Tag: Large Language Models (LLMs)

  • Simon Willison’s Weblog: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL!

    Source URL: https://simonwillison.net/2025/Jan/27/qwen25-vl-qwen25-vl-qwen25-vl/ Source: Simon Willison’s Weblog Title: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL! Feedly Summary: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL! Hot on the heels of yesterday’s Qwen2.5-1M, here’s Qwen2.5 VL (with an excitable announcement title) – the latest in Qwen’s series of vision LLMs. They’re releasing multiple versions: base models and instruction tuned…

  • Hacker News: Show HN: I Created ErisForge, a Python Library for Abliteration of LLMs

    Source URL: https://github.com/Tsadoq/ErisForge Source: Hacker News Title: Show HN: I Created ErisForge, a Python Library for Abliteration of LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces ErisForge, a Python library designed for modifying Large Language Models (LLMs) through alterations of their internal layers. This tool allows researchers and developers to…

  • Hacker News: How DeepSeek-R1 Was Built, for Dummies

    Source URL: https://www.vellum.ai/blog/the-training-of-deepseek-r1-and-ways-to-use-it Source: Hacker News Title: How DeepSeek-R1 Was Built, for Dummies Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses DeepSeek’s innovative approach to training reasoning models through pure reinforcement learning (RL) without labeled data. This breakthrough could significantly impact the development of AI, particularly in the realm of large…

  • The Register: Tech stocks tank as US AI dominance no longer a sure bet

    Source URL: https://www.theregister.com/2025/01/27/tech_stocks_tank_as_us/ Source: The Register Title: Tech stocks tank as US AI dominance no longer a sure bet Feedly Summary: Chinese startup DeepSeek rolls out open LLMs to rival Meta, OpenAI at fraction of cost Share prices for some of the biggest American tech brands that crested the AI hype waves crashed this morning…

  • Hacker News: Announcing support for DeepSeek-R1 in our IDE plugin, self-hosted by Qodo

    Source URL: https://www.qodo.ai/blog/qodo-gen-adds-self-hosted-support-for-deepseek-r1/ Source: Hacker News Title: Announcing support for DeepSeek-R1 in our IDE plugin, self-hosted by Qodo Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the competitive landscape of large language models (LLMs), particularly focusing on OpenAI’s o1 and DeepSeek’s R1, highlighting their advanced reasoning capabilities. It emphasizes the implications…

  • Simon Willison’s Weblog: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens

    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Simon Willison’s Weblog Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Feedly Summary: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Very significant new release from Alibaba’s Qwen team. Their openly licensed (sometimes Apache 2, sometimes Qwen license, I’ve had trouble keeping…

  • Hacker News: AI Will Write Complex Laws

    Source URL: https://www.lawfaremedia.org/article/ai-will-write-complex-laws Source: Hacker News Title: AI Will Write Complex Laws Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the growing use of artificial intelligence (AI) in legislative processes, highlighting its potential to draft laws and its implications for the balance of power between legislative and executive branches. As legislators…

  • Hacker News: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL

    Source URL: https://arxiv.org/abs/2501.12948 Source: Hacker News Title: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of new language models, DeepSeek-R1 and DeepSeek-R1-Zero, developed to enhance reasoning capabilities in large language models (LLMs) through reinforcement learning. This research represents a significant advancement…

  • Slashdot: AI Mistakes Are Very Different from Human Mistakes

    Source URL: https://slashdot.org/story/25/01/23/1645242/ai-mistakes-are-very-different-from-human-mistakes?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Mistakes Are Very Different from Human Mistakes Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the unpredictable nature of errors made by AI systems, particularly large language models (LLMs). It highlights the inconsistency and confidence with which LLMs produce incorrect results, suggesting that this impacts…

  • Simon Willison’s Weblog: LLM 0.20

    Source URL: https://simonwillison.net/2025/Jan/23/llm-020/#atom-everything Source: Simon Willison’s Weblog Title: LLM 0.20 Feedly Summary: LLM 0.20 New release of my LLM CLI tool and Python library. A bunch of accumulated fixes and features since the start of December, most notably: Support for OpenAI’s o1 model – a significant upgrade from o1-preview given its 200,000 input and 100,000…