Author: Oriol Zertuche

Oriol Zertuche is the CEO of CODESM and Cody AI. As an engineering student from the University of Texas-Pan American, Oriol leveraged his expertise in technology and web development to establish renowned marketing firm CODESM. He later developed Cody AI, a smart AI assistant trained to support businesses and their team members. Oriol believes in delivering practical business solutions through innovative technology.

Adobe Firefly’s Generative AI Credits for Designers [Latest Update]

Adobe integrated its generative AI capabilities into Adobe Creative Cloud, Adobe Express, and Adobe Experience Cloud. Read more!

The global Generative AI in design market is projected to skyrocket, reaching a staggering $7,754.83 million by 2032, with a remarkable growth rate of 34.11%

In September, Adobe became one of the critical contributors to this revolution with the introduction of a groundbreaking innovation—the Firefly web application. Later, they augmented it with more features. For designers, this platform is like a fun place where they can use AI to make their creative ideas even better. 

After a successful six-month beta period, Adobe seamlessly integrated Firefly’s capabilities into its creative ecosystem, including Adobe Creative Cloud, Adobe Express, and Adobe Experience Cloud, making them available for commercial use. 

In this blog, we’ll explore how Adobe’s Generative AI with credits, powered by Firefly, is changing the game for designers.

The Creative Power of Firefly’s Generative AI Models

Firefly’s Generative AI models span various creative domains, including images, text effects, and vectors. These models are impressive because they can understand and react to written instructions in more than 100 languages. This way, designers from around the world can create captivating and commercially viable content. 

What’s even more exciting is that Adobe has integrated Firefly-powered features into multiple applications within Creative Cloud. It offers a wide range of creative empowerment. Some examples are Generative Fill and Generative Expand in Photoshop, Generative Recolor in Illustrator, and Text to Image and Text Effects in Adobe Express.

Empowering Designers with Enterprise-Level Innovation

Adobe’s commitment to bringing new ideas and technology isn’t just for individual creators; it’s for big companies, too. The availability of Firefly for Enterprise brings state-of-the-art generative AI capabilities to Adobe GenStudio and Express for Enterprise. In close collaboration with business clients, Adobe allows them to customize AI models using their proprietary assets and brand-specific content. 

Well-known international companies like Accenture, IHG Hotels & Resorts, Mattel, NASCAR, NVIDIA, ServiceNow, and Omnicom are already using Firefly to make their work easier and faster. They’re using it to save money and speed up how they get their content ready.

Moreover, enterprise customers gain access to Firefly APIs. This helps them easily integrate this creative power into their own ecosystems and automation workflows. The added benefit of intellectual property (IP) indemnification ensures that content generated via Firefly remains secure and free from legal complications.

A New Era of Generative AI Credits

Adobe has a credit-based system for Generative AI to make generative image workflows more accessible and flexible. 

Users of the Firefly web application, Express Premium, and Creative Cloud paid plans now receive an allocation of “fast” Generative Credits. These credits serve as tokens. So, users can convert text-based prompts into images and vectors using applications like Photoshop, Illustrator, Express, and the Firefly web application.

Those who exhaust their initial “fast” Generative Credits can continue generating content at a slower pace or opt to purchase additional credits through a Firefly paid subscription plan.  

In November 2023, Adobe plans to offer users the option to acquire extra “fast” Generative Credits through a subscription pack. This move will make it even more convenient to make the most of the creative potential of Generative AI.

1. What are generative credits?

Generative credits are what you use to access the generative AI features of Firefly in the applications you have rights to. Your generative credit balance is replenished every month.

2. When do your generative credits renew?

If you have a paid subscription, your generative credits are refreshed monthly, aligning with the date your plan initially started billing. For instance, if your plan began on the 15th, your credits will reset on the 15th of each month. As a free user without a subscription, you receive generative credits when you first use a Firefly-powered feature. For example, if you log into the Firefly website and use Text to Image on the 15th, you get 25 generative credits, which will last until the 15th of the following month. The next time you use a Firefly feature for the first time in a new month, you’ll get new credits that last for one month from that date.

3. How are generative credits consumed?

The number of generative credits you use depends on the computational cost and value of the generative AI feature you’re using. For example, you’ll use credits when you select ‘Generate’ in Text Effects or ‘Load More’ or ‘Refresh’ in Text to Image.

How are generative credits consumed?

Image Source


However, you won’t use credits for actions labeled as “0” in the rate table or when viewing samples in the Firefly gallery unless you select ‘Refresh’, which generates new content and thus uses credits.

Adobe firefly Generative credits usage rate table

Image Source


The credit consumption rates apply to standard images up to 2000 x 2000 pixels. To benefit from these rates, ensure you are using the latest version of the software. Be aware that usage rates may vary, and plans are subject to change.

Adobe Firefly is continually evolving, with plans to update the rate card as new features and services, like higher-resolution images, animation, video, and 3D generative AI capabilities, are added. The credit consumption for these upcoming features might be higher than the current rates.

4. How many generative credits are included in your plan?

Your plan provides a certain number of generative credits monthly, usable across Adobe Firefly’s generative AI features in your entitled applications. These credits reset each month. If you hold multiple subscriptions, your total credits are a combination of each plan’s allocation. Paid Creative Cloud and Adobe Stock subscriptions offer a specific number of monthly creations, after which AI feature speed may decrease.

