E
ChatBot cancel
smart_toy

Hello, I'm VAI. Are you new to Vease?

Example Image ChatBot cancel
Hello, I'm VAI. Are you new to Vease?

ChatGPT

OpenAI lessons for startups

What Startups Can Learn from The OpenAI SAGA

Leave a Comment /
The OpenAI Journey: From Open Source Idealism to Profit-Driven Realism

Hey everyone! Let’s talk OpenAI. It’s a wild story of transformation, perfect for startups to learn from. OpenAI began with a noble idea: being open source and non-profit, aiming to balance out giants like Google. But hold on, they’ve been operating more like a for-profit, closed-source entity. Kinda makes you wonder, right?

The Nonprofit-to-Profit Switch and Microsoft’s Influence

Here’s where it gets juicier: OpenAI’s nonprofit arm used to have the power, even could fire the CEO! But as they’ve moved towards profit, their alliance with Microsoft has raised some eyebrows. It’s like the band that used to play in garages is now headlining festivals with big sponsors. This leaves us asking, “Who’s really in charge now?”

The Startup Takeaway: Flexibility and Transparency

For startups, there’s a lot to chew on here. First, the balance between making money and sticking to your vision. It’s a tightrope walk, and OpenAI’s path is a live example. Startups, take note: you need to be clear about who makes decisions and how. Plus, be ready to adapt. The tech world’s always changing, and so should you.

Conflict and Clarity

OpenAI shows that different sides often want different things. For startups, it means being ready for disagreements. Have a plan for those tough conversations (Ray Dalio’s Principles comes to mind). And don’t forget about transparency. Being upfront about what’s happening in your company builds trust. Everyone, from your team to your customers, should feel in the loop.

Wrapping It Up

So, what’s the big lesson from OpenAI’s evolution? For startups, it’s about staying true to your goals while being flexible and transparent. As you grow, remember to align your structure with your evolving vision. And keep an eye on the big players like Microsoft – their influence can change the game.

Anthropic's Claude 2.1

Claude 2.1: Anthropic’s Answer to GPT’s Dominance in AI

Leave a Comment /

Today, we’re diving into some exciting news from the world of AI. Anthropic has just rolled out Claude 2.1, an upgraded version of its large language model. It’s clear they’re not just playing catch-up with OpenAI’s GPT series; they’re aiming to set a new standard. Let’s break down what’s new and cool about Claude 2.1.

Bigger Context Window: A Game Changer?

First up, let’s talk size – but in the context window sense. Claude 2.1 boasts a whopping 200,000-token context window. In layman’s terms? It can remember and reference much more of a conversation than before. This is a big leap over OpenAI’s GPT, which has a 128,000-token window. More context means Claude can follow longer conversations more accurately. Imagine chatting with a friend who remembers not just your last few sentences, but the entire conversation – that’s a big deal!

Stepping Up Accuracy

Accuracy in AI is a constant battle. With Claude 2.1, Anthropic claims to have made significant strides. The model is designed to be more precise, reducing the chances of giving you wrong info. Think of it as having a smarter, more reliable buddy to ask questions. Less misinformation means more trust, and that’s crucial in the AI world.

Source
Extensibility: The Secret Sauce?

Now, this is where it gets really interesting. Claude 2.1 isn’t just a standalone smarty-pants. It can reach out to other models or databases for better answers. Even cooler? It can perform web searches when needed. It’s like having an AI that’s not just book-smart but also street-smart, knowing where to find the best answers.

What Does This Mean for the AI Landscape?

With these upgrades, Anthropic is clearly throwing down the gauntlet in the AI race. A smarter, more adaptable, and context-aware model like Claude 2.1 could change how we interact with AI daily. It’s not just about answering questions; it’s about having meaningful, accurate, and extended conversations.

So, there you have it. Claude 2.1 is here, and it’s packing some serious heat in the AI arena. Will it outshine its competitors? Only time will tell. But one thing’s for sure – the AI world just got a lot more interesting!

The OpenAI Chronicles: From Altman's Exit to a New Beginning at Microsoft

The OpenAI Chronicles: From Altman’s Exit to a New Beginning at Microsoft?

Leave a Comment /
Unraveling the Timeline of OpenAI’s Leadership Shake-Up

The tech world has been abuzz with the dramatic shifts at OpenAI, culminating in Sam Altman and colleagues might be moving to Microsoft. Let’s break down this whirlwind of events that reshaped an AI titan.

