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I don't think it's a huge lift to restrict a language model to "known" good facts from search results. And to have it cite sources. I made a proof of concept
by vikp 4y ago
I don't think it's a huge lift to restrict a language model to "known" good facts from search results. And to have it cite sources.
I made a proof of concept this weekend - https://github.com/VikParuchuri/researcher https://github.com/VikParuchuri/researcher . There are some issues, but it's very useful.
- hooande 4y agoFascinating. This isn't at all how ChatGPT works. You're not leveraging the scale of the internet + style transfer to provide answers. Instead it's doing text summarization on search results. It's a very clever proof of concept. Not exactly a large language model.
- vikp 4y agoIt's doing abstractive summarization over the search results, using GPT-3. The pipeline is: - Search using Google - Run some filters to exclude SEO spam, etc. - Scrape the pages that are returned - Find chunks of text likely to align with the answer (comparing embeddings) - Feed the most likely chunks into GPT-3 to get a summary It is leveraging GPT-3 to produce better summaries, and it isn't purely extractive - the LLM uses context and knowledge to generate a better summary. I want to experiment with a local model next, versus using GPT-3.