Paid Adobe Express and Adobe Firefly plans also include specific monthly creations, allowing two actions per day post-credit exhaustion until the next cycle. Free plan users receive specific monthly creations, with the option to upgrade for continued access after reaching their limit.

5. How can you check your remaining generative credits?

If you have an Adobe ID, you can view your generative credit balance in your Adobe account. This displays your monthly allocation and usage. For a limited period, paid subscribers of Creative Cloud, Adobe Firefly, Adobe Express, and Adobe Stock will not face credit limits despite the displayed counter. Credit limits are expected to be enforced after January 1, 2024.

6. Do generative credits carry over to the next month?

No, generative credits do not roll over. The fixed computational resources in the cloud presuppose a specific allocation per user each month. Your credit balance resets monthly to the allocated amount.

7. What if you have multiple subscriptions?

With multiple subscriptions, your generative credits are cumulative, adding up from each plan. For example, having both Illustrator and Photoshop allows you to use credits in either app, as well as in Adobe Express or Firefly. Your total monthly credits equal the sum of each plan’s allocation.

multiple subscriptions adobe firefly generative ai credits

Image Source


8. What happens if you exhaust your generative credits?

Your credits reset each month. Until January 1, 2024, paid subscribers won’t face credit limits. Post-credit limit enforcement paid Creative Cloud and Adobe Stock users may experience slower AI feature use, while Adobe Express and Adobe Firefly paid users can make two actions per day. Free users can upgrade for continued creation.

9. What if you need more generative credits?

Until credit limits are enforced, paid subscribers can create beyond their monthly limit. Free users can upgrade for continued access.

10. Why does Adobe use generative credits?

Generative credits facilitate your exploration and creation using Adobe Firefly’s AI technology in Adobe apps. They reflect the computational resources needed for AI-generated content. Your subscription determines your monthly credit allocation, with consumption based on the AI feature’s computational cost and value.

11. Are generative credits shared in team or enterprise plans?

Generative credits are individual and not shareable across multiple users in teams or enterprise plans.

12. Are Adobe Stock credits and generative credits interchangeable?

No, Adobe Stock credits and generative credits are distinct. Adobe Stock credits are for licensing content from the Adobe Stock website, while generative credits are for creating content with Firefly-powered features.

13. What about future AI capabilities and functionalities?

Future introductions like 3D, video, or higher resolution image and vector generation may require additional generative credits or incur extra costs. Keep an eye on our rate table for updates.

Trust and Transparency in AI-Generated Content

Adobe’s Firefly initiative ensures trust and transparency in AI-generated content. It utilizes a range of models, each tailored to cater to users with varying skill sets and working across diverse use cases. 

In fact, Adobe’s commitment to ethical AI is evident in its initial model as it was trained using non-copyright-infringing data. This way, it ensures that the generated content is safe for commercial use. Moreover, as new Firefly models are introduced, Adobe prioritizes addressing potential harmful biases.

Content Credentials – The Digital “Nutrition Label”

Adobe has equipped every asset generated using Firefly with Content Credentials, serving as a digital “nutrition label.” These credentials provide essential information, such as the asset’s name, creation date, tools used for creation, and any edits made. 

This data is supported by free, open-source technology from the Content Authenticity Initiative (CAI). This ensures that it remains associated with the content wherever it is used, published, or stored. This facilitates proper attribution and helps consumers make informed decisions about digital content.

Next-Generation AI Models

In a two-hour-long keynote event held in Los Angeles in October, Adobe launched several cutting-edge AI models, with Firefly Image 2 taking the spotlight. This iteration of the original Firefly AI image generator, powering features like Photoshop’s Generative Fill, offers higher-resolution images with intricate details. 

Users can experience better realism with details like foliage, skin texture, hair, hands, and facial features in photorealistic human renderings. Adobe has made Firefly Image 2 available for users to explore via the web-based Firefly beta, with plans for integration into Creative Cloud apps on the horizon.

The New Frontier of Vector Graphics

In the same event, Adobe also announced the introduction of two new Firefly models focused on generating vector images and design templates. The Firefly Vector Model is considered the first generative AI solution for creating vector graphics through text prompts. This model opens up a wide array of applications, from streamlining marketing and ad graphic creation to ideation and mood board development, offering designers an entirely new realm of creative possibilities.

Looking Forward

Adobe’s Generative AI, powered by the Firefly platform, is reshaping the design landscape. From individual creators to enterprises and global brands, this technology offers exciting creative potential. 

With innovative features like Generative Credits and a commitment to transparency, Adobe is not just advancing creative tools but also building trust and ethical AI practices in the design industry. The future looks bright for designers tapping on the potential of Firefly’s Generative AI.

Read More: Grok Generative AI: Capabilities, Pricing, and Technology

Grok Generative AI: Capabilities, Pricing, and Technology

On November 4, 2023, Elon Musk revealed Grok, a game-changing AI model. Here's what it can do and what it'll cost you.

In 2022, we saw a pretty giant leap in AI adoption. Large-scale Generative AI makes up about 23% of the tech world. Now, when we fast forward to 2025, the excitement surges up even more with a 46% in large-scale AI adoption. Right in the middle of this AI revolution, this exciting new player is making its grand entrance. On November 4, 2023, Elon Musk revealed Grok, a game-changing AI model.