November 16: The Call That Started It All

Our story begins on November 16, with a scheduled call to Altman. Little did anyone know, this call would trigger a series of seismic shifts in OpenAI’s leadership.

The Firing and Immediate Aftermath

Following the call, Altman was abruptly fired. This decision didn’t just send shockwaves through OpenAI but also led to the resignation of Greg Brockman and three senior researchers, signaling a deep rift within the organization.

Internal Turmoil and Funding Discussions

In the wake of these exits, OpenAI was rife with internal memos and heated discussions. Central to these talks were the company’s funding strategies and its future direction – a future now marred by uncertainty and leadership voids.

The Potential Comeback

Amidst this chaos, there emerged talks of Altman and Brockman potentially returning to OpenAI’s board. A move many saw as a step towards stabilizing the roiling waters.

The Pivot to Microsoft

Ultimately, this saga took a surprising turn. Altman, alongside Brockman and their team, announced a move to Microsoft to spearhead a new AI research initiative. This decision marks a new chapter not just for them but for the AI industry’s landscape.

OpenAI to Microsoft: A Leadership Exodus

What started as a routine call led to a leadership exodus and culminated in a strategic realignment with Microsoft. This series of events underscores the volatile nature of the tech world, where today’s decisions shape tomorrow’s innovations.

OpenAI leadership changes

The OpenAI Saga Continues

Leave a Comment /

Satya Nadella Weighs in on Sam Altman’s Future with OpenAI

In the fast-evolving AI landscape, a high-stakes drama is unfolding at OpenAI. The latest twist? Microsoft CEO Satya Nadella’s intriguing suggestion about Sam Altman possibly returning to OpenAI. But there’s more – Altman’s announced move to Microsoft’s new AI research team, alongside former OpenAI president Greg Brockman, adds complexity to this corporate chess game.

OpenAI’s Tumultuous Times: Employees Call for Change

The backdrop to this development is OpenAI’s internal turmoil. Since Altman’s abrupt departure, over 700 of the company’s 770 employees have demanded a reshuffle at the top, signing a letter urging the board to step down and reinstate Altman. Amidst this, Salesforce is seizing the moment, eyeing OpenAI’s talent for its own AI research wing.

Microsoft’s Role and the Governance Question

Nadella’s remarks aren’t just about personnel moves. He’s pushing for “something to change around the governance” at OpenAI, hinting at investor relations modifications. As Microsoft and OpenAI’s ties deepen, these governance aspects will be pivotal. What does this mean for OpenAI’s future and its relationship with Microsoft? It’s a complex equation involving high-profile AI leaders, corporate strategies, and a restless workforce. Stay tuned as we unravel the implications of these developments in AI’s corporate landscape.

GPT-5: Artificial General Intelligence

GPT-5: OpenAI’s Leap Towards Artificial General Intelligence

Leave a Comment /

OpenAI’s Ambitious Path to GPT-5

OpenAI, already a trailblazer in AI technology, is setting its sights higher with the development of ChatGPT-5. Pegged as a potential harbinger of superintelligence, GPT-5 stands at the frontier of Artificial General Intelligence (AGI). But such a leap requires not just vision but significant resources.

The Role of Microsoft in OpenAI’s Journey

Microsoft, a long-time ally, is key to this ambitious project. Having already funneled over $10 billion into OpenAI, their continued investment is crucial. This partnership underscores a shared commitment to pioneering in the AI space, where the stakes and costs are incredibly high.

The GPT-5 Challenge: A Colossal Undertaking

Building a behemoth like GPT-5 is no small feat. Think billions of dollars, vast computational resources, and an exhaustive trove of data for training—ranging from billions to trillions of pages. The scale is staggering, but so are the potential rewards.

Surpassing Human Capabilities

GPT-5 isn’t just about expanding knowledge databases. It’s about leaping into realms where AI can match, and possibly surpass, human reasoning and complex idea processing. This isn’t just an upgrade; it’s a paradigm shift towards AGI, where machines think and understand like us.

The Road Ahead: Long and Complex

The journey to GPT-5 and AGI is filled with challenges. The model’s training will be a marathon, taking months, maybe years, and its public debut is still a distant milestone. The process involves not only harnessing vast public data but also acquiring proprietary datasets, all while ensuring rigorous fine-tuning and safety testing.

