yaricom
Follow
Highlights
- Pro
LLM
StableLM: Stability AI Language Models
Fast and memory-efficient exact attention
[ICML 2024] Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
utilities for decoding deep representations (like sentence embeddings) back to text
Open-source vector similarity search for Postgres
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A repository for research on medium sized language models.
DSPy: The framework for programming—not prompting—language models
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A library for efficient similarity search and clustering of dense vectors.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
OLMoE: Open Mixture-of-Experts Language Models
The simplest, fastest repository for training/finetuning medium-sized GPTs.
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
A trivial programmatic Llama 3 jailbreak. Sorry Zuck!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Official code for VisProg (CVPR 2023 Best Paper!)
AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
BlueLM(蓝心大模型): Open large language models developed by vivo AI Lab
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"