AI / Machine Learning

Anthropic API for Claude

Framework for applications with LLMs

LLM inference on pure CPU with C++

Framework for RAG and data-augmented LLM apps

OpenAI API for GPT and related models

Hugging Face library for efficient fine-tuning

Ultra-fast fine-tuning with 80% less memory

Self-hosted OpenAI API replacement

Microsoft framework for multi-agent conversational agents

Framework for orchestrating collaborative AI agents

AWS platform for foundation models

Simplified model serving framework

Data Version Control for ML

Open-source feature store for ML

ML platform for Kubernetes

Open-source platform for ML lifecycle

Enterprise experiment tracking platform

ML deployment platform for Kubernetes

Experiment tracking and MLOps platform

Amazon Web Services' fully managed machine learning platform

Google Cloud's unified ML platform for development and deployment

Leading open source embedding models from BAAI

Embedding models from Microsoft Research

Embedding models specialized in long documents

Python library for high-quality text embeddings

State-of-the-art embedding models from OpenAI

Prompting with step-by-step reasoning

Learning with few examples in the prompt

Adapting pre-trained models for specific tasks

Transfer knowledge from large to small models

Efficient fine-tuning with low-rank matrices

Designing effective prompts for LLMs

LoRA with quantization for maximum memory efficiency

Technique to enhance LLMs with external knowledge

Open-source embeddable vector database

Managed vector database for AI applications

Enterprise NLP platform focused on embeddings

Highly competitive Chinese AI models

Google's multimodal model family

xAI's LLM with X/Twitter data access

European AI startup with efficient models

AWS's proprietary AI models

Library for parallel computing in Python

Fundamental library for scientific computing in Python

Data analysis library for Python

Fast DataFrame library written in Rust

Google's unified ML platform

Small and open models from Google DeepMind

Meta's open-source model family

High-performance open source chat models

Small models that learn from large models

High-quality small models from Microsoft

Alibaba's open-source model family

Ultra-small Hugging Face models for edge

Efficient language models from Stability AI

1.1B parameter Llama model for edge computing

LLM output validation framework

Open-source LLM observability platform

LangChain platform for LLM debugging and monitoring

Arize open-source ML and LLM observability platform

Azure tool for LLM application development

LLM evaluation and feedback framework

Open source framework for LLM applications

Leading library for NLP and language models

Industrial-strength NLP library for Python

Google framework for high-performance numerical computing

High-level API for neural networks

High-level framework for PyTorch

Deep learning framework preferred in research

Google's ML framework for production

Interactive environment for data science

Interactive web IDE for notebooks, code, and data

Framework for multi-step agents with LangChain

Data visualization library for Python

Statistical visualization library based on Matplotlib

Open source vector database for AI applications

High-performance vector search engine

Open source vector database for AI

Run LLMs locally easily

AI-powered conversational search engine

Data validation with Python type hints

Classic ML library for Python

Library for mathematics, science and engineering

Distributed big data processing engine

High-performance LLM inference engine

Library for simplifying distributed training in PyTorch

HuggingFace library for reinforcement learning training of LLMs

Fine-tuning framework for LLMs with support for multiple techniques

Unified framework for LLM fine-tuning with web interface

Microsoft Azure's comprehensive suite of artificial intelligence services

Google's artificial intelligence APIs platform

OpenAI's artificial intelligence APIs platform

Azure service providing access to OpenAI models with enterprise integration

Quantization library for training and inference at reduced precision

Post-training quantization method for LLMs

Conversational AI model developed by OpenAI

AI assistant developed by Anthropic with focus on safety and helpfulness

Cohere's conversational model optimized for RAG and enterprise use

DeepSeek's conversational model with advanced reasoning capabilities

Fine-tuned chat model based on LLaMA trained on conversations

Meta's language model specialized in code generation and understanding

Mistral AI model specialized in code generation

DeepSeek's model specialized in code generation and understanding

Cohere's text embeddings API for semantic search

AI platform for multimodal search and embeddings

OpenAI's text embeddings API for search and similarity

High-quality embeddings API specialized for RAG

NVIDIA's parallel computing platform and API for GPUs

Unified data and AI platform based on Apache Spark

Library for accessing and processing ML datasets efficiently

Evaluation framework for LLM applications with unit test metrics

Evaluation framework for RAG systems

Low-code visual builder for LLM applications

Development platform for experimenting with Google's Gemini models

Open-source ecosystem for running LLMs locally

Standalone executables for running LLMs without dependencies

Oobabooga's web interface for running LLMs locally

Library for getting structured outputs from LLMs using Pydantic

Library for structured generation with LLMs using grammars

Compact versions of Meta's Llama models for efficient use

Mistral AI's 7B parameter base model with excellent performance

Mistral AI's Mixture of Experts model with high performance

Compact versions of Alibaba's Qwen models

Language model fine-tuned with evolved instructions

Open format for representing machine learning models

Alibaba's multimodal model for audio processing

Alibaba's vision-language model for image understanding

Microsoft SDK for integrating LLMs into enterprise applications

HuggingFace's inference server for LLMs in production

PyTorch model serving framework developed by AWS and Meta

NVIDIA inference server for deploying ML models in production