In Conclusion

GPT-5 represents a bold step into the future of AI, one that could redefine our understanding of intelligence itself. With OpenAI at the helm and Microsoft’s backing, the realms of AGI seem closer than ever. But the path is long, and the pursuit, relentless.

Last Week in AI

Last Week in AI

Leave a Comment /

We’re exploring everything from OpenAI’s leadership changes to Microsoft’s cutting-edge AI moves. Get the scoop on Sam Altman’s OpenAI comeback, GPT-5’s progress, and Microsoft’s tech leaps. Join us for a journey into AI’s exciting future.

OpenAI

Sam Altman’s Possible Return to OpenAI

The possibility of Sam Altman, the former CEO, making a comeback is being considered. However, this return is not simple, as Altman is advocating for significant changes in the company’s governance, suggesting a thorough reassessment of its decision-making framework.

  • Leadership Impact: Altman’s previous tenure saw OpenAI’s substantial growth and innovation. His leadership, combining technical expertise and a forward-looking mindset, has been instrumental in OpenAI’s success.
  • Internal Dynamics: Altman’s conditions for return suggest internal tensions within OpenAI, especially in light of recent high-profile departures.
  • Strategic Implications: Altman’s return could mean a significant shift in OpenAI’s direction, focusing more on innovation and governance.

Sam Altman’s potential reappointment is more than a leadership change; it’s about charting OpenAI’s future in a rapidly evolving AI field. The decisions now will have long-lasting impacts in the AI community.

OpenAI’s Leap to GPT-5: Toward Artificial General Intelligence

OpenAI is advancing AI development with its new project, GPT-5. This ambitious effort aims to push closer to Artificial General Intelligence (AGI), a level where AI can perform tasks across a range of disciplines as efficiently as, or better than, human experts.

  • Microsoft’s Role: Their investment and partnership are crucial in fueling OpenAI’s vision, highlighting the significant resources needed for such a monumental project.
  • The GPT-5 Challenge: Building GPT-5 involves massive financial investment, extensive computational resources, and a vast data pool for training, indicating a project of unprecedented scale.
  • Potential Outcomes: GPT-5 aims to surpass current AI capabilities, potentially matching or exceeding human reasoning and complex idea processing, marking a significant shift towards AGI.

GPT-5 is a bold endeavor that might redefine our understanding of intelligence, bringing the concept of AGI closer to reality. While OpenAI leads this charge with Microsoft’s support, the journey is long and filled with challenges.

Microsoft

Microsoft’s AI Chip and Cloud Computing Advances at Ignite Conference

Microsoft revealed significant advancements in AI and cloud computing at its Ignite conference, including the launch of its first AI chip, Maia 100, and its in-house microprocessor, Azure Cobalt 100.

  • Maia 100 Chip: A custom cloud computing chip, optimized for generative AI tasks, notable for its 105 billion transistors and advanced 5-nanometer process technology.
  • Azure Cobalt 100: Microsoft’s first self-built microprocessor for cloud computing, boasting 128 computing cores and a 40% reduction in power consumption compared to similar ARM-based chips.
  • High Performance: These chips support 200 gigabit-per-second networking and can deliver 12.5 gigabytes per second of data throughput.
  • Entering Custom Silicon Arena: Microsoft joins Google and Amazon in offering custom silicon for cloud and AI, marking a significant step in cloud computing technology.
  • Partnerships and Expansions: Collaboration with Nvidia and AMD to incorporate advanced GPU chips into Azure and launching Copilot for Azure as an AI tool for system administrators.
  • Exclusive OpenAI Collaboration: Microsoft’s investment in OpenAI and exclusive rights to programs like ChatGPT and GPT-4 showcase their commitment to leading-edge AI development.
  • Oracle Partnership: Microsoft’s unique offering of Oracle database programs on Oracle hardware in Azure, enhancing its cloud service capabilities.

These innovations position Microsoft as a formidable player in AI and cloud computing, reflecting its commitment to advancing technology and maintaining competitiveness in the rapidly evolving tech landscape.

Microsoft’s Bing Chat Becomes Copilot

Microsoft has rebranded Bing Chat as Copilot, marking a significant step in its strategy to compete in the AI-driven search and assistance market, particularly against ChatGPT.

