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.

Why DALL-E Matters: Redefining AI in Business Through Visuals

Posted on September 27, 2023 by Oriol Zertuche - AI tools, Artificial Intelligence

OpenAI’s ChatGPT and DALL-E are gaining attention for generating custom text and images as per your instructions. This technology levels the field for businesses of all sizes.

For instance, DALL-E 3 can generate realistic or cartoon-like images in seconds from your text inputs. These AI-generated visuals aren’t just eye-catching; they’re super efficient. Businesses can churn out lots of pictures in one go. In this article, we will explore the potential of DALL-E for business growth in 2023.

What is DALL-E?

DALL-E is a graphic tool using a 12-billion parameter GPT-3 version to create images based on text prompts. It employs deep learning techniques and vast data to train AI for specific tasks. You can even get it to make human-like or animal-like versions of objects. The possibilities are pretty exciting!

Why Is DALL-E 3 Important for Your Business?

DALL-E brings a whole bunch of perks to the table when it comes to branding and making amazing images for your marketing campaigns:

1. Cost-Efficiency

Think about the traditional way of creating images for your business – hiring graphic designers, photographers, and other creatives. It’s not only expensive but can also take up a lot of time. On the other hand, it can help businesses significantly reduce expenses for generating high-quality visuals.

2. Time-Saving

Traditional ways of making visuals include rounds of feedback and revisions that take forever. But with DALL-E, you can skip all that! It streamlines this process. No more long and winding roads to high-quality visuals – it gets you there faster and smoother.

3. Precision

It offers a level of precision that is tailored to your business’s specific needs. It can generate visuals that align closely with your branding and marketing requirements. This means you get spot-on, highly relevant visuals and incredibly effective in conveying your message.

4. Creative Flexibility

It gives users the creative freedom to try out different ideas and tweak their visuals with ease. This flexibility lets businesses experiment with different concepts and adapt their visuals to changing market trends.

5. Quality Results

It consistently delivers high-quality visuals suitable for marketing and branding purposes. It consistently crafts detailed and impactful images, helping your business maintain a professional and appealing image. With DALL-E by your side, you’ll always impress your audience with stunning visuals.

6. Bulk Content Generation

It excels at efficiently generating a significant volume of high-quality content. This scalability is particularly advantageous for businesses with extensive marketing needs, allowing them to efficiently produce a wide range of visuals.

Why Choose DALL-E 3 over DALL-E 2?

When choosing between DALL-E 3 and DALL-E 2, there’s a standout advantage with DALL-E 3: its integration with ChatGPT, simplifying the prompt creation process. Instead of coming up with intricate prompts, users can simply ask ChatGPT to do it for them. It will generate paragraphs that guide DALL-E 3 effectively. This enhances user-friendliness.

Moreover, DALL-E 3 places a strong emphasis on safety. OpenAI has gone the extra mile to build strong safety measures into it. This means DALL-E 3 comes with reduced risks of generating inappropriate or offensive images. So you can use it confidently, knowing your content is responsible and secure.

The “Outpainting” feature of DALL-E

OpenAI’s “Outpainting” feature allows users to use natural language descriptions to extend images beyond their original borders. For instance, you give it half an image, just a woman’s face on her shoulder, and it creates the whole picture with intricate background details, enhancing creativity and visual storytelling.

Use Cases of DALL-E 3

DALL-E benefits both small businesses and large enterprises. It works alongside your designers to create visuals that boost your brand’s value. Key use cases are as follows:

Craft compelling social media posts featuring interactive and lifelike animations.
Develop interactive visuals for your blog articles.
Design logos that captivate your audience.
Craft attractive website designs.
Overcome creative blocks and explore diverse design concepts.
Access royalty-free images showcasing authentic and distinctive designs.
High-quality, high-definition design solutions at your fingertips.

DALL-E Implementation Challenges

DALL-E offers impressive controllability, but there are a few things to remember.

While DALL-E 3 can generate images without needing prompts, you may have specific instructions for DALL-E.
In that case, getting precisely what you want from DALL-E will depend on providing clear instructions.
For collaborative projects, precision becomes challenging.
Take the prompt “Uncle Ricky,” for example – it might not get you the colors you expected.
There’s a trial period, but free usage is limited.
You’ll likely need to buy access to the tool to make the most of DALL-E.

