Software, libraries, and platforms for building AI.

Development Frameworks

• TensorFlow - Google's open-source machine learning platform
• PyTorch - Meta's flexible deep learning framework
• JAX - Google's library for high-performance machine learning research
• Hugging Face - Platform for sharing and using AI models

Application Frameworks

• LangChain - Framework for building applications with language models
• LlamaIndex - Tool for connecting language models with data sources
• AutoGPT - Framework for autonomous AI agents
• CrewAI - Platform for coordinating multiple AI agents

Development Tools

• Jupyter Notebooks - Interactive coding environment for data science
• Google Colab - Free cloud-based coding environment
• Weights & Biases - Platform for tracking machine learning experiments
• MLflow - Open-source platform for managing ML workflows

APIs and Services

• OpenAI API - Access to GPT models and other OpenAI services
• Anthropic API - Interface for using Claude models
• Google Vertex AI - Google's cloud-based AI development platform
• Amazon SageMaker - AWS platform for building and deploying ML models

Infrastructure

• Docker - Containerization platform for consistent AI deployments
• Kubernetes - System for managing containerized applications at scale
• Ray - Framework for scaling Python applications across clusters

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