In this short course, you’ll learn essential finetuning concepts and how to train a large language model using your own data. You’ll be equipped to incorporate the latest techniques to optimize your model and produce transformative results.
When you complete this course, you will be able to: Understand when to apply finetuning on LLMs Prepare your data for finetuning Train and evaluate an LLM on your data With finetuning, you’re able to take your own data to train the model on it, and update the weights of the neural nets in the LLM, changing the model compared to other methods like prompt engineering and Retrieval Augmented Generation. Finetuning allows the model to learn style, form, and can update the model with new knowledge to improve results.
BB
Great workshop for LLM beginners who wants to get hands-on in the same day of LLM fine tuning activities. Great thanks to Dr.Sharon Zhou to make the LLM fine-tuning as simple as train a DNN model.
MH
Good material. Easy to accomplish length.Hands on project instruction was helpful!
MD
Excellent zoom in from high level to the more detail. Makes me feel like diving in even more into the finetuning of LLMs
LK
really good course to get started and understand what actually finetuning is, and why do we need it. it is structured pretty well
AD
The knowledge acquired in the course will be very helpful to me on my field.
PR
Very helpful to get basic knowledge of fine-tuning LLMs.
SS
Right on point for someone looking to start learning about LLM finetuning
QA
I learned overview of LLM finetuning from almost zero and was able to have meaningful discussion with AI tech people e.g. whether to go fore fine-tuning or not, how to gather data for fine-tuning.
EC
Muy Instructivo con conceptos importantes sobre fintuning que no tenia previamente
DP
Basic but concrete and useful for understanding the concept.
AA
This project will enhance my technical skills at place of my work
AC
Course was presented well and focused. It was easy to follow Labs notebooks and they worked.
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course is good but why certificate is missing, is there any procedure to get certificate. please guide me.
Please Give in this Certificate
Lamini requires an API key, which can be discouraging for the open-source community.
not a good experience, i mean she did'nt elaborated it
I really like the enthusiastic and engaging way in which Ms. Sharon Zhou explains the concepts. Her excellent articulation makes it easy for even non-native English speakers to grasp every detail effortlessly. Thank you for the course—it was insightful and well-structured!
A powerful technique to adapt LLMs for specific tasks or domains. Boosts performance and personalisation, but requires quality data, compute resources, and careful evaluation. Best used when general models fall short.
A very detailed course on finetuning; helped me understand in data preparation and training process. The evaluation and iteration video was especially useful. Thank you for the free course! Greatly appreciated.
Great workshop for LLM beginners who wants to get hands-on in the same day of LLM fine tuning activities. Great thanks to Dr.Sharon Zhou to make the LLM fine-tuning as simple as train a DNN model.
I learned overview of LLM finetuning from almost zero and was able to have meaningful discussion with AI tech people e.g. whether to go fore fine-tuning or not, how to gather data for fine-tuning.
An "intro" course that is great for folks with only a little bit of experience in using LLMs. Great start to begin getting into the "good" stuff!
Great course to learn about fine tuning, what it is, what it can accomplish and what the fundamental steps are in being able to achieve it.
really good course to get started and understand what actually finetuning is, and why do we need it. it is structured pretty well
Excellent zoom in from high level to the more detail. Makes me feel like diving in even more into the finetuning of LLMs
Good presentation of the material, the topic was researched and analyzed in sufficient depth. Thank you for the course.
Excellent course and a nice pre-cursor to understanding why and when we need to perform finetuning.
Course was presented well and focused. It was easy to follow Labs notebooks and they worked.
Good material. Easy to accomplish length.Hands on project instruction was helpful!
The knowledge acquired in the course will be very helpful to me on my field.
It was a great course, short and crisp on topic with hands on side by side
Excellent Overview with lots of hands-on insights for further experiments