Future Scope of AI-Generated Images

In today’s world, automation is everywhere, making tasks easier and more accurate. AI-powered image tools like DALL-E are just the beginning of this transformation. With the right input, they can produce remarkable high-definition images.

Remember that the quality of the images DALL-E generates depends on the prompts you give it if you want a specific type of image. So, while DALL-E 3 is a fantastic tool, your instructions can play a big role. It’s a partnership between humans and AI – give it the right cues, and you’ll get outstanding results.

OpenAI Introduces GPT-3.5 Turbo-Instruct: A Powerful Leap Forward

Posted on September 25, 2023 by Oriol Zertuche - AI tools, Artificial Intelligence

OpenAI has announced that businesses can now fine-tune GPT-3.5 Turbo using their own data

OpenAI has once again raised the bar by introducing “GPT-3.5 Turbo-Instruct.” The efficiency of GPT-3.5 Turbo with chat optimization is what makes it unique. OpenAI’s move to replace existing models, like Instruct, text-ada-001, text-babbage-001, text-curie-001, and the text-davinci trio, with GPT-3.5 Turbo-Instruct, is a big step.

GPT-3.5 Turbo-Instruct is being considered not just a step forward but a leap into the future of AI technology! Let’s explore the key aspects of this exciting development.

Is GPT-3.5 Turbo Built on InstructGPT’s Legacy?

OpenAI hasn’t spilled all the beans by providing specific technical details or benchmark numbers for GPT-3.5 Turbo-Instruct. But it is inspired by its predecessor, InstructGPT.

Note that InstructGPT was a big deal in the AI arena. It was a major milestone in creating AI models that effectively follow instructions. As GPT-3.5 Turbo-Instruct is built on InstructGPT’s legacy, it will likely deliver even better performance and capabilities.

Key Enhancements

OpenAI has expressed that GPT-4, the successor to GPT-3.5, is designed to excel in following complex instructions and generating higher-quality content. What might excite you is that it’s not just a performance boost but faster, too.

Furthermore, while GPT-3.5 focused more on chat interactions, this new model, GPT-3.5-Turbo-Instruct, can answer questions and directly complete text. This specialization enhances its ability to provide precise and concise responses. So, if you have a task that demands accuracy and clarity above all else, you can rely on this model.

There’s more! GPT-3.5 Turbo-Instruct is cost-effective and still performs just as well as other GPT-3.5 models with 4K context windows. So, you get all the benefits of this advanced model without any increase in cost. This ensures a smooth transition from their existing models.

The big news? You won’t have to wait too long for another innovation – GPT-4 is set to be released later this year!

Use Cases of GPT-3.5 Turbo

GPT-3.5 Turbo-Instruct’s capabilities have opened up various possible practical applications:

Customer support to deliver accurate responses to customer queries
Content generation to craft high-quality, well-informed articles and reports
Data analysis to assist in data interpretation and insights
Educational tools to create interactive learning materials
Research assistance to speed up information retrieval
Programming assistance to generate code snippets and solutions
Medical diagnoses to assist healthcare professionals
Legal document review to efficiently analyze legal texts

A Need for Fine-Tuning

If you haven’t fine-tuned your AI models and have them working, you’ll need to do some re-tuning to align your models with GPT-3.5 Turbo-Instruct. It ensures that the fine-tuned models continue to perform the best with the latest advancements. Also, fine-tuning is currently available for GPT-3.5.

Conclusion

Built upon InstructGPT, OpenAI’s GPT-3.5 Turbo Instruct offers cost efficiency, performance, and better question-answering and text completion. As we look ahead to GPT-4, AI’s future holds even better quality, speed, and affordability. In a world where everything is getting “AI-ed,” OpenAI’s innovation makes it more accessible across various industries through GPT-3.5 Turbo-Instruct.

OpenAI’s DALL-E 3 AI Model for Marketing: What to Expect

Posted on September 23, 2023 by Oriol Zertuche - AI tools, Artificial Intelligence, Business, Marketing

DALL-E 3, developed by OpenAI, can generate highly detailed and realistic images from written prompts.

OpenAI has announced its latest version of the DALL-E generative AI visual art platform, DALL-E 3. The new version offers better capabilities and new features! So, the potential of this advanced tech to improve a brand’s visual identity and supercharge marketing strategies has gotten even better.

