136 Episodo

  1. Knowledge Workers and Large Language Models: Current and Future Use

    Publicado: 27/3/2025
  2. Chain-of-Tools: Reasoning with Massive Unseen Tools

    Publicado: 26/3/2025
  3. Claude 3.5 Sonnet Achieves New SWE-bench Verified State-of-the-Art

    Publicado: 25/3/2025
  4. Transformers Without Normalization: Dynamic Tanh Achieves Strong Performance

    Publicado: 24/3/2025
  5. Fin-R1: Financial Reasoning with a Lightweight Language Model

    Publicado: 23/3/2025
  6. Claude's "Think" Tool: Enhanced Complex Problem Solving

    Publicado: 22/3/2025
  7. The Past, Present, and Future of AI for Developers

    Publicado: 21/3/2025
  8. LLM Concepts Explained: Sampling, Fine-tuning, Sharding, LoRA

    Publicado: 20/3/2025
  9. NVIDIA GTC 2025 Keynote: AI Factories and Accelerated Computing

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

    Publicado: 19/3/2025
  11. 🎣 Phishing: Attacks and Top Cybersecurity Defense Strategies

    Publicado: 18/3/2025
  12. RAG vs. CAG: Augmenting AI Model Knowledge

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

    Publicado: 17/3/2025
  14. Prompt Engineering for AI

    Publicado: 16/3/2025
  15. GraphFC: Graph-based Fact-Checking with Claim Decomposition

    Publicado: 15/3/2025
  16. LLM Agents: A Survey of Planning Approaches

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

    Publicado: 13/3/2025
  18. 🐳 Dockerizing AI: Model Context Protocol with Claude Desktop

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

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

    Publicado: 12/3/2025

6 / 7

> 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! 🚀🎙️

Visit the podcast's native language site