  • New Branding: Copilot replaces Bing Chat, integrating into Bing, Microsoft Edge, and Windows 11, signaling a shift towards a more unified and accessible AI interface.
  • Consumer and Business Focus: Copilot is available for both consumers (free version) and businesses (paid Copilot for Microsoft 365), catering to a wide range of users.
  • Access and Identity: Business users will use an Entra ID for access, while consumers will use a Microsoft Account, streamlining the login process.
  • Market Challenge: Despite these advancements, Google maintains a dominant market share, presenting a formidable challenge for Microsoft’s AI ambitions.

Microsoft’s move to rebrand Bing Chat as Copilot represents a strategic effort to solidify its presence in the AI space, offering enhanced accessibility and integration across its products. This reflects the company’s ongoing efforts to innovate and compete in the rapidly evolving AI landscape.

NVIDIA

NVIDIA’s latest reveal is the NVIDIA HGX™ H200, a powerhouse based on their Hopper™ architecture. It’s a big deal because it’s designed for heavy-duty tasks like generative AI and high-performance computing. Here’s the rundown:

  1. Advanced Memory Tech: The H200 is the first to use HBM3e memory. This means it can handle huge data sets way faster, perfect for AI and scientific computing.
  2. Versatile and Powerful: You’ll see it in different setups, both in four- and eight-way server boards. It’s also compatible with older HGX H100 systems, which is great for upgrading.
  3. Availability: It’s hitting the market in the second quarter of 2024. Big system manufacturers and cloud providers will have it, so it’s not just a niche product.

In a nutshell, the H200 is a big leap forward, especially for tasks that need a lot of memory and speed. It’s like giving steroids to computers dealing with complex AI and science problems!

Google

DeepMind’s Lyria

Google DeepMind has launched Lyria, a groundbreaking AI music model. Lyria stands out in its ability to create rich music, blending instrumentals and vocals with impressive finesse. It’s designed for tasks like transforming and continuing existing music, while giving users detailed control over style and performance.

  1. Dream Track Experiment: This feature lets select creators blend AI-generated voices and styles of famous artists like Alec Benjamin and Charli XCX, producing unique soundtracks.
  2. Versatile Music Creation Tools: Beyond just generating songs, DeepMind’s AI can now craft new music, switch styles or instruments, and even add instrumental or vocal accompaniments.
  3. Responsible Innovation: With SynthID, DeepMind is addressing the ethical side, ensuring synthetic content is identifiable. They’re collaborating with artists and the music industry to develop these technologies responsibly.

Lyria opens up new possibilities for artists and producers, allowing for more experimentation and creativity in music production. It’s a glimpse into how AI can reshape the music industry, making music creation more accessible and diverse, while also being mindful of ethical implications.

YouTube Premium

YouTube Premium’s latest features are all about enhancing the user experience. Here’s the scoop:

  1. Multi-Device Queueing: Now, you can queue videos on your phone or tablet, making it easier to line up what you want to watch next.
  2. Watch Together with Meet Live Sharing: This cool feature lets you watch YouTube with friends during a Google Meet call.
  3. High-Quality Streaming: There’s an upgraded 1080p streaming for iOS users, offering clearer, sharper videos.

But that’s not all. Premium members get early access to AI experiments and new promotions, ensuring a more personalized experience. Plus, you can seamlessly switch between devices without losing your place in a video. And for those over 18, there are new achievement badges, adding a bit of fun and recognition to your YouTube journey. All these updates are aimed at giving Premium users a smoother, more enjoyable, and interactive viewing experience.

Meta

Emu Vide

The Emu Video method is a game-changer in the world of text-to-video generation. Here’s why it stands out:

  1. Simplified Process: It breaks down video generation into just two steps, using only two diffusion models. This makes it more efficient than older methods that needed a bunch of models.
  2. High-Quality Output: Emu Video creates videos that are 512 pixels, 4 seconds long, at 16 frames per second. That’s pretty detailed and smooth for AI-generated content.
  3. Beats the Competition: When put head-to-head with other top-notch text-to-video models like Make-a-Video and Imagen-Video, Emu Video comes out on top in both quality and performance metrics.

In short, Emu Video’s approach not only simplifies the video creation process but also delivers high-quality results, making it a significant advancement in AI-driven video generation.

AI is rapidly evolving with big moves like Sam Altman’s potential return to OpenAI, Microsoft’s Bing Chat becoming Copilot, and NVIDIA’s new HGX™ H200. Innovations like Google DeepMind’s Lyria and Meta’s Emu Video are transforming AI in music and video. These advancements are shaping AI’s role in our lives and industries, with more exciting updates to come.

