Hamel Husain

Instrumenting & Evaluating LLMs

Deploying Fine-Tuned Models

Replicate Office Hours

Fine Tuning OpenAI Models - Best Practices

Modal Office Hours

Getting the Most Out of Your LLM Experiments

LLM Eval For Text2SQL

Napkin Math For Fine Tuning Pt. 2 w/Johno Whitaker

Building LLM Applications w/Gradio

When and Why to Fine Tune an LLM

Predibase Office Hours

Train (almost) Any LLM Model Using 🤗 Autotrain

Prompt Engineering Workshop

Modal: Simple Scalable Serverless Services

Systematically improving RAG applications

A Deep Dive on LLM Evaluation

Creating, Curating, and Cleaning Data for LLMs

Inspect, an OSS Framework for LLM Evals

Slaying OOMs with PyTorch FSDP and torchao

Fine Tuning LLMs for Function Calling w/Pawel Garbacki

Fine-tuning large language models for function calling requires selecting an objective—ranging from simple forced calls to complex multi-turn chats—that aligns with specific use cases. Preserving existing instruction-following capabilities is best achieved by tuning on top of instruct-optimized models rather than base ...