added by Darren LI and · updated 1y ago
LLM Powered Autonomous Agents
- An LLM’s abilities are amplified when combined using emerging agent frameworks like BabyAGI, AutoGPT and ChatArena. These frameworks break down workflows into a series of discrete roles each handled by AI agents, which are given a defined objective and work together to automate a complex task.
Initially, this will take the form of human-AI collabora... See morefrom LLM agents: the next platform shift in B2B software by Chris Rainville
Nicolay Gerold added
- AutoGen's design offers multiple advantages: a) it gracefully navigates the strong but imperfect generation and reasoning abilities of these LLMs; b) it leverages human understanding and intelligence, while providing valuable automation through conversations between agents; c) it simplifies and unifies the implementation of complex LLM workflows as... See more
from r/singularity - Reddit
Nicolay Gerold added
Chaining LLM Agents instead of LLM calls. Seems like a pretty heavy prompt engineering effort. They are pushing for agents that are specialized in a certain tasks through RAG / finetuning, where CAMEL and other frameworks failed. One interesting area for exploration might be finetuning LLMs for collaboration before finetuning them for tasks. - An agent can be thought of as a logical wrapper around an LLM, allowing us to add several features to our AI systems, primarily:
- Tool usage, such as calling APIs for info, executing code,
- Internal thoughts over multiple generation steps
- Ability to use various tools and reasoning steps to answer more complex queries.
- Parallel agents can go and complete
from LLMs Are Not All You Need | Pinecone by James Briggs
Nicolay Gerold and added