🤖 The Latest Developments in AI: GPT-4, Autogen, and Mistral
Artificial intelligence (AI) is constantly evolving, and this week has seen some significant developments that are big from any perspective. From GPT Vision to Meta bringing language models to billions of people, there's a lot to cover. In this article, we'll explore some of the latest developments in AI, including GPT-4, Autogen, and Mistral.
🤖 GPT-4 Vision: A New Use Case
One use case for GPT-4 Vision that I didn't see coming is the ability to recreate user interfaces online. Scarano demonstrated on X that you can ask GPT-4 to imitate the layout of a user interface and give you the HTML code. But that's not all. GPT-4 with Vision can iterate on its designs because it can see its own output. It can recognize flaws and improve on them. This is a significant development that takes us beyond text feedback and into a visual feedback loop.
🤖 Autogen: A More Sophisticated Auto GPT
Autogen is the new Auto GPT, and it's poised to fundamentally transform and extend what large language models are capable of. It does this through multi-agent conversations, joint chats, and agent customization. Autogen allows the easy creation of sub-agents to achieve a goal. One of the agents or models could be an engineer writing code, another one an executor executing code, or a product manager coming up with the implementation plan. Autogen can use tools and execute code, and all these agents are essentially in a group chat working together, chipping in when necessary or when called for by a planner.
🤖 Mistral: Outperforming Llama 2
Mistral is a new 7 billion parameter model potentially replacing OpenAI models at Microsoft. Apparently, it outperforms Llama 2 13 billion parameters on all benchmarks. Based on my limited tests with perplexity chat, I can roughly believe that that is the performance level. Mistral admits that there are no moderation mechanisms, and I tried pretty much any example you can think of, and it always helped out for pretty much obvious reasons. But does this constitute a race to the bottom in which the company that spends the least amount of money on protections wins out?
🤖 The Altman Phone: The iPhone of Artificial Intelligence
Johnny Ive of Apple fame, together with Sam Altman of OpenAI fame, are coming up with the iPhone of artificial intelligence fueled by over one billion dollars in funding from the SoftBank CEO. It would be OpenAI's first consumer device, and we might even have a few clues about what would distinguish it. Johnny Ive has previously said that Apple had a moral responsibility to mitigate the addictive nature of its technology. According to the Financial Times, the project with OpenAI could allow Ive to create an interactive computing device that's less reliant on screens.
🤖 Autogen from Microsoft: A More Sophisticated Auto GPT
Autogen is the new Auto GPT, and it's poised to fundamentally transform and extend what large language models are capable of. It does this through multi-agent conversations, joint chats, and agent customization. Autogen allows the easy creation of sub-agents to achieve a goal. One of the agents or models could be an engineer writing code, another one an executor executing code, or a product manager coming up with the implementation plan. Autogen can use tools and execute code, and all these agents are essentially in a group chat working together, chipping in when necessary or when called for by a planner.
🤖 The Latest Developments in AI: GPT-4, Autogen, and Mistral
In conclusion, AI is constantly evolving, and these latest developments in GPT-4, Autogen, and Mistral are just the tip of the iceberg. As AI continues to advance, we can expect to see even more exciting developments in the future.
Pros and Cons
Pros:
- GPT-4 Vision can recreate user interfaces online and iterate on its designs.
- Autogen allows the easy creation of sub-agents to achieve a goal.
- Mistral outperforms Llama 2 on all benchmarks.
Cons:
- Mistral admits that there are no moderation mechanisms.
- Autogen may lead to a race to the bottom in which the company that spends the least amount of money on protections wins out.
🤖 FAQ
Q: What is GPT-4 Vision?
A: GPT-4 Vision is a new use case for GPT-4 that allows it to recreate user interfaces online and iterate on its designs.
Q: What is Autogen?
A: Autogen is a more sophisticated Auto GPT that allows the easy creation of sub-agents to achieve a goal.
Q: What is Mistral?
A: Mistral is a new 7 billion parameter model potentially replacing OpenAI models at Microsoft.
Q: What is the Altman Phone?
A: The Altman Phone is the iPhone of artificial intelligence fueled by over one billion dollars in funding from the SoftBank CEO.
Q: What are the pros and cons of these latest developments in AI?
A: Pros include GPT-4 Vision's ability to recreate user interfaces online and iterate on its designs, Autogen's ability to create sub-agents to achieve a goal, and Mistral's outperformance of Llama 2 on all benchmarks. Cons include Mistral's lack of moderation mechanisms and Autogen's potential to lead to a race to the bottom.
