The Python version to be used is specified in the .python-version file. It's a pyenv thing.
There's a weekly course material zip file in each of the Week_2, Week_3, Week_4 directories that you'll need.
What is Modelling? Part 1 | Module 1
https://www.youtube.com/watch?v=EuukvuoFMvg
What is Modelling? Part 2 | Module 1
https://www.youtube.com/watch?v=Qhr7iu7tQ_c
Discovering your Data - Part 1 | Module 2
https://www.youtube.com/watch?v=rIrwBvVQVPg
(Intro to the concept of embedding)
Discovering your Data - Part 2 | Module 2
https://www.youtube.com/watch?v=vuI9VlBdyAM
(Retrieval Augmented Generation, actual embedding using LangChain, store embeddings in Chroma)
Working with Models - Part 1 | Module 3
https://www.youtube.com/watch?v=G6QwZFHvHD8
(feeding documents into Mistral LLM; "agent," "tool")
Working with Models - Part 2 | Module 3
https://www.youtube.com/watch?v=F4Y1h2M4-04
(Mistral 7B)
Working with Models - Part 3 | Module 3
https://www.youtube.com/watch?v=4o9rQRg4cnM
(inserting a /directory full of documents into a vector database; load with LangChain's PyPDFDirectoryLoader, then embed the CSVs & PDFs with LangChain embedding classes, then install and load vectors into Chroma, then run a few queries. And now at 6:17 start Week 3 ...
Start by making an Agent, 8:15.)
https://colab.research.google.com/drive/1uhm63oZziGMXAAeBQzaElcDWLF7OeWFq
https://python.langchain.com/docs/modules/agents/
Making a Website - Part 1 | Module 4
https://www.youtube.com/watch?v=qnAD2P76YxE [7:33]
(intro to Hugging Face library Gradio)
Making a Website - Part 2 | Module 4
https://www.youtube.com/watch?v=cn7OmJQS1SI [4:46]
(futzing around with Hugging Face and Gradio websites)
Making a Website - Part 3 | Module 4 [8:31]
https://www.youtube.com/watch?v=u188e2LKdC8
(going through Week 4 Jupyter notebook)
Interview with John Keefe | Module 4
https://www.youtube.com/watch?v=Q7GIEh47Rls
Interview with Freddy Boulton | Module 4
https://www.youtube.com/watch?v=gavp14FR38Y
https://colab.research.google.com/drive/1RQVyHHaEzYLyJqXpeI7-Ujq9r_DSHW4-
https://python.langchain.com/docs/modules/data_connection
https://python.langchain.com/docs/modules/data_connection/document_loaders/pdf
https://python.langchain.com/docs/modules/data_connection/document_loaders/csv
(This is slightly different than the link in video/course.)
https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers
https://python.langchain.com/docs/modules/data_connection/vectorstores/
There's also a Hugging Face Discourse/Discord?