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 Yaël 🛸

Yaël 🛸

@yael

building @ thecompaniesapi.com opensource @ github.com/tahul
169
Nantes, France
Joined May 2024
Done200 Projects3 Posts Comments2 Media Stats Following9 Followers10
#thecompaniesapi get my branch up to date with latest work from @LeCoupa and switch back to llama on critical parts ; also launch extraction of an exhaustive list of all our industries for a customer
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#thecompaniesapi roasting the marketing plan & discuss the next steps with @LeCoupa
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#thecompaniesapi port back my ai wrapper improvements on our existing llama stack and prepare fine tuning for phi3
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#thecompaniesapi port back my ai wrapper improvements on our existing llama stack and prepare fine tuning for phi3
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#thecompaniesapi start working on fine tuning as phi3 cannot stop hallucinating even though its a lot faster, heard it would possibly change everything for our usecase so its worth trying
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#thecompaniesapi improve the dx of our AI flows so we have faster feedback loop in development, noticed it was making me lazy that i had to wait for app rebuild to rerun everything
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#thecompaniesapi convert and start trying ocr model to not only read but also extract data from website visuals
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#thecompaniesapi phi iterations again ; Crisp release party :)
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#thecompaniesapi continue work on phi, lots of iterations, kinda exhausted lately
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#thecompaniesapi continue on phi3; hell of a refactor
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#thecompaniesapi work on phi3 again :) continue my search for the best prompt
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#life get a PR merged on bsky.app :)

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#thecompaniesapi watch the data being extracted for our customer ; switch back to phi3 branch again
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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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#life joined bsky.app which feels less like a mind vacuum app than x so far
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#thecompaniesapi lunch with @LeCoupa and try new prompt techniques with phi
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#thecompaniesapi finalize subpages & sitemap extraction, now our bot can filter out sitemap to only visit pages that contains interesting data for our schema
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#thecompaniesapi quantize phi3.5 to 4bit to use it in our inference server; same model size but 128k context length instead of 4k, I can now process huge chunks of texts without relying on batching
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#thecompaniesapi continue on phi3; tryin to create the best possible synthesis of a web page at a low cost
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#thecompaniesapi continue r&d on phi3, trying idea refinement from structured text content, then pipe to inference flow, unknown territories 🤣
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