Канал: Hamel Husain

Build Applications For LLMs in Python

Build Applications For LLMs in Python

Axolotl Office Hours

Axolotl Office Hours

LangChain/LangSmith Office Hours

LangChain/LangSmith Office Hours

FSDP, DeepSpeed and Accelerate

FSDP, DeepSpeed and Accelerate

Fine-Tuning with Axolotl

Fine-Tuning with Axolotl

Instrumenting & Evaluating LLMs

Instrumenting & Evaluating LLMs

Deploying Fine-Tuned Models

Deploying Fine-Tuned Models

Replicate Office Hours

Replicate Office Hours

Fine Tuning OpenAI Models - Best Practices

Fine Tuning OpenAI Models - Best Practices

Modal Office Hours

Modal Office Hours

Getting the Most Out of Your LLM Experiments

Getting the Most Out of Your LLM Experiments

LLM Eval For Text2SQL

LLM Eval For Text2SQL

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

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

Building LLM Applications w/Gradio

Building LLM Applications w/Gradio

When and Why to Fine Tune an LLM

When and Why to Fine Tune an LLM

Predibase Office Hours

Predibase Office Hours

Train (almost) Any LLM Model Using 🤗 Autotrain

Train (almost) Any LLM Model Using 🤗 Autotrain

Prompt Engineering Workshop

Prompt Engineering Workshop

Modal: Simple Scalable Serverless Services

Modal: Simple Scalable Serverless Services

Systematically improving RAG applications

Systematically improving RAG applications

A Deep Dive on LLM Evaluation

A Deep Dive on LLM Evaluation

Creating, Curating, and Cleaning Data for LLMs

Creating, Curating, and Cleaning Data for LLMs

Inspect, an OSS Framework for LLM Evals

Inspect, an OSS Framework for LLM Evals

Slaying OOMs with PyTorch FSDP and torchao

Slaying OOMs with PyTorch FSDP and torchao

Fine Tuning LLMs for Function Calling w/Pawel Garbacki

Fine Tuning LLMs for Function Calling w/Pawel Garbacki

From Prompt to Model: Fine-tuning when you've already deployed LLMs in prod w/Kyle Corbitt

From Prompt to Model: Fine-tuning when you've already deployed LLMs in prod w/Kyle Corbitt

Why Fine Tuning is Dead w/Emmanuel Ameisen

Why Fine Tuning is Dead w/Emmanuel Ameisen

Back to Basics for RAG w/ Jo Bergum

Back to Basics for RAG w/ Jo Bergum

Napkin Math For Fine Tuning Pt. 1 w/Johno Whitaker

Napkin Math For Fine Tuning Pt. 1 w/Johno Whitaker

Beyond the Basics of Retrieval for Augmenting Generation (w/ Ben Clavié)

Beyond the Basics of Retrieval for Augmenting Generation (w/ Ben Clavié)

Best Practices For Fine Tuning Mistral

Best Practices For Fine Tuning Mistral

Language models on the command-line w/ Simon Willison

Language models on the command-line w/ Simon Willison

Debugging Axolotl Part 2: Attaching to Docker on a Remote Host

Debugging Axolotl Part 2: Attaching to Docker on a Remote Host

See this video instead https://youtu.be/0AuoR7QnHR0

See this video instead https://youtu.be/0AuoR7QnHR0

How to debug Axolotl (for fine tuning LLMs)

How to debug Axolotl (for fine tuning LLMs)

A Kubernetes Primer For Data Scientists, Part 1

A Kubernetes Primer For Data Scientists, Part 1

How To Evaluate MLOps Tools

How To Evaluate MLOps Tools

nbdev live coding

nbdev live coding

nbdev live coding with Hamel Husain

nbdev live coding with Hamel Husain

Codespaces - 1

Codespaces - 1