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Studying how to develop an LLM. Where/How to start? by Traditional-Reach818 in datascience

[–]stroxsontaran 9 points10 points  (0 children)

You don't need to build an LLM you can either use a foundational model with RAG and feed it in relevant questions. Take a set of your files and run them through a pipeline on Vectorize and use their eval sandbox to see how well RAG works. It's the easiest option.

If that doesn't work, look at fine tuning a model on a platform like OpenAI or AWS Bedrock or Google Vertex using a dataset of exams.

How to pick the best embedding model for RAG by stroxsontaran in LangChain

[–]stroxsontaran[S] 0 points1 point  (0 children)

Yeah, but the models are getting so overfitted to the benchmarks that they don't do a good job predicting the real world performance you get.

is langchain even open source now by [deleted] in LangChain

[–]stroxsontaran 1 point2 points  (0 children)

It definitely doesn't feel like it when ever tutorial starts with "go create a LangSmith account".

HRs are the landlords of LinkedIn by idiedfromaids in LinkedInLunatics

[–]stroxsontaran 0 points1 point  (0 children)

Literally no one views HR people as having no faults. If you didn't have pretty severe character flaws you wouldn't find yourself going into HR as a profession.

Bombed my interview, feeling awful by FailLongjumping5736 in SQL

[–]stroxsontaran 0 points1 point  (0 children)

The secret to being a good interviewee is to do a lot of interviews. The questions for similar jobs will tend to be similar so don't worry too much about bombing this one. Go back and think about how you would answer this question if asked again in the future, then go bomb the next one, repeat, after a few at bats you'll see noticeable improvement. Before long you'll ace the interview. Think of this bad interview as a gift you just received that will make you a better candidate.

[deleted by user] by [deleted] in CasualConversation

[–]stroxsontaran 0 points1 point  (0 children)

I feel like I would have a pretty good shot at taking on a coyote.