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20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Open-source inference platform for language, vision, embedding, reranking, image, audio, and video models. Deploy with multiple engines across heterogeneous hardware, from a laptop to a distributed cluster. Serve models through OpenAI-compatible APIs.
A collection of libraries to optimise AI model performances
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
- artificial-intelligence
- attention-mechanisms
- deep-learning
- reinforcement-learning
Context Graph for AI Native SDLC
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
A series of large language models developed by Baichuan Intelligent Technology
Open-source multimodal retrieval engine (Morphik Core)
- artificial-intelligence
- cache-augmented-generation
- colpali
- database
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
- gpt-4
- visual-language-learning
- artificial-inteligence
- deep-learning
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
- agent
- artificial-intelligence
- benchmark
- multimodal
AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
- ai
- automation
- artificial
- chromadb
AI Powered Knowledge Graph Generator
- artificial-intelligence
- knowledge-distillation
- knowledge-graph
- llm
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language