I just sent another 50 messages as soon as the limit for 'o3-mini-high' was lifted, and once again, I received a message saying that it would reset tomorrow.
LLMS
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Using vLLM with Llama 8B GGUF for Local Backend
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backend can be anything. im using vllm with llama 8b gguf locally
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Nvidia Powers French Le Chat AI to Challenge ChatGPT DeepSeek
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AI war heats up: #Nvidia powers French ‘le Chat’ to take on #ChatGPT, #DeepSeek https://
interestingengineering.com/innovation/nvi
dia-powers-french-le-chat?utm_source=twitter&utm_medium=article_post
… #DeepSeekR1 #deepseekai #OpenAI #ChatGPT #chatgpt4 #Gemini #claude #GrokAI #LLM #LLMs #generativai #AI #GenAI #artificial_intelligence #Tech4All #technology -
Value of Observing Raw Chain of Thought Process
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Yeah, agree, I can't quite pinpoint why but watching the raw chain of thought is a great experience
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LLMs in Senior Leadership: Practical Daily Work Integration Tips
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Leveraging LLMs In Day-To-Day Work: Tips For Senior Leaders
by Pawel Rzeszucinski @Forbes Learn more: https://
buff.ly/42lN5PU #ArtificialIntelligence #MachineLearning #ML #Tech #Technology cc: @yuhelenyu @miketamir @JimMarous -
Language Models Lack Physical Grounding for Scientific Discovery
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Text knowledge is not sufficient for scientific discovery. Language models lack physical grounding. They only have a high level of understanding but cannot simulate physical phenomena. Image and video models focus on "looking good" vs. being physically valid. We’re teaching
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LIMO: Mathematical Reasoning Emerges From Few Examples
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LIMO: Less is More for Reasoning LIMO challenges the belief that complex reasoning requires vast datasets, showing that mathematical reasoning abilities can emerge with just a few examples. It achieves high accuracy on benchmarks with only 817 training samples. Problem:
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Inference-Time Compute Improves Adversarial Robustness
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Trading Inference-Time Compute for Adversarial Robustness This paper explores how increasing inference-time compute improves the adversarial robustness of reasoning models (OpenAI o1-preview and o1-mini) without adversarial training. Problem: Adversarial attacks remain a major
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Long Chain-of-Thought Reasoning Emergence in LLMs
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Demystifying Long Chain-of-Thought Reasoning in LLMs This paper investigates the emergence of long chain-of-thought (CoT) reasoning in LLMs, focusing on factors that enable structured reasoning strategies like backtracking and error correction. It analyzes the role of supervised
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DeepRAG: Adaptive Retrieval for Large Language Models
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DeepRAG: Thinking to Retrieval Step by Step for Large Language Models DeepRAG enhances retrieval-augmented generation (RAG) by modeling reasoning as a Markov Decision Process (MDP), enabling adaptive retrieval and improving answer accuracy. Problem: LLMs struggle with factual