David Thrower

# On the Generative model proof of concept: Add system telemetry using MlFlow system metrics. - I want to collect metrics on the CPU / GPU and RAM pressure, etc....

Make an alternate API that mimics CerebrosSimpleRandomSearch but uses Optuna TPEsampler(multivariate=True) instead of random selections.

# Dev branch - Create a working branch to hold this vanilla scale NLP generative proof of concept that may be used in the future for CICD testing, while its...

From #230 Test out a simulated Voxel layer as an output.

#When text generation POC is complete and ready to merge in, add credits to the training data sources in readme.md ## Datasets being used thus far: - https://archive.org/details/holy-bible-king-james-version-without-chapters-verses-footnotes_202307 ## Candidates...

Copy #229 and scale up params for a real HPO run.

# The problem - Unfortunately, we can't use a separate dataset for the x and y args for tf.keras.Model.fit(). - This makes us unable to run this on out of...

first-pass-optimization-of-pico-scale-generative-model-0001

1

# From #212 (Optimizations to proof of concept generative model) - [x] Manual first pass optimizations of the projection layers after the embedding. (e.g. parameterize it) - [x] Fix logic...

parent-issue-for-generative-ai-model

1

# A comprehensive list of issues needed to solve to develop a generative loop from our text classification model. ## Don't create a branch or merge from this. The individual...