Grok isn’t here to play small; it’s to push the boundaries of what AI can do.   

Grok is not just another AI assistant; it’s designed to be witty, intelligent, and capable of answering a wide range of questions. In this blog, we’ll explore what Grok is, its capabilities, and why it’s generating so much excitement.

Grok: The Heart of X (Previously Twitter)

Grok finds its new home within X, which was previously known as Twitter. But this isn’t just a rebranding; it’s a significant step forward in AI capabilities. Grok is the brainchild of X, and it’s designed to do more than just give boring answers. It wants to entertain you, engage you, and it even loves a good laugh.

The Knowledge Powerhouse

What sets Grok apart is its access to real-time knowledge, thanks to its integration with the X platform. This means it’s got the scoop on the latest happenings. This makes Grok a powerhouse when it comes to tackling even the trickiest questions that most other AI models might just avoid. 

Grok is relatively young in the AI world. It’s only been around for four short months and has been training for just two months. Nonetheless, it is already showing immense promise, and X promises further improvements in the days to come.

Grok-1: The Engine Behind Grok

Grok-1 is the driving force behind Grok’s capabilities. This large language model (LLM) has been in the making for four months and has undergone substantial training. 

Just to give you an idea, the early version, Grok-0, was trained with 33 billion parameters. That’s like having a supercharged engine in place. It could hold its own with Meta’s LLaMa 2, which has 70 billion parameters. Grok-1 is a testament to what focused development and training can do.

So, how did Grok-1 get so smart? Well, it went through some intense custom training based on Kubernetes, Rust, and JAX. Plus, Grok-1’s got real-time internet access. It’s always surfing the web, staying up-to-date with all the latest info.  

But here’s the catch: Grok isn’t perfect. It can sometimes generate information that’s not quite on the mark, even things that contradict each other. But xAI, Elon Musk’s AI startup integrated into X, is on a mission to make Grok better. They want your help your feedback to make sure Grok understands the context, gets more versatile, and can handle the tough queries flawlessly. 

Benchmarks and Beyond

Grok-1 has been put to the test with various benchmarks, and the results are impressive. It scored 63.2% on the HumanEval coding task and an even more impressive 73% on the MMLU benchmark. Although it’s not outshining GPT-4, xAI is pretty impressed with Grok-1’s progress. They’re saying it’s come a long way from Grok-0, and that’s some serious improvement.

The Academic Challenge

Grok-1 doesn’t stop at math problems. It aces various other tests like MMLU and HumanEval and even flexes its coding skills in Python. And if that’s not enough, it can take on middle-school and high-school-level math challenges. 

Notably, Grok-1 cleared the 2023 Hungarian National High School Finals in mathematics with a C grade (59%), surpassing Claude 2 (55%), while GPT-4 managed a B grade with 68%.

These benchmark results clearly show that Grok-1 is a big leap forward, surpassing even OpenAI’s GPT-3.5 in many aspects. What’s remarkable is that Grok-1 is doing this with fewer data sets and without demanding extensive computing capabilities.

Grok infographic - how is it better than GPT 3.5

Grok’s Limited Release – How Much Does it Cost?

As of now, the beta version of Grok is available to a select group of users in the United States. 

But here’s the exciting part – the anticipation is building because Grok is getting ready to open its doors to X Premium+ subscribers. For just ₹1,300 per month, when you access it from your desktop, you’ll have the keys to Grok’s super-smart potential. 


Grok represents a significant step forward in the world of AI. With its blend of knowledge, wit, and capabilities, it’s set to make a great impact on how you interact with technology. As Grok continues to evolve and refine its skills, it’s not just answering questions – it’s changing the way you ask. In the coming days, expect even more exciting developments from this intelligent and witty AI.

GPT-4 Vision: What is it Capable of and Why Does it Matter?

GPT-4 with Vision (GPT-4V), a groundbreaking advancement by OpenAI, combines the power of deep learning with computer vision. Its features are

Enter GPT-4 Vision (GPT-4V), a groundbreaking advancement by OpenAI that combines the power of deep learning with computer vision. 

This model goes beyond understanding text and delves into visual content. While GPT-3 excelled at text-based understanding, GPT-4 Vision takes a monumental leap by integrating visual elements into its repertoire. 

In this blog, we will explore the captivating world of GPT-4 Vision, examining its potential applications, the underlying technology, and the ethical considerations associated with this powerful AI development.

What is GPT-4 Vision (GPT-4V)?

GPT-4 Vision, often referred to as GPT-4V, stands as a significant advancement in the field of artificial intelligence. It involves integrating additional modalities, such as images, into large language models (LLMs). This innovation opens up new horizons for artificial intelligence, as multimodal LLMs have the potential to expand the capabilities of language-based systems, introduce novel interfaces, and solve a wider range of tasks, ultimately offering unique experiences for users. It builds upon the successes of GPT-3, a model renowned for its natural language understanding. GPT-4 Vision not only retains this understanding of text but also extends its capabilities to process and generate visual content. 

This multimodal AI model possesses the unique ability to comprehend both textual and visual information. Here’s a glimpse into its immense potential:

Visual Question Answering (VQA)

GPT-4V can answer questions about images, providing answers such as “What type of dog is this?” or “What is happening in this picture?”

