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render out two videos from neural networks on tiny datasets to test new method of capture & pipeline #mused
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increased download volume of datasets #sponsorgap as asked by customer
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finally commit lots of data fetching improvements #checkoutpage
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more AI story writing. Also, getting a better handle on what various versions of Llama2 can handle.
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Improve LoRA training #melies
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Pruned superfluous MachineLearning models from database #useattractor
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Upload more data for models training (DS course project) #zg
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test LLM Studio #life
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Finalize the LLM for code generation
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#checkyourlist Improve data saving
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make script to add Docker training output ZIP to models.db because before today we didn’t save it yet on training completion #photoai
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Built the internal data publishing pipeline for completed connector runs #connectify
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📝 prototyped an llm-ollama plugin tonight. models list and it talks to the right places. prompts need more work.
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Go through mlab data
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finish saving of training data #misc
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more fun with LLAMA2 and figuring out how to better control/predict stable output
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complete team models for #homestretch. ready to write the batch processing command.
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Adapt data loading routine to use DB in DS course project ML model #zg
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migrate results to file store #optimizetoolset
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