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#thecompaniesapi early LLM results are bonkers but the qop/s are relatively slow; setting up results storage to train smaller models; one step at a time
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#thecompaniesapi mind blown by early LLM pipeline results ; being a noob in such subject is so fascinating
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#thecompaniesapi start a new customer dataset extraction, also tried to run our new LLM on a way smaller GPU with success :)
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evaluate an LLM experiment to clean up my blog #aiplay #blog2
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study Stanford’s Alpaca instruction model finetuning for LLaMA source data #life
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nlp pipeline refactoring work 6 hours #consulting
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Read [Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters](arxiv.org/pdf/2408.03314)
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improve #mirage SSE API so that we can stream more than LLM output chunks and provide JSON data for new secret #crisp product
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listing pipeline #alertbnb
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Upload pending datasets to S3 (Data Science course) #zg
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got actually working dataset for clv #ml4all
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Ran some local LLM tests 🤖
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Chunk dataset big files and import to DB (Data Science project) #zg
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cache recs for longer to save on model inference costs #pango
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talk about LLM finetuning and Alpaca and ChatGPT being just instruct-text model #life fxtwitter.com/levelsio/status…
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research lambda and how to update data quickly with new setup
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listing pipeline tweaks #alertbnb
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Fix broken pipeline for #ipregistry dataset samples
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workflow optimization #webscape
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apply for Groq.com, hyperfast LLM gen API #therapistai
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