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How can you solve complex tasks using a Large Language Model? Here is a 2-minute introduction to everything you need to know to 10x the quality of your results. Let's talk about three techniques, in order of complexity, starting with the easiest one: • In-Context Learning • Indexing +... show more
10 条评论

How should I talk about these topics going forward?

What a great video! In fact, you answered a question I had been asking myself last week. Congratulations, Santiago, on such quality content.

Thank you man! I'm glad it was helpful.

Great explanation as always. Although I already know some of the topics you cover, your take on the narration comes with a great taste. Helps me rethink the way I teach/explain the same concepts. Thank you. By the way, I loved that this time it's a video explainer.

Thanks, Emre! Yeah, trying to simplify these concepts for people that aren't too deep into this helps me a lot as well.

Love the text and video format together. You can pick up different info in each format.

When making chunks of a large corp of text, a Pinecone representative told me to use a couple of lines or an entire paragraph as an overlap text that connects one chunk to another, in order to deal with the limit of tokens the models has and make them able to flow along the text.

I have to think about this, but I think it makes sense.

Love the video @svpino !

Thanks, Pau!
