Full research, more videos: https://
repo-sam.inria.fr/fungraph/hiera
rchical-3d-gaussians/
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MACHINE LEARNING
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Hierarchical 3D Gaussians: Research and Videos Available
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PhD Research on Improving LLMs Zero-Shot Task Adaptation
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Happening today! PhD researcher Nihal V. Nayak will explain his research into how to improve large language models’ zero-shot task adaptation on users’ specialized, private data faster than ever. Sign up here: https://
buff.ly/3JFtOhR -

Microsoft bans US police from facial recognition AI
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Microsoft bans US police departments from using enterprise AI tool for facial recognition
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AI language models may predict multiple tokens at once
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The future of AI language models may lie in predicting beyond the next word: Multi-Token Prediction Studies suggest that the human brain predicts multiple words at once when understanding language, utilizing both semantic and syntactic information for broader predictions – now
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Long Context Evaluation: Jamba vs Mixtral Performance Comparison
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Because we focused on long context, we took the L-eval versions of the datasets and also turned them to 3-shot format to challenge with longer context handling. Mixtral's performance was measured in the same setting as Jamba.
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Deep Understanding of Fine-tuning in AI Models
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Same here The best I've seen are loose explanations that fine-tuning is better for setting things like the tone of the response or teaching the model new styles of output – or helping with problems like questions-to-SQL I want deeper understanding than that
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LoRA Fine-Tuning Chatbot Demo: Proof of Concept Needed
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So far I haven't had a single reply that has linked me to a demo of a chatbot that has used LoRA fine-tuning to learn something new I want to believe it works! But I need to see it working
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ML NLP LLMs RAG Tips Daily Newsletter
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If you’re interested in:
– ML/NLP
– LLMs
– RAG Connect with me → @Saboo_Shubham_ My Newsletter → http://
unwindai.substack.com Everyday, I share tip & tutorials on above topics on X and my newsletter. -
Fine-tuning for Knowledge: Challenging Current Mental Models
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Yeah they did – I'm looking for anything that can challenge my current mental model that fine-tuning for extra knowledge isn't worthwhile
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Tiktoken Tokenization: Why Not Handle Unknown Characters Gracefully?
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Something I don't understand here is that surely it would make sense to maintain the ability to tokenize as a sequence of integer characters representing the pieces that make up that string, rather than throwing an error? Any idea why tiktoken doesn't do that?