Introducing Wren Engine | WrenAI
updated 4mo ago
Introducing Wren Engine | WrenAI
- 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. - Amplify Partners was running a survey among 800+ AI engineers to bring transparency to the AI Engineering space. The report is concise, yet it provides a wealth of insights into the technologies and methods employed by companies for the implementation of AI products.
Highlights
👉 Top AI use cases are code intelligence, data extraction and workflow a... See morefrom feed updates
- If all of these research ambitions were to come to fruition, the resulting system would be a very early version of the system that we envisioned in the introduction. That is, the resulting system would be able to provide domain expert answers to a wide range of information needs in a way that neither modern IR systems, question answering systems, o... See more
from Rethinking Search: Making Domain Experts out of Dilettantes by Donald Metzler
Benjamin Searle added