Data Scraping and Vectorization Process
The Real Python Podcast
How do you customize a LLM chatbot to address a coll...
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Apr 5 2024 1h 8m
Chapter 1 2 mins
ndash; IntroductionChapter 2 1 min
ndash; Background on the projectChapter 3 5 mins
ndash; Complexity of adding documentsChapter 4 4 mins
ndash; Retrieval-augmented generation and providing linksChapter 5 4 mins
ndash; Updating information and larger conversation contextChapter 6 34 sec
ndash; Sponsor: MailtrapChapter 7 2 mins
ndash; Working with contextChapter 8 1 min
ndash; Temperature adjustmentChapter 9 4 mins
ndash; Rally Conference Chatbot ProjectChapter 10 6 mins
ndash; Vectorization using ChromaDBChapter 11 2 mins
ndash; Employing Python prompt-toolkitChapter 12 2 mins
ndash; Learning libraries on the flyChapter 13 1 min
ndash; Video Course SpotlightChapter 14 3 mins
ndash; Problems with tables in documentsChapter 15 1 min
ndash; Everything looks like a chat boxChapter 16 4 mins
ndash; Finding the right fit for a client and customerChapter 17 2 mins
ndash; What are questions you ask a new client now?Chapter 18 4 mins
ndash; Canada Air anecdoteChapter 19 4 mins
ndash; How do you stay up to date on these topics?Chapter 20 2 mins
ndash; What are you excited about in the world of Python?Chapter 21 1 min
ndash; What do you want to learn next?Chapter 22 32 sec
ndash; How can people follow your work online?Chapter 23 1 min
ndash; IndyPyChapter 24 59 sec
ndash; Thanks and goodbye