Image Classification

It can identify objects and scenes within images, distinguishing cars, cats, beaches, and more.

Image Captioning

GPT-4V can generate descriptions of images, crafting phrases like “A black cat sitting on a red couch” or “A group of people playing volleyball on the beach.”

Image Translation

The model can translate text within images from one language to another.

Creative Writing

GPT-4V is not limited to understanding and generating text; it can also create various creative content formats, including poems, code, scripts, musical pieces, emails, and letters, and incorporate images seamlessly.

Read More: GPT-4 Turbo 128K Context: All You Need to Know

How to Access GPT-4 Vision?

Accessing GPT-4 Vision is primarily through APIs provided by OpenAI. These APIs allow developers to integrate the model into their applications, enabling them to harness its capabilities for various tasks. OpenAI offers different pricing tiers and usage plans for GPT-4 Vision, making it accessible to many users. The availability of GPT-4 Vision through APIs makes it versatile and adaptable to diverse use cases.

How Much Does GPT-4 Vision Cost?

The pricing for GPT-4 Vision may vary depending on usage, volume, and the specific APIs or services you choose. OpenAI typically provides detailed pricing information on its official website or developer portal. Users can explore the pricing tiers, usage limits, and subscription options to determine the most suitable plan.

What is the Difference Between GPT-3 and GPT-4 Vision?

GPT-4 Vision represents a significant advancement over GPT-3, primarily in its ability to understand and generate visual content. While GPT-3 focused on text-based understanding and generation, GPT-4 Vision seamlessly integrates text and images into its capabilities. Here are the key distinctions between the two models:

Multimodal Capability

GPT-4 Vision can simultaneously process and understand text and images, making it a true multimodal AI. GPT-3, in contrast, primarily focused on text.

Visual Understanding

GPT-4 Vision can analyze and interpret images, providing detailed descriptions and answers to questions about visual content. GPT-3 lacks this capability, as it primarily operates in the realm of text.

Content Generation

While GPT-3 is proficient at generating text-based content, GPT-4 Vision takes content generation to the next level by incorporating images into creative content, from poems and code to scripts and musical compositions.

Image-Based Translation

GPT-4 Vision can translate text within images from one language to another, a task beyond the capabilities of GPT-3.

What Technology Does GPT-4 Vision Use?

To appreciate the capabilities of GPT-4 Vision fully, it’s important to understand the technology that underpins its functionality. At its core, GPT-4 Vision relies on deep learning techniques, specifically neural networks. 

The model comprises multiple layers of interconnected nodes, mimicking the structure of the human brain, which enables it to process and comprehend extensive datasets effectively. The key technological components of GPT-4 Vision include:

1. Transformer Architecture

Like its predecessors, GPT-4 Vision utilizes the transformer architecture, which excels in handling sequential data. This architecture is ideal for processing textual and visual information, providing a robust foundation for the model’s capabilities.

2. Multimodal Learning

The defining feature of GPT-4 Vision is its capacity for multimodal learning. This means the model can process text and images simultaneously, enabling it to generate text descriptions of images, answer questions about visual content, and even generate images based on textual descriptions. Fusing these modalities is the key to GPT-4 Vision’s versatility.

3. Pre-training and Fine-tuning

GPT-4 Vision undergoes a two-phase training process. In the pre-training phase, it learns to understand and generate text and images by analyzing extensive datasets. Subsequently, it undergoes fine-tuning, a domain-specific training process that hones its capabilities for applications.

Meet LLaVA: The New Competitor to GPT-4 Vision


GPT-4 Vision is a powerful new tool that has the potential to revolutionize a wide range of industries and applications. 

As it continues to develop, it is likely to become even more powerful and versatile, opening new horizons for AI-driven applications. Nevertheless, the responsible development and deployment of GPT-4 Vision, while balancing innovation and ethical considerations, are paramount to ensure that this powerful tool benefits society.

As we stride into the age of AI, it is imperative to adapt our practices and regulations to harness the full potential of GPT-4 Vision for the betterment of humanity.

Read More: OpenAI’s ChatGPT Enterprise: Cost, Benefits, and Security

Frequently Asked Questions (FAQs)

1. What is GPT Vision, and how does it work for image recognition?

GPT Vision is an AI technology that automatically analyzes images to identify objects, text, people, and more. Users simply need to upload an image, and GPT Vision can provide descriptions of the image content, enabling image-to-text conversion.

2. What are the OCR capabilities of GPT Vision, and what types of text can it recognize?

GPT Vision has industry-leading OCR (Optical Character Recognition) technology that can accurately recognize text in images, including handwritten text. It can convert printed and handwritten text into electronic text with high precision, making it useful for various scenarios.


3. Can GPT Vision parse complex charts and graphs?

Yes, GPT Vision can parse complex charts and graphs, making it valuable for tasks like extracting information from data visualizations.

4. Does GPT-4V support cross-language recognition for image content?

Yes, GPT-4V supports multi-language recognition, including major global languages such as Chinese, English, Japanese, and more. It can accurately recognize image contents in different languages and convert them into corresponding text descriptions.

