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Machine learning covers methods that train predictive systems from data and evaluate how well they generalize beyond the training set.

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  1. Ritvik Pandya beside the blue and white headline “FIND THE API DRIFT” on a black background.
    Learned Execution Graphs for Anomaly Detection and API Drift
    AI Engineer19m 38s
  2. Lovina Dmello in a blue top looks upward beside the blue and white "SECURE THE STACK" headline against black.
    Your LLM Stack Is a 2008 Database With Better Marketing - Lovina Dmello, NVIDIA
    AI Engineer20m 36s
  3. Akram Baharlouei in a blue top against black beside the blue-and-white headline MODELING CELLS.
    From Tokens to Cells: Better Biological Models
    AI Engineer16m 57s
  4. Annabell Schäfer in a photographic portrait on black beside the blue-and-white headline “EXPERTISE BEFORE OPTIMIZING”.
    Annabell Schäfer Shows Why Prompt Optimization Needs Domain Expertise
    AI Engineer17m 39s
  5. Zhengyao Jiang against a black background with the blue and white headline “AUTOMATED RESEARCH”.
    How Autoresearch is changing ML research - Zhengyao Jiang, Weco
    AI Engineer16m 16s
  6. Sachin Kumar in a light-blue shirt on the right, with one hand touching his chin, beside the blue-and-white headline “Backdoor Detection” on black.
    Detecting Model Backdoors Through Activation Differences
    AI Engineer13m 58s
  7. Pierce Freeman and Richard Diehl Martinez in blue and white tops against black, alongside the blue and white headline "WHY AGENTS CHEAT".
    Why Agents Cheat: Reward Hacking, Fine-Tuning and Model Internals
    The Pretrained Pod1h
  8. Pierce Freeman and Richard Diehl Martinez in blue and white tops against black, alongside the blue and white headline "SMALL MODELS, BIG QUESTIONS".
    Richard Diehl Martinez on Small Models, Learning Dynamics and an AI PhD
    The Pretrained Pod56m 22s