Cohort 1

Dan Becker

Chief Generative AI Architect @ Straive

Hamel Husain

Founder @ Parlance Labs

Mastering LLMs For Developers & Data Scientists

This started as an LLM fine-tuning course. It organically grew into a learning event with world-class speakers on a broad range of LLM topics. The original fine-tuning course is still here as a series of workshops. But there are now many self-contained talks and office hours from experts on many Generative AI topics. All materials + recordings will be available to participants who enroll. There are 11 talks and 4 workshops (and growing) in addition to office hours. Conference Talks ------------------------------Jeremy Howard: Co-Founder Answer.AI &amp; Fast.AI - Build Applications For LLMs in PythonSophia Yang: Head of Developer Relations, Mistral AI- Best Practices For Fine Tuning MistralSimon Willison: Creator of Datasette, co-creator of Django, PSF Board Member- Language models on the command-lineJJ Allaire: CEO, Posit (formerly RStudio) &amp; Researcher for the UK AI Safety Institute- Inspect, An OSS framework for LLM evalsWing Lian: Creator of Axolotl library for LLM fine-tuning- Fine-Tuning w/AxolotlMark Saroufim and Jane Xu: PyTorch developers @ Meta- Slaying OOMs with PyTorch FSDP and torchaoJason Liu: Creator of Instructor- Systematically improving RAG applications&nbsp;Paige Bailey: DevRel Lead, GenAI, Google- When to Fine-Tune?Emmanuel Ameisen: Research Engineer, Anthropic- Why Fine-Tuning is DeadHailey Schoelkopf: research scientist, Eleuther AI, maintainer, LM Evaluation Harness- A Deep Dive on LLM EvaluationJohno Whitaker: R&amp;D at AnswerAI- Fine-Tuning Napkin MathJohn Berryman: Author of O'Reilly Book Prompt Engineering for LLMs- Prompt Eng Best PracticesBen Clavié: R&amp;D at AnswerAI- Beyond the Basics of RAGAbhishek Thakur leads AutoTrain at HuggingFace- Train (almost) any llm model using 🤗 AutotrainKyle Corbitt is currently building OpenPipe- From prompt to model: fine-tuning when you've already deployed LLMs in prodAnkur Goyal: CEO and Founder at Braintrust- LLM Eval For Text2SQLFreddy Boulton: Software Engineer at 🤗- Let's Go, Gradio!Jo Bergum: Distinguished Engineer at Vespa- Back to basics for RAG Fine-Tuning Course---------------------------Run an end-to-end LLM fine-tuning project with modern tools and best practices. Four workshops guide you through productionizing LLMs, including evals, fine-tuning and serving. Workshop 1: Determine when (and when not) to fine-tune an LLMWorkshop 2: Train your first fine-tuned LLM with AxolotlWorkshop 3: Set up instrumentation and evaluation to incrementally improve your modelWorkshop 4: Deploy Your Model This is accompanied by 5+ hours of office hours. Lectures explain the why and demonstrate the how for all the key pieces in LLM fine-tuning. Your hands-on-experience in the course project will ensure your ready to apply your new skills in real business scenarios. The Fine-Tuning course has these guest speakers: - Shreya Shankar: LLMOps and LLM Evaluations researcher- Zach Mueller: Lead maintainer of HuggingFace accelerate- Bryan Bischof: Director of AI Engineering at Hex- Charles Frye: AI Engineer at Modal Labs- Eugene Yan: Senior Applied Scientist @ Amazon- Harrison Chase: CEO of LangChain- Travis Addair: Co-Founder &amp; CTO of Predibase- Joe Hoover: Lead ML Engineer at ReplicateFAQ: ------- Q: It says this course already started. Should I still Enroll?A: Yes. Everything is recorded, so you can watch videos for any events that have happened so far, join for live events moving forward, and even learn from talks long after the conference is over. Q: Will there be a future cohort?A: No. We were fortunate to have so many world-class speakers. We don't think this can be replicated, so it is now a one-time-only event with all recordings available. Q: Are you still giving out free compute credits?A: No. Students who enrolled after 5/29/2024 are not eligible for compute credits. You will still get access to the lectures and recordings. EXCEPTION: if you enroll in the course by 6/10/2024 and use Modal by 6/11/2024, they will give you $1,000 in compute credits.

Build skills to be effective with LLMs

Data scientists looking to repurpose skills from conventional ML into LLMs and generative AI

Software engineers with Python experience looking to add the newest and most important tools in tech

Programmers who have called LLM APIs that now want to take their skills to the next level by building and deploying fine-tuned LLMs

Who Is It For?

What you’ll get out of this conference

Discord with 1000+ members attending the conference.

Connect With A Large Community Of AI Practitioners

Topics such as RAG, Evals, Inference, Fine-Tuning, are covered.

Learn more about LLMs

We have curated the tools that we like the most. Credits for many of these tools are provided.

Learn about the best tools

This conference used to be a fine-tuning LLMs course. That course is still here, and takes place over the course of 4 workshops.

Learn about fine-tuning in-depth

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

Meet your instructors / conference organizers

Interactive weekly workshops where you will learn the tools you will apply in your course project.

Tuesdays

You will build and deploy an LLM as part of the course project. The course project is divided into four weekly project. By the end, you will not only know about fine-tuning, but you will have hands-on experience doing it.

Weekly projects

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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