5. In what application scenarios can GPT-4V’s image recognition capabilities be used?

GPT-4V’s image recognition capabilities have many applications, including e-commerce, document digitization, accessibility services, language learning, and more. It can assist individuals and businesses in handling image-heavy tasks to improve work efficiency.

6. What types of images can GPT-4V analyze?

GPT-4V can analyze various types of images, including photos, drawings, diagrams, and charts, as long as the image is clear enough for interpretation.

7. Can GPT-4V recognize text in handwritten documents?

Yes, GPT-4V can recognize text in handwritten documents with high accuracy, thanks to its advanced OCR technology.

8. Does GPT-4V support recognition of text in multiple languages?

Yes, GPT-4V supports multi-language recognition and can recognize text in multiple languages, making it suitable for a diverse range of users.

9. How accurate is GPT-4V at image recognition?

The accuracy of GPT-4V’s image recognition varies depending on the complexity and quality of the image. It tends to be highly accurate for simpler images like products or logos and continuously improves with more training.

10. Are there any usage limits for GPT-4V?

– Usage limits for GPT-4V depend on the user’s subscription plan. Free users may have limited prompts per month, while paid plans may offer higher or no limits. Additionally, content filters are in place to prevent harmful use cases.

Trivia (or not?!)


GPT-4 Turbo 128K Context: All You Need to Know

GPT-4 Turbo 128K: Slashed Prices and New Updates

OpenAI’s highly anticipated DevDay event brought some exciting news and pricing leaks that have left the AI community buzzing with anticipation. Among the key highlights are the release of GPT-4 Turbo, significant price reductions for various services, the GPT-4 turbo 128k context window, and the unveiling of Assistants API. Let’s delve into the details and see how these developments are shaping the future of AI.

GPT-4 Turbo: More Power at a Lower Price

The headline-grabber of the event was undoubtedly the unveiling of the GPT-4 Turbo. This advanced AI model boasts a staggering 128K context window, a significant leap forward from its predecessor, GPT-3.5. With this expanded context, GPT-4 Turbo can read and process information equivalent to a 400-page book in a single context window. This newfound capability eliminates one of the key differentiators for Anthropic, OpenAI’s sibling company, as GPT-4 Turbo now offers a comparable context size.

But the news doesn’t stop there. GPT-4 Turbo not only offers a larger context window but also delivers faster output and is available at a fraction of the input and output prices of GPT-4. This combination of enhanced capabilities and cost-effectiveness positions GPT-4 Turbo as a game-changer in the world of AI.

OpenAI devday pricing leaks 128k context gpt-4 turbo

Price Reductions Across the Board

OpenAI is making AI more accessible and affordable than ever before. The leaked information suggests that the input cost for GPT-3.5 has been slashed by 33%. Additionally, GPT-3.5 models will now default to 16K, making it more cost-effective for users. These changes aim to democratize AI usage, allowing a broader audience to harness the power of these models.

Fine-tuned models, a crucial resource for many AI applications, also benefit from substantial price reductions. Inference costs for fine-tuned models are reportedly slashed by a whopping 75% for input and nearly 60% for output. These reductions promise to empower developers and organizations to deploy AI-driven solutions more economically.

OpenAI devday pricing leaks 128k context gpt-4 turbo

OpenAI devday pricing leaks 128k context gpt-4 turbo

OpenAI devday pricing leaks 128k context gpt-4 turbo


Assistants API: A New Frontier in AI

OpenAI devday pricing leaks 128k context gpt-4 turbo

OpenAI’s DevDay also showcased the upcoming Assistants API, which is set to provide users with a code interpreter and retrieval capabilities via an API. This innovation is expected to streamline the integration of AI into various applications, enabling developers to build even more powerful and dynamic solutions.

Dall-E 3 and Dall-E 3 HD: Expanding Creative Horizons

The event also revealed the introduction of Dall-E 3 and Dall-E 3 HD. While these models promise to push the boundaries of creative AI, they are positioned as more expensive options compared to Dall-E 2. However, the enhanced capabilities of these models may justify the higher cost for users seeking cutting-edge AI for image generation and manipulation.

The Power of 128K Context

To put it simply, the GPT-4 Turbo 128K context window allows it to process and understand an astonishing amount of information in a single instance. For context, the previous generation, GPT-3, had a context window of 1,024 tokens. Tokens can represent words, characters, or even subwords, depending on the language and text. GPT-4 Turbo 128K context window is approximately 125 times larger than that of GPT-3, making it a true behemoth in the world of AI language models.

Practical Implications

The introduction of GPT-4 Turbo with its 128K context window is a remarkable step forward in the field of AI. Its ability to process and understand vast amounts of information has the potential to revolutionize how we interact with AI systems, conduct research, create content, and more. As developers and researchers explore the possibilities of this powerful tool, we can expect to see innovative applications that harness the full potential of GPT-4 Turbo’s capabilities, unlocking new horizons in artificial intelligence.

Comprehensive Understanding

With a 128K context, GPT-4 Turbo can read and analyze extensive documents, articles, or datasets in their entirety. This capability enables it to provide more comprehensive and accurate responses to complex questions, research tasks, or data analysis needs.

Contextual Continuity

Previous models often struggled with maintaining context across long documents, leading to disjointed or irrelevant responses. GPT-4 Turbo 128K window allows it to maintain context over extended passages, resulting in more coherent and contextually relevant interactions.

