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Building an LLM Open-Source Search Engine in 100 Lines
| | www.paepper.com
Build a Q&A bot of your website content with langchain :: Päpper's Machine Learning Blog - This blog features state of the ar...
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| | If you want to learn how to create embeddings of your website and how to use a question answering bot to answer questions which are covered by your website, then you are in the right spot. The Github repository which contains all the code of this blog entry can be found here. It was trending on Hacker news on March 22nd and you can check out the disccussion here. We will approach this goal as follows:
| | scriv.ai
How do domain-specific chatbots work? An Overview of Retrieval Augmented Generation (RAG) | Scriv
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| | Demystifying and deconstructing Q&A bots that work over your data.
| | www.ethanrosenthal.com
Do you actually need a vector database? | Ethan Rosenthal
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| | Spoiler alert: the answer is maybe! Although, my inclusion of the word "actually" betrays my bias. Vector databases are having their day right now. Three different vector DB companies have raised money on valuations up to $700 million (paywall link). Surprisingly, their rise in popularity is not for their "original" purpose in recommendation systems, but rather as an auxillary tool for Large Language Models (LLMs). Many online examples of combining embeddings with LLMs will show you how they store the em...
| | www.philschmid.de
Extended Guide: Instruction-tune Llama 2
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| This blog post is an extended guide on instruction-tuning Llama 2 from Meta AI