The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
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Updated
Jul 9, 2024 - C++
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Work with LLMs on a local environment using containers
Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK
Substrate Python SDK
DevQualityEval: An evaluation benchmark 📈 and framework to compare and evolve the quality of code generation of LLMs.
Substrate TypeScript SDK
Self-hosted AI coding assistant
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
🤖 Collect practical AI repos, tools, websites, papers and tutorials on AI. 实用的AI百宝箱 💎
OpenLIT is an open-source LLM Observability tool built on OpenTelemetry. 📈🔥 Monitor GPU performance, LLM traces with input and output metadata, and metrics like cost, tokens, and user interactions along with complete APM for LLM Apps. 🖥️
Easyest and lazyest way for building multi-agent LLMs applications.
🦙 Llama - Welcome to the Llama-API repository! This repository is dedicated to testing the llamaapi Python library to access LlamaAPI. Whether you're a developer, researcher, or just a tech enthusiast, you'll find valuable resources and examples here.
Drop-in, local AI alternative to the OpenAI stack. Multi-engine (llama.cpp, TensorRT-LLM, ONNX). Powers 👋 Jan
Your private, open-source, AI assistant platform. An open-source alternative to ChatGPT, Claude & Gemini. Run LLMs from OpenAI, Anthropic, Ollama, Mistral, Llama, and Google Gemini all together, all on your own private infrastructure. Out-of-box solutions that you can tune to empower your team with AI. Accelerate your team's AI adoption.
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
This repository contains my team's internship project work at Flexbox Technologies. We have developed a system that fills the patient details form automatically with the patient data extracted from pdf file.
Building AI agents, atomically
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