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The Axolotl job was reviewed for supporting various dataset formats for instruction tuning and LLM pre-education.
TextGrad: @dair_ai observed TextGrad is a new framework for automatic differentiation via backpropagation on textual feedback provided by an LLM. This improves individual components as well as natural language really helps to enhance the computation graph.
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Latent Space Regularization in AEs: A thread mentioned how to incorporate sound in autoencoder embeddings, suggesting including Gaussian sound on to the encoded output. Users debated around the requirement of regularization and batch normalization to avoid embeddings from scaling uncontrollably.
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