Scaling Up “Vibe Checks” for LLMs - Shreya Shankar | Stanford MLSys #97

Teaching LLMs to Use Tools at Scale - Shishir Patil | Stanford MLSys #98

Monarch Mixer: Making Foundation Models More Efficient - Dan Fu | Stanford MLSys #86

AI Agents for Data Analysis with Shreya Shankar - 703

Validating the Validators: GenAI and Humans-in-the-Loop

Coding Best Practices for Modern Data Analysis | Coleridge Initiative

Text2SQL: The Dream versus Reality - Laurel Orr | Stanford MLSys #89

Think Fast, Talk Smart: Communication Techniques

Training LLMs at Scale - Deepak Narayanan | Stanford MLSys #83

Bacaan Ruqyah Shar'iyyah | Penawar Gangguan Sihir & Jin | الرقية الشرعية

Hardware-aware Algorithms for Sequence Modeling - Tri Dao | Stanford MLSys #87

Evaluating LLM-based Applications

How Fine-tuning Open Source LLMs Solves GenAI Productionization - Piero Molino | Stanford MLSys #94

Fine tuning LLMs for Memorization

Evaluate LLMs with Language Model Evaluation Harness

Multimodal Reasoning: PaLM-E & Gemini - Aakanksha Chowdhery | Stanford MLSys #90

Andrew Ng: Opportunities in AI - 2023

Notes on AI Hardware - Benjamin Spector | Stanford MLSys #88

Mitigating LLM Hallucinations with a Metrics-First Evaluation Framework

Machine Learning for Everybody – Full Course

The Next 100x - Gavin Uberti | Stanford MLSys #92