6 tools tagged
Showing 6 of 6 tools
API for GPT-4, o1, DALL-E, Whisper, and embeddings
Official API platform for GPT-4o, o1/o3 reasoning models, DALL-E image generation, Whisper speech-to-text, and text embeddings. Features Assistants API, function calling, JSON mode, fine-tuning, and batch processing. The most widely used AI API in the industry, powering millions of applications from chatbots to complex multi-step agent systems across every sector.
Enterprise AI for text generation, search, and RAG
Open-source deployment platform for machine learning models. Package models as standard containers, serve via REST/gRPC APIs, and scale across GPU clusters. Supports all major ML frameworks including PyTorch, TensorFlow, and Hugging Face Transformers. The standard for teams who need reproducible, scalable model serving without vendor lock-in or proprietary infrastructure dependencies.
The GitHub of ML — model hub, datasets, and inference
Open-source platform for building, sharing, and deploying machine learning models and datasets. Hosts 500k+ models, 100k+ datasets, and Spaces for interactive demos. The central hub of the open-source AI ecosystem, providing model discovery, inference APIs, and collaborative tools that make it the GitHub of machine learning for researchers and developers worldwide.
Unified API proxy for 100+ LLMs
Drop-in OpenAI-compatible proxy supporting 100+ LLM providers with load balancing, spend tracking, rate limiting, and fallback routing. Acts as a unified gateway for all your AI model calls, letting teams switch between providers, enforce budgets, and add reliability layers without changing application code. Essential infrastructure for multi-model AI architectures.
Data framework for LLM applications
Leading Python framework for building LLM-powered applications with focus on data-aware and agentic workflows. Provides tools for RAG (Retrieval-Augmented Generation), document indexing, vector store integrations, query engines, and multi-agent orchestration. 150+ data connectors for various sources. Works with OpenAI, Anthropic, local models, and more. Includes LlamaHub for community tools and LlamaCloud for managed RAG pipelines. 40K+ GitHub stars.
Framework for LLM applications
The most widely-used framework for building LLM-powered applications, available in Python and JavaScript. Provides abstractions for chains, agents, RAG, memory, tool usage, and structured output. Integrates with 100+ LLM providers, vector stores, document loaders, and tools. LangSmith offers tracing and evaluation. LangGraph enables stateful, multi-agent workflows with cycles. 100K+ GitHub stars. The de facto standard for LLM application development despite growing alternatives like LlamaIndex.
