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create training set for gpt-3 fine tuning #reva
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add more data to airtable to keep improving fine tuned classification model #reva
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play with system prompts and chatGPT API to see if we can replace fine-tuned model #reva
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keep improving training DB for gpt-fine-tuning #reva
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start filling training data for GPT-3 fine tuning #reva
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test new fine tunned model and update all classifications to it #reva
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Ask ChatGPT ( chat.openai.com/g/g-MoIEVFM2O… ) what to work on next #wip
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Work on new classifier
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change fine tuning strategy and data structure and play with new fine tuned model #reva
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research Open AI model fine tuning for reviews tagging #reva
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Replace one of the test datasets for one that shows more interesting results (DS course) #zg
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added more curated datasets to #sponsorgap
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Prepare datasets for demo
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Upload more data for models training (DS course project) #zg
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Try OpenAI Fine-tune
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work on #crisp ai features improvements
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#thecompaniesapi subdomains support ready for merge ; swap efforts back on AI to start creating the datasets ; added new extractions steps last missing main table datapoints, we can now fill all our columns with combination of website + ai extraction! next step fine tuning
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Work on #nichewit, pull in production datasets to iterate bit faster locally
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added curated datasets to #sponsorgap
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fine-tune gpt4 for analysis #cappy
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