Emerging AI Agent Architectures

Researchers from IBM and Microsoft present this concise summary of emerging AI agent architectures.

It focuses the discussion on capabilities like reasoning, planning, and tool calling which are all needed to build complex AI-powered agentic…

A Survey on Retrieval-Augmented Text Generation for LLMs

Presents a comprehensive overview of the RAG domain, its evolution, and challenges.

It includes a detailed discussion of four important aspects of RAG systems: pre-retrieval, retrieval, post-retrieval, and generation.

If

It's here!

Introducing Llama 3 by Meta. 8B and 70B pretrained and instruction-tuned models are available.

llama.meta.com/llama3/

Details in the thread:

Overall, it seems that better data is all you need!

Anyway, I am excited about this release so I recorded some of my first impressions and thoughts, along with an overview of the announcement.

Will also be doing some follow-ups when the research paper is released and…

How Faithful are RAG Models?

This new paper aims to quantify the tug-of-war between RAG and LLMs' internal prior.

It focuses on GPT-4 and other LLMs on question answering for the analysis.

It finds that providing correct retrieved information fixes most of the model