135 Episodo

  1. Agentic Context Engineering: Evolving Contexts for LLMs

    Publicado: 10/10/2025
  2. Less is More: Recursive Reasoning with Tiny Networks

    Publicado: 8/10/2025
  3. Understanding the 4 Main Approaches to LLM Evaluation - from Sebastian Raschka

    Publicado: 8/10/2025
  4. OpenAI DevDay 2025: Agents, Apps, and GPT-5 Pro

    Publicado: 7/10/2025
  5. Self-Supervised Learning and the Future of AI - from a lecture given by Yann LeCun

    Publicado: 7/10/2025
  6. Skill erosion, where relying on intelligent systems creates an "illusion of mastery" while core competence fades

    Publicado: 5/10/2025
  7. The Essential Startup Guide to Building AI Agents with Google

    Publicado: 29/9/2025
  8. LIMI: Less Is More for Intelligent Agency

    Publicado: 25/9/2025
  9. AI Adoption: Claude and ChatGPT Usage Patterns

    Publicado: 24/9/2025
  10. Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning

    Publicado: 24/9/2025
  11. ⚖️ Self-Consistency Improves Chain-of-Thought Reasoning in LMs

    Publicado: 22/9/2025
  12. Economic Index Report by Anthropic - 09/2025: Uneven Global and Enterprise AI Adoption

    Publicado: 17/9/2025
  13. 🤔 How People Use ChatGPT - from OpenAI Report

    Publicado: 17/9/2025
  14. LLM Interview Questions: A Comprehensive Guide

    Publicado: 15/9/2025
  15. Sam Altman & Khosla Ventures - AI: Evolution, Disruption, and the Future of Work

    Publicado: 11/9/2025
  16. Distilling Step-by-Step: Outperforming LLMs with Less Data

    Publicado: 8/9/2025
  17. 😵‍💫 Why Language Models Hallucinate

    Publicado: 7/9/2025
  18. Attention Is All You Need

    Publicado: 5/9/2025
  19. LoRA: Low-Rank Adaptation of Large Language Models

    Publicado: 4/9/2025
  20. The Ultimate Guide to Fine-Tuning LLMs

    Publicado: 2/9/2025

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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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