LLMs mimic understanding through embeddings, representing text and images as numerical arrays for comparison, not comprehension. This concept is central to image synthesis models like Dalle, revealing how machines interpret our image requests.
LLMS
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Large Language Models Excel at Numerical Comparisons, Not True Understanding
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Here's the mechanics behind our interactions with machines. Large language models like GPT-4 excel in numerical comparisons, not actual language understanding, as they convert words into math.
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Poe: LLM Wrapper for OpenAI and Other Models
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Poe is a wrapper for LLMs, including those from OpenAI.
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Unknown Researcher’s Breakthrough at OpenAI Challenges Academic Expectations
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now seems as good a time as ever to remind people that the biggest breakthroughs at OpenAI came from a previously unknown researcher with a bachelors degree from olin college of engineering
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Model Merging and Layer Count Expansion Research
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Yeah there's plenty of lit on model merging in general, and IIRC it's always looking at fine-tunes from a common base — but I've not seen any papers about increasing layer counts like this.
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Yi-34B: Chinese company fine-tunes model for Chinese evals
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This is an Yi-34B fine-tune, which does very well on Chinese evals and is trained on lots of Chinese text. It's created by a Chinese company.
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LLM Security Risks and Best Practices Guide
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Learn about the common risks associated with #LLMs and best practices for ensuring your LLM-enabled applications are secure. https://
nvda.ws/3R39o6I -

Ray AI Runtime Simplifies LLM Fine-Tuning at Scale
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With Ray AI Runtime, fine-tuning #LLMs is a breeze By enabling simple scaling of workloads, workflows, and frameworks, Ray AI Runtime simplifies the ecosystem of ML frameworks, platforms, and tools. Check out these use cases https://
bit.ly/496kBdD -

Making History with LLMs and Generative Models
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How to make history with LLMs & other generative models https://
leighmariebraswell.substack.com/p/how-to-make-
history-with-llms-and?utm_source=substack&utm_medium=email
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#AI #MachineLearning #DeepLearning #LLMs #DataScience