AI
Explore the 500+ AI Agent Projects repository—a curated collection revolutionizing AI development across industries. Learn about its structure, use cases, and practical implementation tips.
AI
A deep dive into the Awesome AI Agents repository: discover 200+ curated AI autonomous agents, frameworks, and tools. Learn how to navigate, use, and contribute to this essential resource for developers and researchers.
AI
Discover how the Agent File (.af) open standard is transforming AI agent portability, collaboration, and versioning. This tutorial covers the format's architecture, practical usage, and implementation tips for serializing stateful AI agents across frameworks.
AI
Discover Unbody, the open-source AI-native backend platform revolutionizing intelligent application development. This tutorial covers Unbody's core features, setup process, and practical use cases for building next-generation AI-native apps.
AI
Discover OWL (Optimized Workforce Learning), the leading open-source multi-agent AI framework. Learn about its architecture, features, installation steps, and practical usage examples for advanced task automation.
AI
Discover how Context7, the revolutionary MCP server, empowers AI coding assistants and editors with real-time, up-to-date code documentation. Learn setup, usage, and best practices in this comprehensive tutorial.
AI
Discover PocketFlow, the minimalist 100-line Python framework that's transforming AI agent development. Learn how its graph-based abstraction enables rapid, flexible, and vendor-agnostic LLM applications with zero bloat.
AI
Learn how to install, configure, and use MCPM-Aider to manage MCP servers in Claude App and integrate them with aider. This step-by-step tutorial covers both the toolprompt and bridge service methods for seamless AI development workflows.
AI
Building Context-Aware AI Applications with LangChain: A Complete Developer Guide LangChain has emerged as one of the most powerful frameworks for building AI applications that can reason with context and connect to external data sources. With over 116,000 stars on GitHub and adoption by major companies like LinkedIn, Uber,
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Executive summary * Data leaders and CDOs should care because data product thinking has moved from the "Assess" ring to "Adopt" in Thoughtworks' Technology Radar, signaling enterprise readiness and proven value delivery. * Enterprise architects and platform teams need to understand that successful data product implementation requires
AI
OpenAI Whisper has revolutionized speech recognition with its robust, multilingual capabilities. This comprehensive guide will walk you through everything you need to know about implementing and using Whisper for your AI projects.
AI
A deep dive into model distillation: how enterprises can leverage this technique to reduce AI costs, improve efficiency, and deploy advanced models at scale. Includes strategic approaches, risks, and actionable next steps.