What is DALL-E 3?

DALL-E 3 is a newly developed model by OpenAI that can generate highly detailed and realistic images from written prompts. To do this, it assesses a broad image database and crafts relevant visuals with the help of the input text.

While the previous version, DALL-E 2, has impressive capabilities, it has some limitations, such as occasional spelling errors and quirky prompt responses. Crucially, it lacks the nuanced understanding of human designers, including:

understanding of target audiences
complexities of branding
awareness of competitive landscapes

However, according to OpenAI, the most recent version has substantially superior context understanding. It also has ample safety features to prevent lewd or hateful images. And what’s new? Well, that’s DALL-E 3’s integration with ChatGPT. The user can just ask the chatbot to create a detailed prompt, and the chatbot will create a paragraph for DALL-E 3 to follow. So, they don’t necessarily need to write their own prompts. But if users have particular suggestions for DALL-E, they can continue to use their own prompts.

This connection with the chatbot enables more designers to create AI art without requiring strong prompt-writing skills. Moreover, they now can choose not to allow some or all of their artwork to be used in training future generations of OpenAI text-to-image models.

Without creating prompts, designers can work effectively with DALL-E 3 in various ways. Here’s how:

Crafting Compelling Product Images

Visual appeal is essential in the online world. DALL-E 3 can significantly help designers by speeding up the ideation process and removing the need for costly photoshoots. They can either ask ChatGPT for prompts or input prompts like “A happy child jumping on a trampoline” and quickly get relevant images.

Sometimes, it isn’t easy to photograph certain products in their natural settings. In such cases, prompts like “my house floating on the sea” or “a person capturing images of an erupting volcano” can be creative starting points.

Enhancing Website Aesthetics

With attention spans reducing, a visually appealing website is necessary to get eyeballs. DALL-E 3 can help in the creation of banners and captivating images. This speeds up the design process. Moreover, using ChatGPT-generated keywords from text prompts in image descriptions can improve search engine optimization (SEO).

Elevating Social Media Presence

Engaging visuals on social media platforms can attract many likes and shares. DALL-E 3 can help create memes, captivating backgrounds, and product showcases. Posting these images on social media can get a lot of engagement.

Real-World Marketing

AI-generated images go beyond the digital world. Progressive companies have been integrating these images into their real-world marketing campaigns. This way, they’re making the best of AI’s contemporary appeal.

Precise Image Refinement

DALL-E 3 offers excellent editing capabilities. So, designers can tailor images to match the brand’s aesthetics. They can easily adjust colors, remove unwanted elements, or introduce new elements. DALL-E 3 works as an assistant designer and photo editor.

Conclusion

With its enhanced features, DALL-E 3 can better complement your creative team. It could be a valuable source of inspiration when creativity weakens. Whether your designers need mood board references, logo style comparisons, or fresh ideas, DALL-E 3 can quickly give visual stimuli.

Using AI-generated images as a catalyst for design, you streamline creative processes, improve visual appeal, and engage your audience more effectively. Working like a collaborative partner for designers, DALL-E 3 eases creative vision with efficiency. As AI continues to evolve, its role in marketing offers innovative avenues for expression and innovation.

OpenAI intends to release DALL-E 3 in stages but hasn’t specified a date for the free public version. The updated DALL-E 3 will first be available to ChatGPT Plus and ChatGPT Enterprise users in October. Afterward, it will be rolled out to research labs and its API service in the autumn.

EY’s $1.4 Billion Investment Fuels EY.ai Platform: All You Need to Know

Posted on September 22, 2023 by Oriol Zertuche - AI tools, Artificial Intelligence, Business, Business Intelligence

EY.ai is a unifying platform that helps clients to confidently and responsibly embrace AI. This tool can lead to amazing transformations within their organizations, helping businesses succeed in the AI-driven future.

Generative AI for business makes firms rethink how to integrate it into their existing systems, tasks, and operations. However, adopting AI goes beyond the technology challenges. So, backed by a huge $1.4 billion investment, Ernst & Young (EY) has announced the launch of EY.ai, a groundbreaking AI platform.

According to the IBM Global AI Adoption Index:

42% of companies are exploring AI potential within their organizations.
35% of companies worldwide are already using AI for business operations.

Click here to download the full IBM report.

