How to Make Small Language Models Work. Yejin Choi Presents at Data + AI Summit 2024
Speaker: Yejin Choi, Professor and MacArthur Fellow at the University of Washington, and Senior Research Director for Commonsense AI at AI2
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Everything You Need To Know About Large Language Models (LLMs)
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What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata
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Interpretability: Understanding how AI models think
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RAG vs. CAG: Solving Knowledge Gaps in AI Models
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Small Language Models Under 4GB: What Actually Works?
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Why This Is the Most Exciting Time to Be Human | Ken Ono, Axiom Math
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Transformers, the tech behind LLMs | Deep Learning Chapter 5
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Data + AI Summit Keynote Day 1 - Ali Ghodsi, Co-founder and CEO of Databricks
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How to build your own Tiny Language Model from scratch - Luca Gilli
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Why AI Is Incredibly Smart and Shockingly Stupid | Yejin Choi | TED
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Understand AI in 14 minutes – with Anthropic's Chloe Lubinski [ARC 2026]
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Build a Small Language Model (SLM) From Scratch
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Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
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Complete Generative AI Course Free | Full Gen AI Course 2026 | Intellipaat
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RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source
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Better not Bigger: Distilling LLMs into Specialized Models
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AI Agents, Clearly Explained
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Don't learn AI Agents without Learning these Fundamentals
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Feed Your OWN Documents to a Local Large Language Model!
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