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change fine tuning strategy and data structure and play with new fine tuned model #reva
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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 tracking events to Tamber.com for training ai for upcoming #mj recommend engine.
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do backend work on #crisp for new ai features
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finally commit lots of data fetching improvements #checkoutpage
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research Open AI model fine tuning for reviews tagging #reva
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#thecompaniesapi pushing towards new schema implementation ; still working on containerizing the whole infra to improve stability ; enable user/team tagged jobs for credits consumption
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working on #crisp chatbot auto-ai responses using imported data sources on a #crisp website, finally so qualitative that we can build upon it
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Work on #nichewit, pull in production datasets to iterate bit faster locally
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#thecompaniesapi associates meal ; put back online one of our bots ; fully implement k/v temp storage for our jobs ; continuing work on signals feature
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more improvements to the performance #coinlistr
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test out more ai stuff
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#thecompaniesapi working towards signal again ; preparing events logging system and list actions feature that can track jobs from client requests inside our bot and bill them
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big improvements on client dataviz
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hacking on new AI side project
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#thecompaniesapi fix some tests ; update seeds to be compatible with AI search
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Improve ai feature for #checkyourlist
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create bots to collect data early on
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Try OpenAI Fine-tune
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