Let’s see how EY pushes artificial intelligence forward, focusing on innovation and responsible adoption.

What Exactly is EY.ai?

EY.ai is a unifying platform that helps clients to confidently and responsibly embrace AI. This tool can lead to amazing transformations within their organizations, helping businesses succeed in the AI-driven future. It harmoniously combines the intelligence of humans and the potential of AI.

Click here to watch a glimpse!

What’s the Use of EY’s Artificial Intelligence Platform?

EY.ai helps clients use AI across various fields for profound organizational transformations. It uses advanced EY technology and AI capabilities thanks to EY’s broad experience in various fields:

strategy
transactions
transformation
risk
assurance
tax

So, EY.ai is a blend of cutting-edge technology and deep expertise across many industries, offering innovative solutions and insights. With a vast AI knowledge base backing it, this blend gets things done more efficiently. But beyond that, it sparks innovation and ethically adopts AI across a wide range of industries.

And what does that mean for the clients?

They can confidently implement AI, knowing they’re positively impacting society. This way, EY.ai can open up exciting possibilities for the future of business. EY has smoothly integrated AI into its in-house technologies.

Their primary focus is EY Fabric, which combines business knowledge, advanced technology, and networks to speed up the delivery of solutions. It serves a vast client base of 60,000 with over 1.5 million unique users. Also, the strategic acquisitions have strengthened their expertise in cloud computing and automation technologies.

How is EY Empowering Professionals with AI Knowledge?

EY has been making sure its team is up to speed with AI in the following ways:

Launched a pilot involving 4,200 tech-focused team members
Extensive AI, data, and analytics learning badges introduced in 2018
EY Tech MBA program started in 2020
Rolling out EY.ai EYQ, a secure, large language model
Plans to launch customized AI learning programs for its employees

For these programs, EY has a clear goal: to boost and broaden the AI know-how of EY professionals, all while keeping a keen eye on responsible AI practices. This way, it is really emphasizing helping their employees become AI-savvy, which is pretty impressive.

“As important as it is to educate the new sets of generations coming in, I also think it’s important to educate the existing workforce, so they can understand how to have AI serve them and their roles.”

—Sarah Aerni, Director of Data Science,Salesforce

Delivering Excellence in Client Service

EY’s transformative solutions are designed to make client service delivery convenient and more efficient:

EY.ai has excellent insights and an AI knowledge base at its disposal.
It helps EY’s employees guide companies through transformative results.
EY’s alliance ecosystem connects clients with the latest tech and infrastructure.
EY Fabric integrated with AI can be accessed by EY teams and 1.5 million users worldwide.

Diverse AI Solutions and Research Initiatives

In March, EY partnered with Microsoft to roll out a pilot tool – the Intelligent Payroll Chatbot. This chatbot is designed to tackle tricky employee payroll questions. This way, it aims to make the employee experience smoother than ever. And the best part? It’s expected to cut the employer’s workload by more than half!

Moreover, EY recently introduced 20 new Assurance technology capabilities across its global organization. For this, it incorporated AI on a vast scale. These AI capabilities use publicly available and EY-generated data. This data is integrated directly into the EY Assurance technology platform to allow assessing risks.

But wait, there’s more! EY Assurance is also introducing new AI features for:

predictive analytics
content search
summarization
document intelligence
financial statement tie-out procedures

Isn’t it like a technological evolution for EY, making their services more competent and efficient?

On top of that, EY is in active talks about a research partnership with the University of Southern California’s School of Advanced Computing. USC’s impressive $1 billion Frontier of Computing initiative has led to this exciting collaboration.

“The playing field is poised to become a lot more competitive, and businesses that don’t deploy AI and data to help them innovate in everything they do will be at a disadvantage.”

—Paul Daugherty, Chief Technology and Innovation Officer, Accenture

Wrap Up and Wait!

Ernst & Young’s EY.ai could be a pathbreaking innovation in AI for business. With a massive $1.4 billion invested into this project, EY is bringing together human know-how and advanced AI to help clients adopt AI responsibly. It’s tapping into their extensive experience and partnering with tech giants.

EY is also committed to upskilling its professionals. Plus, it’s seeking collaborative research initiatives. This shows its dedication to ethical AI. This way, EY.ai represents EY’s vision of a world where human creativity and AI innovation work hand in hand to enable transformation and responsible AI use.

