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Tag: artificial-intelligence

WeightWatcher, HTSR theory, and the Renormalization Group

There is a deep connection between the open-source weightwatcher tool, which implements ideas from the theory of Heavy Tailed Self-Regularization … More

AI, artificial-intelligence, Deep Learning, llms, physics

Fine-Tuned Llama3.2: Bad Instructions ?

Recently, Meta released LLama3.2 1B and 3B Instruct Fine Tuned LLM. To mixed reviews. On the one hand, it’s ranking … More

AI, artificial-intelligence, llm, machine learning, technology

SVDSmoothing LLM Layers with WeightWatcher

Recently, Microsoft Research published the LASER method: ”Layer-Selective Rank Reduction” in this recent, very popular paper The Truth is in There: … More

AI, artificial-intelligence, DATA SCIENCE, llm, machine learning

Evaluating LLMs with WeightWatcher Part III: The Magic of Mistral, a Story of Dragon Kings

Recently, the Mistral models have taken the LLM world by storm. The Mistral Mixture of Experts (MOE) 8x7b model outperforms other … More

AI, artificial-intelligence, llm, machine learning, python

Evaluating Fine-Tuned LLMs with WeightWatcher

if you are fine-tuning your own LLMs, you need a way to evaluate them. And while there are over a dozen … More

AI, artificial-intelligence, generative-ai, llm, machine learning

Recent Posts

  • WW-PGD: Projected Gradient Descent optimizer
  • WeightWatcher, HTSR theory, and the Renormalization Group
  • Fine-Tuned Llama3.2: Bad Instructions ?
  • What’s instructive about Instruct Fine-Tuning: a weightwatcher analysis
  • Describing Double Descent with WeightWatcher

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