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#thecompaniesapi tests are over; phi3 is what we need; dropping lots of python code in favor of a single inference process to govern them all
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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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#thecompaniesapi few iterations on our ai flows, trying phi3
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cache recs for longer to save on model inference costs #pango
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#thecompaniesapi continue working on phi3 ; first steps of subdomain support & association ; rewrite most of our AI impl
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play with different inference settings to make deployment more efficient #ai
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#thecompaniesapi continue on phi3; hell of a refactor
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#thecompaniesapi improving results from phi3 is a tedious task, but if it pays off we get rid of a ton of problems
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deploy new #photoai multi depth model with more samplers and textual inversions
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export ~5000 crisp conversations and topic model #mused
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Create DB dataframes for faster inference
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Learned how quantization works! #llms
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#thecompaniesapi maintenance on the bot ; send back test csv to a big ai company that want to use our api ; start migration to phi3 for ou AI stack
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Finished home AI server build: 2 x 2697v2, 128 GB ram, 2 x Nvidia Tesla P40 24 GB gpus. #2markdown
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transform complicated incoming data to internal model. we're getting there #edu
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#thecompaniesapi big LLM results from our pipeline now gets saved as json files to prepare datasets for our own models ; optimizing the queue does not seem to be a finite task
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start to build in-house AI inference API & job manager #crisp
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Determine which LLM quantization to use
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Integrate local whisper models for voice to text #fridaygpt
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explore streaming data in chunks #imessage
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