139 Episodo

  1. 🐳 Dockerizing AI: Model Context Protocol with Claude Desktop

    Publicado: 12/3/2025
  2. Model Context Protocol: A QA Guide for AI Testing

    Publicado: 12/3/2025
  3. Graph RAG: A Query-Focused Summarization Approach

    Publicado: 12/3/2025
  4. AI Agents: Tools, Planning, and Failure Modes - Huyen Chip

    Publicado: 11/3/2025
  5. AI Agents Research Papers: Best of 2024

    Publicado: 10/3/2025
  6. Fine-Tuning LLMs: A Deep Dive into Alternatives

    Publicado: 9/3/2025
  7. Advanced Prompt Engineering Techniques

    Publicado: 8/3/2025
  8. ChatGPT Prompts for Software Engineers

    Publicado: 8/3/2025
  9. The Art of AI Prompt Crafting

    Publicado: 8/3/2025
  10. Generative AI Agents: A Comprehensive Guide

    Publicado: 7/3/2025
  11. The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models

    Publicado: 6/3/2025
  12. Building Effective LLMs Agents

    Publicado: 6/3/2025
  13. Model Context Protocol (MCP) Explained

    Publicado: 5/3/2025
  14. LazyGraphRAG: High-Quality, Low-Cost Graph-Enabled RAG

    Publicado: 5/3/2025
  15. Retrieval Augmented Generation Architectures

    Publicado: 5/3/2025
  16. Graph RAG: A Query-Focused Summarization Approach

    Publicado: 5/3/2025
  17. DeepSeek-R1: Reasoning via Reinforcement LearningDeepSeek-R1: Reasoning via Reinforcement Learning

    Publicado: 4/3/2025
  18. Google Cloud AI Business Trends 2025

    Publicado: 4/3/2025
  19. LLM Post-Training: Reasoning, Reinforcement Learning, and Scaling

    Publicado: 4/3/2025

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> Building the future of products with AI-powered innovation. < Build Wiz AI Show is your go-to podcast for transforming the latest and most interesting papers, articles, and blogs about AI into an easy-to-digest audio format. Using NotebookLM, we break down complex ideas into engaging discussions, making AI knowledge more accessible. Have a resource you’d love to hear in podcast form? Send us the link, and we might feature it in an upcoming episode! 🚀🎙️

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