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LangChain intro – practice LLM on set of pdf information



Practice a Giant Language Mannequin (LLM) on a set of pdf information to then ask questions in regards to the content material. On this instance, we’re coaching on instruction paperwork on tips on how to file taxes, to then ask particular questions on tax filings.
Discover ways to use the LangChain bundle to construct/practice the suitable index.

code pocket book:
https://github.com/ScientificCoding/scientific-coding/blob/6ac85feda03f524a3b0edfd73244fc61a1398217/lectures/2023-04-09/langchain%20-%20train%20LLM%20to%20answer%20tax%20questions.ipynb

Disclaimer:

Observe: OpenAI gives a free API key for preliminary testing. As soon as you progress to a paid subscription, calling the API in the best way demonstrated on this instance will incur financial expenses. Confer with OpenAI’s pricing data for particulars.

Bear in mind that data, comparable to information to coach OpenAI’s LLM can turn into public if utilized in the best way this demo demonstrates. Confer with OpenAI’s utilization coverage for particulars.

Don’t use for precise tax submitting functions. This demo is for instructional functions solely and for demonstrating machine studying strategies. The writer makes no claims that the outcomes proven right here or any outcomes that may very well be produced by this technique are correct or dependable.

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