Stay tuned for its ‘Face of the Future’ campaign, launching this October. Meanwhile, check out our industry-wide AI employee for business!

Google AI’s Creative Guidance Tool for YouTube Ads: A Complete Guide

Posted on September 22, 2023 by Oriol Zertuche - AI tools, Artificial Intelligence, Marketing

Creative Guidance is an AI tool launched by Google for YouTube ad optimization. It evaluates content, provides best-practice feedback, and notifies if your Google video ad lacks crucial information or key elements.

Meet the newest innovation in Google Ads: Creative Guidance, an AI-powered ad tool. This innovation is a golden opportunity for advertisers to reach more customers, improve ads, and grow businesses.

Food for thought: 47% of marketers rely on AI for ad targeting! In fact, 32% already use AI for business alongside marketing automation for paid ads.

Even consumers are on board with AI in marketing. According to a recent Capgemini survey, their attitudes toward AI for business are changing rapidly, with 62% of them comfortable with generative AI.

With such huge potential, companies globally are quick to jump into the AI race, and Google isn’t far behind. Let’s delve deeper into Google’s Creative Guidance launch and how it could redefine advertising.

What is Creative Guidance by Google AI?

Creative Guidance is an AI tool launched by Google for YouTube ad optimization. It evaluates content, provides best-practice feedback, and notifies if your Google video ad lacks crucial information or key elements.

Built into Google Ads, it checks your videos and gives you tips on how to make them perform better based on Google’s best practices and requirements.

Google has been an innovator in integrating AI for business into popular products, including Responsive Display Ads. Using its AI knowledge base, these AI-powered search ads can determine the right bids and the best queries to target for better conversion rates.

For instance, you can try different headlines and descriptions with responsive search ads. From keyword strategy to valuable insights, you can leverage Creative Guidance for video action campaigns that facilitate:

Creative elements
Visual storytelling
Actionable insights
Video discovery ads
High-impact changes
Auto-generated videos
Optimum user experience
AI-powered quality voiceovers

Key Features of Google AI’s Creative Guidance Ad Tool

Get best-practice assessments for all your visual assets with the Creative Guidance AI tool in Google Ads. Its main feature is about getting notified whenever you miss out on a key, data-backed creative best practice.

The key features help identify the missing creative attributes in your Google ads video, such as:

1. Brand Logo

Ensure a prominent brand logo appears within the first 5 seconds.

2. Video Duration

Stick to the ideal video length based on marketing and business goals.

3. Voiceover

Utilize a high-quality, human voiceover according to your advertising goal.

4. Aspect Ratio

Include horizontal (16:9), vertical (9:16), and square (1:1) video orientations in your ad group.

You can also get great voiceovers in 15 languages right from the asset library and even inside the video creation tool.

These suggestions are in the “Ideas to Try” section of Video Analytics below the retention curves or in the Recommendations tab.

Source

Soon, they will be available in Ads Creative Studio! Google plans to expand this feature gradually, incorporating additional elements.

How Does Creative Guidance Work in Google Ads?

Refer to the below snapshot for using Creative Guidance in Google Ads for your video advertisements:

What Can Creative Guidance Do for Smart Campaigns?

Using Creative Guidance in Google Ads, advertisers can take charge of their creative assets by tuning them across various viewing experiences for any YouTube campaign type.

Here’s why it matters for your Google video ad performance:

1. Effortless Assessment

Are you worried about missing crucial suggestions besides the standard ABCD best practice guide? With Creative Guidance, you can swiftly identify if your video ad misses any of the top creative best practices. It gives you a clear understanding of what parts you need to make better to improve your video ad’s performance. So, you can be confident that your ad is set for success.

2. Tailored Recommendations

You’ll receive personalized video ad optimization recommendations tailor-made for your specific needs. You can use these tips quickly, making it simpler than ever to improve and get the most out of your video ad.

3. AI-Powered Precision

With Creative Guidance’s AI capabilities, you can track your ad performance and make it work better in real time. Google’s AI accurately helps you get more sales and value from your budget.

4. Consumer-Centric Insights

You can use AI to blend and leverage your knowledge and Google’s insight about what customers like. This helps you stay ahead of changing trends and find your customers where they are, whether on popular channels like YouTube or through targeted searches. Creative Guidance makes sure you keep up with what your audience likes.

