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An in-depth technical exploration of the OpenAI Agents SDK, detailing its core concepts, architecture, and practical code examples to help you build intelligent, autonomous agents that seamlessly integrate with external tools and context.

A technical exploration of Anthropic’s Model Context Protocol (MCP), detailing its architecture, primitives, and how it resolves the integration challenges of modern AI applications.

This blog explores 26 principled instructions for enhancing interactions with large language models (LLMs) like GPT-4, Claude 3.5 Sonnet, and Llama 3, providing a comprehensive guide for developers and users.

An in-depth comparison of Retrieval-Augmented Generation (RAG) and fine-tuning approaches in natural language processing, with specific examples and use cases.

An introduction to the concept and applications of Retrieval-Augmented Generation in natural language processing.