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render out two videos from neural networks on tiny datasets to test new method of capture & pipeline #mused
increased download volume of datasets #sponsorgap as asked by customer
finally commit lots of data fetching improvements #checkoutpage
more AI story writing. Also, getting a better handle on what various versions of Llama2 can handle.
Improve LoRA training #melies
Pruned superfluous MachineLearning models from database #useattractor
Upload more data for models training (DS course project) #zg
Finalize the LLM for code generation
#checkyourlist Improve data saving
Built the internal data publishing pipeline for completed connector runs #connectify
📝 prototyped an llm-ollama plugin tonight. models list and it talks to the right places. prompts need more work.
Go through mlab data
finish saving of training data #misc
more fun with LLAMA2 and figuring out how to better control/predict stable output
complete team models for #homestretch. ready to write the batch processing command.
Adapt data loading routine to use DB in DS course project ML model #zg
migrate results to file store #optimizetoolset