If you missed last weeks update, you can check it out here. Cheers!

OpenAI's Leadership Shakeup: Sam Altman Fired

OpenAI’s Leadership Shakeup: Sam Altman Fired

Leave a Comment /

Big news in the AI world: Sam Altman, CEO of OpenAI, the brains behind ChatGPT, DALL-E 3, and GPT-4, is fired (for now). After a thorough review by OpenAI’s board, they’ve decided it’s time for a change. The reason? Communication issues. It turns out, Altman wasn’t as straightforward as the board would’ve liked, making it tough for them to do their job.

This change is a bit of a shocker. Altman’s been a big player in OpenAI’s journey, even shaping how regulators see AI. But now, the search is on for a new CEO. In the meantime, Mira Murati, an OpenAI insider, steps up as interim CEO.

Murati’s got her work cut out for her, leading OpenAI through this unexpected transition. It’s a critical time for the company, especially with all the buzz around AI and its impact. How she steers this ship will be something to watch.

OpenAI's New Assistants API for developers.

OpenAI’s New Assistants API: A Big Win for Developers

Leave a Comment /

Hey there, Toronto’s tech enthusiasts and small business owners! Get ready to dive into the latest buzz from OpenAI’s Dev Day – the introduction of a new Assistants API. This cutting-edge tool is about to revolutionize the way we interact with AI, especially for chatbot development. Let’s unwrap this tech gift and see how it benefits your businesses in the GTA.

1. Threads: Simplifying Long Conversations

  • Problem Solved: Remember the hassle of managing lengthy chatbot conversations? Those days are over!
  • What It Does: This feature keeps track of past messages in a conversation. It’s like giving your chatbot a memory boost, making interactions smoother and more coherent.
  • Business Impact: For businesses in Toronto, this means customer service chatbots can handle complex queries with ease, improving customer experience.

2. Retrieval: Smarter Information Management

  • A Bit Mysterious: We’re still piecing together the full capabilities of this feature. However, it likely involves advanced ways to store and retrieve text for AI use.
  • Speculation: It could link to a vector database, making data retrieval a breeze for AI.
  • Why It Matters: Imagine having an AI that can quickly access and use vast amounts of information – a game-changer for data-heavy sectors.

3. Built-in Code Interpretation: Bridging Language and Code

  • Tech Magic: Think of this as having a bilingual assistant who speaks both human language and Python code.
  • ChatGPT’s Cousin: Similar to ChatGPT’s Advanced Data Analysis tool, this feature can interpret and execute code from natural language prompts.
  • Practical Use: This could revolutionize how small businesses in Toronto automate and streamline their operations.

4. Improved Function Calling: Seamless Software Interactions

  • Tech Talk: It turns complex instructions into simple JSON strings representing function calls.
  • Real-World Application: Imagine telling your AI to perform a task, and it automatically translates that into a command for other software. Efficiency at its best!

Wrapping It Up: The Big Picture

OpenAI’s Assistants API is not just another tech update; it’s a doorway to making AI more user-friendly and accessible. For the small business community in Toronto, this means:

  • Easier Integration: Less technical know-how needed to bring AI into your business.
  • Enhanced Customer Experience: Smoother interactions with AI-driven services.
  • Operational Efficiency: More automation, less manual intervention.

Discover More with Vease

Curious about integrating AI into your business? Check out our blog for innovative Vease AI solutions tailored for your needs. Contact us to have AI chatbots custom-built for your business, each expertly trained on your company data, for FREE!

Yes, ChatGPT is amazing, but...Grok

Yes, ChatGPT is Amazing, But…

Leave a Comment /

We’ve all been buzzing about ChatGPT, right? Incredible stuff, truly. But hold up, let’s shift gears. I’m not one to gamble, but if I were, my chips would be on xAI’s Grok. Betting against Elon? History tells us that’s not the wisest move.

Enter Grok: The Witty Newcomer

Here’s the scoop on Grok. It’s fresh, having been in development for just two months, yet it’s making waves. And guess what? Grok has something most AIs lack – a sense of humor. That’s right, an AI that can crack a joke.

Grok vs. ChatGPT: The Time Factor

Now, consider this: ChatGPT has been under the knife for years, honing its skills. Grok? Just a couple of months on the scene and already showing promise. That’s pretty impressive if you ask me.

