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📝 python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
🪄 Create rich visualizations with AI
Sky-T1: Train your own O1 preview model within $450
Fully open reproduction of DeepSeek-R1
Open Thoughts: Fully Open Data Curation for Thinking Models
A comprehensive repository of reasoning tasks for LLMs (and beyond)
Make websites accessible for AI agents
Task-Aware Agent-driven Prompt Optimization Framework
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other enterprise documents into metadata and text to embed into retri…
Minimalistic 4D-parallelism distributed training framework for education purpose
Medical o1, Towards medical complex reasoning with LLMs
Stanford NLP Python library for Representation Finetuning (ReFT)
open-source framework for creating and managing simulations populated with AI-powered agents. It provides an intuitive platform for designing complex, interactive environments where agents can act,…
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
Implementation of papers in 100 lines of code.
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
A curated list of open-source projects built by the CrewAI community. Discover, contribute, and extend the possibilities of AI agents with CrewAI.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Agent benchmark for medical diagnosis
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Machine Learning Journal for Intermediate to Advanced Topics.
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!