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Steven · Education

Steven AI Talk

Steven AI Talk(English)

Episodes

The Production AI Playbook: Five Pillars for Enterprise Scaling

Bridging the LLM Data Gap with Web Access Platforms

🚀 Stanford CS336 Lecture 13: The Evolution of Language Model Data. -Notebooklm Summary

Stanford CS336 Language Modeling from Scratch Lecture 12 highlights - Evaluation Overview

Stanford University CS336 Lecture 11 highlights Application of Scaling Laws in Large Language Models and Maximal Update Parameterization

Stanford CS336 2025 l10 highlights : In-Depth Analysis of Language Model Inference Efficiency and Generation Mechanics

Stanford CS336 Lec 9 highlights 📈 The Science of Scale: Why Bigger Isn't Always Better in LLMs.

🚀 We are hitting the "language-only ceiling" in AI

Are we hitting the "language-only ceiling" in AI? 🌐

🚀 The AI Agent "evaluation gap" is real. To deploy agents in high-stakes environments, our benchmarks must evolve beyond static datasets.

The AI agent era is here, but our benchmarks are lagging behind. We are facing a critical "evaluation gap." 📊

Don't Build Slop: The 4 Levels of AI Agent Maturity

Don't Build Cascaded Pipelines: The Rise of Native "Any-to-Any" Multimodal Agents

Don't Build Cascaded Pipelines: Skilling Up Coding Agents for System Observability

Google I/O 2026 Comprehensive Review: Entering the Agentic Gemini Era

Mapping the Humanoid Robotics Value Chain: The "ChatGPT Moment" for Physical AI

The One-Person Company (OPC) Paradigm: AI-Driven Industrial Re-Architecture

🚀 Scaling LLMs is no longer just about more GPUs—it's about the geometry of the cluster-Stanford's CS336 Lecture 8

Scale or Fail! 🌐 Just summarized Stanford CS336 Lecture 7: Distributed Computing, GPU Parallelism, and Collective Operations.

Stanford CS336 Lecture 6: Mastering GPU Programming Models, Performance, and Triton Kernels

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