The Elon Musk Connection

Let’s not forget the Elon factor. The man who founded OpenAI and injected a cool $100 million of his own dough into it, all with a vision for an open-source, not-for-profit AI. His track record? Nothing short of revolutionary.

Grok’s Potential

So, what’s the big deal with Grok? We’re talking about an AI that gets the nuances of human chit-chat and throws in a bit of humor. That’s not just smart; it’s next-level engagement. Not to mention, Grok uses info from X (formerly Twitter), so it’s more in tune with the latest trends than other bots relying on outdated data.

Why Grok Matters

In the AI world, Grok stands out as a potential game-changer. It’s not just about making tasks easier; it’s about adding a layer of human touch to our digital interactions. An AI that doesn’t just understand you but can also give you a good laugh.

The Future with Grok

Grok’s future? Bright, undoubtedly. We’re looking at a more intuitive, empathetic, and yes, humorous AI experience. It’s not just about answering your queries; it’s about adding a bit of joy to your day.

Wrapping It Up

To wrap this up, sure, ChatGPT is a marvel, but Grok – it’s something else. It’s a fresh take on AI, promising a blend of intelligence and humor. And when it comes to betting on AI’s future, Grok is where I’d place my bet, especially with Elon Musk in the equation.

Catch you on the next one. Keep an eye on the AI horizon, where Grok might just be the next big star!

Latest Ai News - A happy copilot

Last Week in AI

Leave a Comment /

A lot happened in the world of AI last week, so let’s jump right in and explore the latest breakthroughs and innovations.

1. Samsung’s Generative AI: Samsung Gauss

  • What: A new generative AI family, featuring models for language processing, code generation, and image editing.
  • Features:
    • Language Model: Similar to ChatGPT, adept at understanding and generating human-like text.
    • Code-Generating Model: Automates and streamlines coding processes.
    • Image Generation and Editing Model: Creates and modifies visual content.
  • Availability: Currently in internal use, set for public release soon.

2. Microsoft’s AI Support for Startups

  • What: Free Azure AI infrastructure for startups.
  • Benefits:
    • No-Cost Access: High-end Nvidia GPU virtual machine clusters available at no cost.
    • Enhanced AI Training: Ideal for training and operating generative models.
    • Scalability: Supports the growth and development of startup projects.

3. YouTube’s AI Features

  • What: New generative AI features for premium subscribers.
  • Features:
    • Conversational Tool: Provides AI-based answers and recommendations.
    • Comment Summarization: Summarizes and highlights key points in video comments.

4. DeepMind’s Robotics Ambitions

  • What: Insights from Vincent Vanhoucke, head of robotics at Google DeepMind.
  • Focus Areas:
    • General-Purpose Robots: Envisioning versatile, multi-functional robotic solutions.
    • Generative AI Integration: Enhancing robot capabilities with advanced AI technology.

5. Kai-Fu Lee’s AI Model: 01.AI

  • What: The unveiling of the Yi-34B model by Kai-Fu Lee’s AI startup.
  • Highlights:
    • Open Source: Accessible and modifiable by the developer community.
    • Innovative Design: Developed within seven months of the startup’s founding.

6. GitHub’s Customizable Copilot Plan

  • What: A new enterprise subscription tier for Copilot.
  • Customization:
    • Codebase-Specific Tailoring: Adapts to the unique coding practices of different companies.
    • Enhanced Programming Support: Assists in code generation and problem-solving.

7. Hugging Face’s Two-Person Model Team: H4

  • What: A small, efficient team developing advanced AI tools.
  • Key Offerings:
    • Data Science Hosting: Provides hosting services for AI and machine learning projects.
    • Development Tools: Offers a suite of tools for AI development and application.

8. Mozilla’s AI Chatbot: Fakespot Chat

  • What: An AI-powered shopping assistant developed by Mozilla.
  • Capabilities:
    • Product Query Assistance: Answers questions about online products.
    • Shopping Suggestions: Offers recommendations based on user queries and preferences.

9. ChatGPT Custom GPTs

  • “ChatGPT custom GPTs is a significant advancement that deserves its own detailed section. For an in-depth look at this exciting development, check it out here.

That wraps up our update. If you didn’t catch the previous ‘Last Week in AI,’ you can find it here. See you next week, and in the meantime, keep engaging, stay curious, and enjoy the journey through the ever-evolving world of AI.