Creative Guidance helps you use data to make smart decisions that get the best outcomes for your video ad campaigns. It’s not just creativity; it’s being creative with data-backed precision.

The Future of Google AI’s Creative Guidance Tool

While it’s true that AI tools like Creative Guidance are rooted in existing content and may lack the ability to generate unique and stand-out creative pieces, there’s room for hope and improvement.

“As technology continues to advance, we envision AI becoming an essential creative partner for marketers, aiding in conceptualization, execution, and analysis. We look forward to building this new future with you.”

Nicky Rettke, the Vice President (Product Management) at YouTube Ads, in her blog on ‘How AI is reshaping the future of YouTube advertising.‘

These tools won’t replace the advertiser’s human creativity, but they’ve got even better at helping them. They can still expand their AI knowledge base and develop exciting ideas, which can help an advertiser make their own ideas even better.

While having AI think creatively all on its own might be far off, some fascinating things can happen when AI and human creativity team up. For now, know that your creative ideas are still unique and essential, and these helpful tools are becoming increasingly useful in enhancing your creativity.

Artificially Intelligent, Naturally Successful, with Cody AI

AI-powered marketing has just begun, with consumers and marketers favoring AI for business and improving their interactions with brands.

While a new Google Ads user experience will be out in 2024, check out our industry-wide AI employee for business!

OpenAI GPT-3.5 Turbo & GPT 4 Fine Tuning

Posted on September 20, 2023 by Oriol Zertuche - Artificial Intelligence

OpenAI has ushered in a new era for AI developers, unveiling an enhanced GPT-3.5 Turbo model. This isn’t just any release; developers now have the latitude to tailor the model, optimizing it to resonate more with their unique applications. Intriguingly, OpenAI posits that when fine-tuned, GPT-3.5 Turbo can potentially eclipse the prowess of the foundational GPT-4 in specialized tasks.

This customization drives home several advantages:

Coherent Instructions: Developers can mold the model to adhere to specific guidelines, ensuring it remains in sync with the language tone set by the initial prompt.
Consistent Responses: Whether it’s auto-completing code or scripting API calls, the model can be guided to yield more consistent outcomes.
Tonal Refinement: A brand’s voice can be distinctive. The model can be tweaked to mirror this voice, ensuring alignment with brand identity.

One of the standout features of this fine-tuning capability is efficiency. Early adopters have spotlighted a whopping 90% reduction in prompt size post fine-tuning without compromising on the model’s performance. This not only accelerates API calls but also proves to be cost-effective.

Delving into the mechanics, fine-tuning is a multifaceted process. It involves preparing a training dataset, sculpting the fine-tuned model, and deploying it. The linchpin here is the dataset preparation, encompassing tasks like prompt creation, showcasing a plethora of well-structured demonstrations, training the model on these demonstrations, and subsequently testing its mettle.

However, OpenAI strikes a note of caution. While the allure of fine-tuning is undeniable, it shouldn’t be the inaugural step in elevating a model’s performance. It’s an intricate endeavor demanding substantial time and expertise. Before embarking on the fine-tuning journey, developers should first acquaint themselves with techniques such as prompt engineering, prompt chaining, and function calling. These strategies, coupled with other best practices, often serve as the preliminary steps in model enhancement.

Anticipation Builds for GPT-4 Fine-Tuning

Building on the momentum of their GPT-3.5 Turbo fine-tuning announcement, OpenAI has teased the developer community with another revelation: the imminent arrival of fine-tuning capabilities for the much-anticipated GPT-4 model, slated for release this fall. This has certainly ratcheted up the excitement levels, with many eager to harness the enhanced capabilities of GPT-4.

Easily Fine-Tuning Becomes Easier

In the latest update, OpenAI has launched its fine-tuning user interface. Developers can now visually track their fine-tuning activities. And, there’s more on the horizon; the ability to craft fine-tunes directly through this UI will be unfurled in the coming months.

Open AI Fine Tunning GPT3.5 Source: @OfficialLoganK

Furthermore, OpenAI is all about empowering its users. They’ve escalated the concurrent training limit from a solitary model to three, allowing developers to fine-tune multiple models concurrently, maximizing efficiency.

With these advancements, OpenAI continues to fortify its position at the forefront of AI innovation, consistently offering tools that not only redefine the present but also pave the way for the future.