Reducing Information Overload

In an era of information overload, GPT-4 Turbo’s ability to process vast amounts of data in one go can be a game-changer. It can sift through large datasets, extract key insights, and provide succinct summaries, saving users valuable time and effort.

Advanced Research and Writing

Researchers, writers, and content creators can benefit significantly from GPT-4 Turbo’s 128K context. It can assist in generating in-depth research papers, articles, and reports with a deep understanding of the subject matter.

Enhanced Language Translation

Language translation tasks can benefit from the broader context as well. GPT-4 Turbo can better understand the nuances of languages, idiomatic expressions, and cultural context, leading to more accurate translations.

Challenges and Considerations

While GPT-4 Turbo 128K context is undoubtedly a game-changer, it also presents challenges. Handling such large models requires significant computational resources, which may limit accessibility for some users. Additionally, ethical considerations around data privacy and content generation need to be addressed as AI models become more powerful.

More on its Way for GPT-4?

OpenAI’s DevDay event delivered a wealth of exciting updates and pricing leaks that are set to shape the AI landscape. GPT-4 Turbo’s impressive 128K context window, faster output, and reduced pricing make it a standout offering. The overall price reductions for input, output, and fine-tuned models are set to democratize AI usage, making it more accessible to a broader audience. The forthcoming Assistants API and Dall-E 3 models further highlight OpenAI’s commitment to innovation and advancing the field of artificial intelligence.

As these developments unfold, it’s clear that OpenAI is determined to empower developers, businesses, and creative minds with state-of-the-art AI tools and services. The future of AI is looking brighter and more accessible than ever before.

Read More: OpenAI’s ChatGPT Enterprise: Cost, Benefits, and Security

OpenAI’s ChatGPT Enterprise: Cost, Benefits, and Security

Canva, Carlyle, The Estée Lauder Companies, PwC, and Zapier are reshaping their operations with ChatGPT Enterprise.

OpenAI’s ChatGPT Enterprise, designed for business needs, is making waves. Early adopters like Canva, Carlyle, The Estée Lauder Companies, PwC, and Zapier are reshaping their operations with ChatGPT Enterprise. In this blog, we’ll explore ChatGPT Enterprise, its advantages, and why it outshines ChatGPT 4.

ChatGPT has rapidly gained traction among businesses, with 49% already using it and 30% planning to do so. Moreover, it has proved itself to enhance customer satisfaction by up to 20%. 

What is OpenAI’s ChatGPT Enterprise?




ChatGPT Enterprise, designed for businesses, is a powerful AI assistant that enhances organizational productivity. It offers advanced security, unlimited high-speed access to GPT-4, extended context windows for processing longer inputs, advanced data analysis, and customizable features. 

This AI assistant can be tailored to your organization’s needs to help with various tasks while safeguarding company data. ChatGPT Enterprise makes teams more creative, efficient, and effective.

What is the Cost of ChatGPT Enterprise?

ChatGPT Enterprise offers three pricing tiers:

Free Version

$0 per person/month; includes GPT-3.5 and regular model updates.

Plus Version

$20 per person/month; includes GPT-4, advanced data analysis, plugins, and early access to beta features.

Enterprise Version

Pricing details are available upon request; ChatGPT enterprise offers everything in Plus, with additional benefits such as unlimited high-speed GPT-4, longer inputs with 32k token context, unlimited advanced data analysis, internally shareable chat templates, a dedicated admin console, SSO, domain verification, analytics, API credits for custom solutions, and assurance that enterprise data is not used for training.

How Can Businesses Use ChatGPT Enterprise?


Businesses can leverage ChatGPT Enterprise to improve their operations and make the most of their efficiency and creativity. Here’s how:

  • Craft clear communication to improve interactions with customers, partners, and team members.
  • Helps compose articulate messages and documents and expedite coding tasks.
  • Automate certain aspects of software development and troubleshooting.
  • Rapidly explore answers to complex business questions.
  • Aids businesses in data analysis, market research, and decision-making.
  • Provides innovative ideas and content suggestions for ideation, content creation, and design.
  • Finds applications across domains, including customer support, content generation, legal drafting, and more.

What Are the Benefits of ChatGPT Enterprise?


ChatGPT Enterprise offers a wide range of benefits tailored to meet the diverse needs of organizations and teams, enhancing productivity and efficiency


ChatGPT Enterprise offers a wide range of benefits tailored to meet the diverse needs of organizations and teams, enhancing productivity and efficiency:

Scalable Deployment Tools

ChatGPT Enterprise provides scalable deployment tools. This way,  it can grow alongside your organization’s requirements. Whether you have a small team or a large enterprise, you can expand your usage as needed.

Dedicated Admin Console and Easy Member Management

The dedicated admin console makes user management simpler. It also allows for easy bulk member management. You can efficiently control access and permissions to streamline user onboarding and offboarding.

SSO and Domain Verification

ChatGPT Enterprise allows enterprise-level authentication through Single Sign-On (SSO) and domain verification. This adds a layer of security to user access. So, only authorized personnel can use the platform.

Analytics Dashboard

ChatGPT Enterprise includes an analytics dashboard that provides insights into usage. This helps organizations monitor performance, track usage patterns, and make data-driven decisions to improve workflows.

