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Fine Tuning LLMs has helped countless students
learn to customize LLMs and add a unique project
to their resume.
Learn how to customize models like GPT 2, Llama, and BERT.
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Amit R
I love the attention to detail that Dev provides, with minimal theory to get started with implementation. This is exactly how I wanted to learn.
Shekhar C
The courses have been a LIFESAVER for me. They're comprehensive and easy to understand, almost like having a personal expert by your side.
Chang L
The structure has significantly boosted my confidence in AI/ML. Highly recommend for anyone serious about advancing in this field.
Course Content
01.
Review of relevant
LLM concepts
02.
Fine Tuning GPT 2
03.
LoRA (Low Rank Adaptation) and Quantization
04.
Fine Tuning Llama 2 (from Meta)
05.
BERT and other alternatives to GPT
Simon Wang, Singapore
"Dev has a knack for simplifying complex concepts."
Jane Grant, New York
"This course contains a wealth of detailed concepts that you won't find collected together anywhere else. Highly recommend."
Rafael Ruiz, Spain
"I love how all the concepts are tied together from module to module."
What's Inside
Fine Tuning LLMs is comprised of 3 main chapters.
Chapter 1: LLMs Review
We start off the course by reviewing the required background knowledge on LLMs.
Chapter 2: Fine Tuning Tricks
Next, we go over the tricks needed to fine tune LLMs without expensive GPUs.
Chapter 3: SQL Expert
Lastly, we use the tricks from the previous chapter to build an SQL "expert". With fine tuning, we can improve the SQL queries that LLMs generate.
Search video...
LLMs Background Review
$
22:02
Introducing New Libraries
$
05:34
Fine Tuning GPT-2: Dataset, Model, Tokenizer, and Config
$
18:58
Fine Tuning GPT-2: Generation, More Training, and Inference
$
16:46
Note for Members: The Video Info tab has a description with important clarifications and information for each module.
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