What happened this week in AI by Louie AI agents were in the spotlight in the AI and LLM community this week because of projects like Auto-GPT. The concept is that language models such as GPT-4 can “self-prompt” or “auto-prompt” — that is, they can generate and execute their own prompts based on initial input. Through this approach, multiple instances of these models can be assigned different roles and work collaboratively towards achieving a common goal, such as executing a series of tasks, reviewing and fixing mistakes, and even developing and debugging their own code. While current AI Agent projects are still in the early stages and require further refinement, we see tremendous potential for AI Agents. Furthermore, by granting language models access to other tools, such as web search engines, mathematical engines, and information retrieval systems, we believe that many new and emergent capabilities can be unlocked.
This AI newsletter is all you need #42
This AI newsletter is all you need #42
What happened this week in AI by Louie AI agents were in the spotlight in the AI and LLM community this week because of projects like Auto-GPT. The concept is that language models such as GPT-4 can “self-prompt” or “auto-prompt” — that is, they can generate and execute their own prompts based on initial input. Through this approach, multiple instances of these models can be assigned different roles and work collaboratively towards achieving a common goal, such as executing a series of tasks, reviewing and fixing mistakes, and even developing and debugging their own code. While current AI Agent projects are still in the early stages and require further refinement, we see tremendous potential for AI Agents. Furthermore, by granting language models access to other tools, such as web search engines, mathematical engines, and information retrieval systems, we believe that many new and emergent capabilities can be unlocked.