Experimental News Clipping Site

Tag: Llama-3.1

  • Simon Willison’s Weblog: deepseek-ai/DeepSeek-R1-0528

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/31/deepseek-aideepseek-r1-0528/ Source: Simon Willison’s Weblog Title: deepseek-ai/DeepSeek-R1-0528 Feedly Summary: deepseek-ai/DeepSeek-R1-0528 Sadly the trend for terrible naming of models has infested the Chinese AI labs as well. DeepSeek-R1-0528 is a brand new and much improved open weights reasoning model from DeepSeek, a major step up from the DeepSeek R1 they released back in January.…

  • Cisco Security Blog: Foundation-sec-8b: Cisco Foundation AI’s First Open-Source Security Model

    —

    by

    Kurt Seifried
    in

    Source URL: https://feedpress.me/link/23535/17017450/foundation-sec-cisco-foundation-ai-first-open-source-security-model Source: Cisco Security Blog Title: Foundation-sec-8b: Cisco Foundation AI’s First Open-Source Security Model Feedly Summary: Foundation AI’s first release — Llama-3.1-FoundationAI-SecurityLLM-base-8B — is designed to improve response time, expand capacity, and proactively reduce risk. AI Summary and Description: Yes Summary: The introduction of Foundation AI’s Llama-3.1-FoundationAI-SecurityLLM-base-8B represents a significant advancement in the…

  • Hacker News: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf]

    —

    by

    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2502.03860 Source: Hacker News Title: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf] Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces BOLT, a method designed to enhance the reasoning capabilities of large language models (LLMs) by generating long chains of thought (LongCoT) without relying on knowledge distillation. The…

  • Simon Willison’s Weblog: DeepSeek-R1 and exploring DeepSeek-R1-Distill-Llama-8B

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/20/deepseek-r1/ Source: Simon Willison’s Weblog Title: DeepSeek-R1 and exploring DeepSeek-R1-Distill-Llama-8B Feedly Summary: DeepSeek are the Chinese AI lab who dropped the best currently available open weights LLM on Christmas day, DeepSeek v3. That model was trained in part using their unreleased R1 “reasoning" model. Today they’ve released R1 itself, along with a whole…

  • Cloud Blog: Announcing the general availability of Trillium, our sixth-generation TPU

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…

  • Hacker News: DeepThought-8B: A small, capable reasoning model

    —

    by

    system automation
    in

    Source URL: https://www.ruliad.co/news/introducing-deepthought8b Source: Hacker News Title: DeepThought-8B: A small, capable reasoning model Feedly Summary: Comments AI Summary and Description: Yes Summary: The release of DeepThought-8B marks a significant advancement in AI reasoning capabilities, emphasizing transparency and control in how models process information. This AI reasoning model, built on the LLaMA-3.1 architecture, showcases how smaller,…

  • Hacker News: Something weird is happening with LLMs and chess

    —

    by

    system automation
    in

    Source URL: https://dynomight.substack.com/p/chess Source: Hacker News Title: Something weird is happening with LLMs and chess Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses experimental attempts to make large language models (LLMs) play chess, revealing significant variability in performance across different models. Notably, while models like GPT-3.5-turbo-instruct excelled in chess play, many…

  • Hacker News: WebRL: Training LLM Web Agents via Self-Evolving Online Reinforcement Learning

    —

    by

    system automation
    in

    Source URL: https://arxiv.org/abs/2411.02337 Source: Hacker News Title: WebRL: Training LLM Web Agents via Self-Evolving Online Reinforcement Learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces WebRL, a novel framework that employs self-evolving online curriculum reinforcement learning to enhance the training of large language models (LLMs) as web agents. This development is…

  • Simon Willison’s Weblog: Nous Hermes 3

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Nov/4/nous-hermes-3/#atom-everything Source: Simon Willison’s Weblog Title: Nous Hermes 3 Feedly Summary: Nous Hermes 3 The Nous Hermes family of fine-tuned models have a solid reputation. Their most recent release came out in August, based on Meta’s Llama 3.1: Our training data aggressively encourages the model to follow the system and instruction prompts exactly…

  • Hacker News: Meta’s Open Source NotebookLM

    —

    by

    system automation
    in

    Source URL: https://github.com/meta-llama/llama-recipes/tree/main/recipes/quickstart/NotebookLlama Source: Hacker News Title: Meta’s Open Source NotebookLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a comprehensive guide to using an open-source project called NotebookLlama, aimed at creating a workflow that converts PDF documents into podcasts using various LLMs (Large Language Models). This process is likely to…