This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems. The rag-cookbooks GitHub repository provides a collection of Jupyter notebooks offering tutorials, best practices, and practical use cases for implementing Retrieval Augmented Generation (RAG) systems.

The impact of AI on the workforce will be influenced by what different institutions throughout society—including businesses, nonprofit institutions, worker organizations, colleges and universities, and government—choose to do to guide its development and use.

Psst, kid, want some cheap and small LLMs? This blog post provides a comprehensive guide on how to set up and use llama.cpp, a C++ library, to efficiently run large language models (LLMs) locally on consumer hardware.

This Nature Neuroscience article discusses the emerging role and potential applications of large language models (LLMs) in accelerating research and advancing understanding within the field of neuroscience.

Braintrust - The AI observability platform for building quality AI products

A technique for deterministic labeling from stochastic models, with benchmarked Golang implementation.

Wikipedia’s high-level guidance noting some ways to identify LLM writing