Cool! Use Qwen to write the blog posts?
LLMS
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ILLUME: Enhancing LLMs with Vision and Self-Improvement
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ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance https://
arxiv.org/pdf/2412.06673 -
LLM Review Manipulation: Covert Content Injection Exploits
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experiments show that injecting covert deliberate content into manuscripts allows authors to explicitly manipulate LLM reviews, leading to inflated ratings and reduced alignment with human reviews.
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LLM Risks in Scholarly Peer Review Revealed
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Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review https://
arxiv.org/pdf/2412.01708 https://
rui-ye.github.io/BadLLMReviewer -

LLM Agents Production: Architectures, Challenges Best Practices
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LLM Agents in Production: Architectures, Challenges, and Best Practices – ZenML Blog https://
bit.ly/4gGcPtW
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
WordPress categories for AI topics
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The numbers are from ARC Prize, in the quoted post (two quotes down)
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No Need for Databases in LLM Pretraining Due to Embedding Changes
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I don't think you need databases to pretrain LLMs because you can basically throw out the embedding database after each batch since the embedding layer changes after each training iteration.
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GPT-2 Foundation with Llama 3 Advanced Implementation Guide
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The book is GPT-2 based, which is more beginner friendly. The Llama 3 code is bonus material. (It makes sense to implement GPT-2 first and than convert that to Llama 3 imho.) Llama 3 is dense, not an MoE though.
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Running DeepSeek on Mobile via Apollo and OpenRouter
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all of the models on there are open source but deep seek is too big to run on the phone. you can use Apollo to connect to openrouter to use deepseek though