Fast, Uncapped GPT-4

With ChatGPT Enterprise, you get access to GPT-4 without caps on usage. This means you can utilize the capabilities of advanced AI without restrictions, enhancing your business efficiency.

Extended Token Context Windows

ChatGPT Enterprise allows for 32,000 token context windows. It offers four times longer inputs and improved memory. This is particularly beneficial for handling complex tasks and longer conversations.

Shareable Chat Templates

You can collaborate more effectively within your organization by using shareable chat templates. These templates help manage common workflows, ensuring consistency in communication.


You can tailor ChatGPT to your organization by securely extending its knowledge with your company data. Simply connect the applications you already use to create a fully customized solution for your specific needs.


How Secure Is ChatGPT Enterprise?


How Secure Is ChatGPT Enterprise? ChatGPT Enterprise prioritizes data ownership, control, and security.


ChatGPT Enterprise prioritizes data ownership, control, and security. Here’s how:

Data Ownership and Control

OpenAI does not employ your data from ChatGPT Enterprise or its API Platform for training or other purposes. Your inputs and outputs are under your ownership and control, in compliance with relevant legal requirements. You have the authority to determine the duration for which your data is retained, ensuring data control in ChatGPT Enterprise.

Access Control

ChatGPT Enterprise provides enterprise-level authentication via SAML SSO. It offers fine-grained control over user access and the features available to them. Custom models created within ChatGPT Enterprise are exclusively yours; they are not shared with any other entity.

Security Compliance

OpenAI has undergone auditing for SOC 2 compliance, which attests to its rigorous adherence to security, availability, processing integrity, confidentiality, and privacy standards. Data security is upheld through encryption at rest (using AES-256 encryption) and in transit (utilizing TLS 1.2+). These encryption measures guarantee that your data is protected during storage and transmission.

What Is the Difference Between ChatGPT 4 and Enterprise?

Both ChatGPT 4 and ChatGPT Enterprise are remarkable AI solutions with advanced capabilities. However, there are subtle differences that set them apart. Here’s what makes ChatGPT 4 different from Enterprise:

Training Data and Feedback

ChatGPT-4 uses human feedback, including user feedback, to improve its behavior. On the other hand, ChatGPT Enterprise does not use customer prompts or data for training. It relies solely on its pre-trained model. 

Access and Speed

ChatGPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) designed for broader usage beyond enterprise applications. However, ChatGPT Enterprise offers unlimited, high-speed access to GPT-4, making it suitable for enterprise-level use.

Context Window

GPT-4, while powerful, is designed to handle over 25,000 words of text, slightly less than ChatGPT Enterprise, which allows for 32,000 token context windows, enabling longer inputs and memory.

Intended Users

GPT-4 is not limited to enterprises and can be used by a broader range of users, including individuals, researchers, and developers. However, ChatGPT Enterprise is specifically designed for enterprise use, catering to the needs of businesses and organizations.

Read More: OpenAI GPT-3.5 Turbo & GPT 4 Fine Tuning

Should You Buy ChatGPT Enterprise?

Whether you should buy ChatGPT Enterprise depends on your specific needs and requirements. ChatGPT Enterprise is entering a competitive market, with potential rivals like Microsoft’s Bing Chat Enterprise and Salesforce. The pricing for ChatGPT Enterprise is currently unclear, which is not uncommon for new products and services. 

Here are some key considerations:

Assessment of Needs

Thoroughly assess your organization’s needs, processes, workflows, and strategies. It’s crucial to identify the problems or gaps that need to be addressed with a conversational AI solution.

Market Comparison

Research and compare ChatGPT Enterprise with its competitors, such as Microsoft’s Bing Chat Enterprise and Salesforce’s offerings. They should consider the features, capabilities, and pricing of these alternatives to determine which best aligns with your needs.

Budget and Cost

Establish a budget and evaluate whether the cost of ChatGPT Enterprise is justifiable based on the potential benefits and ROI it can provide.

Implementation and Integration

Consider the ease of integration with existing systems and workflows. How well does ChatGPT Enterprise fit into your organization’s technology ecosystem?

Support and Maintenance

Evaluate the level of support and maintenance provided by OpenAI or other vendors. A reliable support system can be essential to ensure that the technology functions effectively and addresses any issues promptly.

Scalability and Customization

Determine whether ChatGPT Enterprise can scale with your organization’s growth and be customized to meet specific requirements.

Data Security and Compliance

Consider the data security and compliance aspects, especially in a regulated industry. Ensure that the solution meets your data protection and privacy requirements. Your decision to buy ChatGPT Enterprise or any similar technology should be based on a thorough evaluation of your organization’s unique needs and the capabilities of the product in question.

At the time of ChatGPT Enterprise’s release, OpenAI stated:

“We believe AI can assist and elevate every aspect of our working lives and make teams more creative and productive. Today marks another step towards an AI assistant for work that helps with any task, is customized for your organization, and that protects your company data.”

ChatGPT Enterprise could change the AI game for businesses thanks to its transformative AI powers. It empowers organizations with advanced data analysis, extended context, and improved security, increasing efficiency while ensuring data protection. This solution signifies the growing role of AI in forward-thinking businesses.


Does ChatGPT have an Enterprise Version?

