HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start givi
llm
ai
llms
agents
agentic-ai
agentic-workflow
humanlayer
approval-process
escalation-policy
function-calling
human-as-tool
human-in-the-loop
Updated 2025-08-20 19:01:23 +03:00
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
ai
rag
llms
prompt-engineering
framework
agents
12-factor
12-factor-agents
context-window
memory
orchestration
Updated 2025-08-20 18:59:53 +03:00
"VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos"
large-language-models
llms
rag
retrieval-augmented-generation
long-video-understanding
multi-modal-llms
Updated 2025-05-11 03:54:36 +03:00
Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.
Updated 2025-04-14 07:48:21 +03:00
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
Updated 2025-04-01 23:32:26 +03:00
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Updated 2025-01-28 01:46:33 +03:00
LLaVA-MORE: Enhancing Visual Instruction Tuning with LLaMA 3.1
Updated 2024-09-16 03:07:24 +03:00
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
Updated 2024-02-27 23:27:24 +03:00