Generative AI with LangChain: Build large language model (LL...

Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

updated 12h ago

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Nicolay Gerold and 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.
a lot of the focus today is on the development of foundational large language models (LLMs), the transformer architecture was invented only 6 years ago, and ChatGPT was released less than a year ago. It will likely take years, or even decades, before we have a full tech stack for generative AI and LLMs and a host of transformative applications—thou... See more
from What Builders Talk About When They Talk About AI | Andreessen Horowitz by Sarah Wang
Nicolay Gerold added