Accelerate Programme for Scientific Discovery course timetable
Tuesday 3 June
| 09:30 |
This is a 1-day workshop to equip you with knowledge of large language models (LLMs) for use in scientific research. The course will introduce LLMs and how they work. Next, we’ll discuss approaches to prompting and RAG, along with the methods that are used to finetune LLMs. The day concludes by covering responsible use and the landscape of models that are available to researchers with some of their pros and cons. After taking this workshop, you will be more confident to take the first steps in using LLMs in your own research. Participants will require some background knowledge for this course. We will be looking at Python code and neural networks so familiarity with Python and some knowledge of machine learning and neural networks is required. We won’t be coding during the session, but will share code with you for you to work with after the session. |
| 13:30 |
This is a 1-day workshop to equip you with knowledge of large language models (LLMs) for use in scientific research. The course will introduce LLMs and how they work. Next, we’ll discuss approaches to prompting and RAG, along with the methods that are used to finetune LLMs. The day concludes by covering responsible use and the landscape of models that are available to researchers with some of their pros and cons. After taking this workshop, you will be more confident to take the first steps in using LLMs in your own research. Participants will require some background knowledge for this course. We will be looking at Python code and neural networks so familiarity with Python and some knowledge of machine learning and neural networks is required. We won’t be coding during the session, but will share code with you for you to work with after the session. |
Tuesday 10 June
| 09:30 |
LLM Hands on Workshop
[Places]
We know that when you’re learning AI & ML, a mix of classroom theory and hands-on practice is the best way to learn. So, we’re running a 1-day hands-on ML workshop to help you apply and develop further practical ML skills. This workshop will focus on Large Language Models (LLMs). During this workshop, you’ll work in teams on a real dataset of your choice, with support from Accelerate Science Machine Learning Engineers and researchers. You’ll need to work on building, tuning and evaluating LLMs for your chosen dataset - we have some dataset ideas to kick you off, or you can bring your own. This is an opportunity to work on real-life ML problems and data, and gain confidence in using tools that you can take back to your own domain and research project. This workshop is for people who are already confident with both ML fundamentals and Python programming. This isn’t a Python or ML introduction day - you’ll spend most of the day programming! We’ll use open-source libraries including HuggingFace and scikit-learn, so please come with a laptop and be prepared to get coding, before presenting your results to the group at the end of the day. |
| 13:30 |
LLM Hands on Workshop
[Places]
We know that when you’re learning AI & ML, a mix of classroom theory and hands-on practice is the best way to learn. So, we’re running a 1-day hands-on ML workshop to help you apply and develop further practical ML skills. This workshop will focus on Large Language Models (LLMs). During this workshop, you’ll work in teams on a real dataset of your choice, with support from Accelerate Science Machine Learning Engineers and researchers. You’ll need to work on building, tuning and evaluating LLMs for your chosen dataset - we have some dataset ideas to kick you off, or you can bring your own. This is an opportunity to work on real-life ML problems and data, and gain confidence in using tools that you can take back to your own domain and research project. This workshop is for people who are already confident with both ML fundamentals and Python programming. This isn’t a Python or ML introduction day - you’ll spend most of the day programming! We’ll use open-source libraries including HuggingFace and scikit-learn, so please come with a laptop and be prepared to get coding, before presenting your results to the group at the end of the day. |