ChatGPT Enterprise is a business-focused AI assistant that boosts productivity with security, high-speed GPT-4 access, extended context, data analysis, and customization. It empowers teams and protects company data.

Is ChatGPT enterprise free?

ChatGPT Enterprise does have a free plan that provides access to GPT-3.5 with regular model updates. However, additional features can be accessed using paid plans. 

OpenAI DevDay Announcements [Live Stream]

OpenAI's DevDay is a developer conference scheduled for November 6, 2023, in San Francisco to unite hundreds of developers worldwide. 

OpenAI DevDay, a one-day developer conference scheduled for November 6, 2023, in San Francisco, is a game-changer for developers, tech fans, and AI lovers. It’s like a lively meeting where developers from everywhere can come together, learn, and collaborate with the OpenAI team to understand where AI is headed. 

We’re looking forward to showing our latest work to enable developers to build new things.

Sam Altman, CEO of OpenAI

Let’s find out why OpenAI’s first developer conference matters a lot and how it can reshape the future of AI development.

What is OpenAI DevDay?

OpenAI’s DevDay is a highly anticipated developer conference scheduled for November 6, 2023, in San Francisco. This inaugural one-day event will unite hundreds of developers worldwide. 

A unique opportunity to engage with OpenAI’s team, DevDay will serve as a platform for developers to get a sneak peek at upcoming tools. In-person attendees can participate in enlightening breakout sessions led by OpenAI’s technical experts. The event promises a day of insights, collaboration, and exploration in the field of artificial intelligence.

What Announcements to Expect from OpenAI DevDay?

OpenAI DevDay is a highly anticipated developer conference. Attendees can anticipate an intellectually stimulating and engaging event. The day will be filled with a diverse range of activities planned to provide valuable insights into artificial intelligence. Here’s what one can expect from the event: 

Keynote Speeches

DevDay will feature keynote speeches by prominent AI researchers and experts. These speeches will offer an in-depth exploration of the latest AI business developments. The topics may range from discussions on GPT-4 to the future of AI technology. The event will also discuss ethical challenges and responsibilities associated with AI development and deployment.

Hands-on Workshops

Attendees can participate in hands-on workshops and gain practical experience with cutting-edge AI tools and apps. These workshops will help developers explore how to make the most of AI in various domains.

Live Demos

OpenAI will showcase its latest advancements through live demos in DevDay. Attendees can see AI technologies in action. This way, they can gain a firsthand understanding of their capabilities and possible uses.

Networking Opportunities

DevDay provides a platform for attendees to network with industry leaders, fellow developers, and AI enthusiasts. These connections can lead to collaborations, knowledge exchange, and future opportunities in the field of AI.

Here’s Rowan Cheung, Founder – The Rundown AI, expressing his curiosity and enthusiasm about OpenAI’s DevDay Conference:




OpenAI DevDay – Who is it For?

OpenAI’s DevDay is designed for developers, tech enthusiasts, and AI specialists. This one-day conference is expected to gather hundreds of developers worldwide to preview new tools, exchange ideas, and participate in breakout sessions. 

So, whether you’re a developer looking for insights or a passionate AI advocate, DevDay will surely offer you an enriching experience of the latest advancements in artificial intelligence.

Why is OpenAI DevDay Important for Developers?

OpenAI’s DevDay serves as a platform for developers to take part in the next wave of AI innovation. It pushes the boundaries of what’s possible in AI app development. So, it is an invaluable event for developers:

Gives Access to Advanced Models

OpenAI’s API has been continually updated to include their most advanced models, such as GPT-4, GPT-3.5, DALL·E 3, and Whisper. Developers have access to cutting-edge AI capabilities through a simple API call. Through this event, developers can learn to utilize state-of-the-art AI in their projects without the need for complex implementations.

Promises Extensive User Base

Over 2 million developers currently utilize OpenAI’s AI models for many use cases. This extensive user base proves that OpenAI’s technology is practical and versatile. These traits make the event a valuable resource for developers across different domains.

Invites Global Developer Community

DevDay aims to bring together developers from around the world. It allows them to connect, share ideas, and collaborate with like-minded professionals. Consequently, they can expand their network and exposure to diverse perspectives and experiences.

Provides Deep-Dive Technical Insights

OpenAI’s experienced technical staff will lead breakout sessions in the event. So, the event is expected to offer developers a unique opportunity to delve into the highly technical aspects of AI development and grasp the intricacies of AI implementation.

Focuses on AI Innovation

Unlike conventional tech conferences, DevDay is centered solely on AI innovation. It’s dedicated to providing developers with the tools and knowledge they need to exceed their expectations from AI development. The event also makes newbie developers part of a vibrant AI developer community.

How to Live Stream OpenAI DevDay?

Despite the registrations for in-person attendance at the DevDay conference being closed, you can join the live stream at 10:00 AM PST on November 6, 2023. You can also watch the OpenAI DevDay event live here to catch the latest announcements revealed at the conference:

More Updates Soon on OpenAI’s DevDay Announcements

OpenAI’s DevDay will offer developers access to advanced AI models, a global community, technical insights, and a focus on innovation. The event can empower developers to redefine AI application development and create groundbreaking applications. DevDay will show them how to explore new and exciting areas in AI and discover future innovations.

Read More: Top 6 AI Tool Directories in 2023