129 Episodes

  1. LLM Concepts Explained: Sampling, Fine-tuning, Sharding, LoRA

    Published: 3/20/2025
  2. NVIDIA GTC 2025 Keynote: AI Factories and Accelerated Computing

    Published: 3/19/2025
  3. Agentic RAG: Intelligent Retrieval Augmented Generation

    Published: 3/19/2025
  4. 🎣 Phishing: Attacks and Top Cybersecurity Defense Strategies

    Published: 3/18/2025
  5. RAG vs. CAG: Augmenting AI Model Knowledge

    Published: 3/18/2025
  6. LONGREPS: Reasoning Path Supervision for Long-Context Language Models

    Published: 3/17/2025
  7. Prompt Engineering for AI

    Published: 3/16/2025
  8. GraphFC: Graph-based Fact-Checking with Claim Decomposition

    Published: 3/15/2025
  9. LLM Agents: A Survey of Planning Approaches

    Published: 3/14/2025
  10. Anthropic's Model Context Protocol (MCP): Origins, Functionality, and Impact

    Published: 3/13/2025
  11. 🐳 Dockerizing AI: Model Context Protocol with Claude Desktop

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

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

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

    Published: 3/11/2025
  15. AI Agents Research Papers: Best of 2024

    Published: 3/10/2025
  16. Fine-Tuning LLMs: A Deep Dive into Alternatives

    Published: 3/9/2025
  17. Advanced Prompt Engineering Techniques

    Published: 3/8/2025
  18. ChatGPT Prompts for Software Engineers

    Published: 3/8/2025
  19. The Art of AI Prompt Crafting

    Published: 3/8/2025
  20. Generative AI Agents: A Comprehensive Guide

    Published: 3/7/2025

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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! 🚀🎙️