Resources
Official Resources
Explore these official resources to deepen your understanding of AI agents and related technologies:
API Platform
Access the official API documentation and developer resources for building with large language models.
Visit ResourceOpenAI for Business
Learn about enterprise solutions and business applications of AI agent technology.
Visit ResourceOpenAI Stories
Discover real-world case studies and success stories of organizations using AI agents.
Visit ResourceChatGPT Enterprise
Explore enterprise-grade AI assistant solutions for organizations.
Visit ResourceLearning Materials
These educational resources will help you build your knowledge and skills in agent development:
- LangChain: Chat with Your Data - Learn how to build chatbots that can interact with your own data
- Building AI Applications with OpenAI - Comprehensive course on developing AI applications
- Building AI Agents Tutorial Series - Step-by-step video tutorials on agent development
- AI Fundamentals - Foundational knowledge for understanding AI systems
- Designing AI Agents - Comprehensive guide to agent architecture and implementation
- Building LLM-Powered Applications - Practical approaches to developing LLM-based systems
- Large Language Model based Autonomous Agents: A Survey - Academic survey of agent architectures and capabilities
- Artificial Intelligence: A Modern Approach - Classic textbook covering agent foundations
- ReAct: Synergizing Reasoning and Acting in Language Models - Foundational paper on reasoning and acting in agents
- Generative Agents: Interactive Simulacra of Human Behavior - Research on creating believable agent behavior
- LLM Powered Autonomous Agents - Comprehensive overview of agent architectures
- Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents - Research on collaborative agent systems
Tools and Frameworks
These tools and frameworks can accelerate your agent development process:
LangChain
Framework for developing applications powered by language models, with a focus on composability and reusability.
Visit WebsiteAutoGen
Framework for building multi-agent systems with conversational agents that can work together to solve tasks.
Visit WebsiteLlamaIndex
Data framework for building LLM applications with structured data and knowledge bases.
Visit WebsiteCrewAI
Framework for orchestrating role-playing autonomous AI agents, designed for collaborative task completion.
Visit WebsiteLangGraph
Library for building stateful, multi-actor applications with LLMs using graphs.
Visit WebsiteSemantic Kernel
Microsoft's open-source SDK that integrates LLMs with conventional programming languages.
Visit WebsiteCommunity Resources
Connect with other agent developers and stay updated on the latest developments:
- OpenAI Community Forum - Official community for discussing OpenAI technologies
- LangChain Discord - Community for LangChain developers
- r/LocalLLaMA - Reddit community focused on running LLMs locally
- Hugging Face Spaces - Platform for sharing and discovering AI applications
- The AI Edge - Weekly newsletter covering AI agent developments
- Latent Space - Blog and podcast focused on AI engineering
- The Batch - Andrew Ng's newsletter on AI developments
- Lil'Log - Technical blog covering AI research and applications
- NeurIPS - Leading conference on neural information processing systems
- ACL - Association for Computational Linguistics conference
- DeepLearning.AI Events - Workshops and webinars on AI topics
- EMNLP - Empirical Methods in Natural Language Processing conference
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