Tag: large language model
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Hacker News: Using AI for Coding: My Journey with Cline and Large Language Models
Source URL: https://pgaleone.eu/ai/coding/2025/01/26/using-ai-for-coding-my-experience/ Source: Hacker News Title: Using AI for Coding: My Journey with Cline and Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the author’s experience in utilizing AI tools, specifically LLMs, for enhancing the design and development processes of a SaaS platform. It emphasizes the transformative…
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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…
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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…
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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…
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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…
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Simon Willison’s Weblog: Anomalous Tokens in DeepSeek-V3 and r1
Source URL: https://simonwillison.net/2025/Jan/26/anomalous-tokens-in-deepseek-v3-and-r1/#atom-everything Source: Simon Willison’s Weblog Title: Anomalous Tokens in DeepSeek-V3 and r1 Feedly Summary: Anomalous Tokens in DeepSeek-V3 and r1 Glitch tokens (previously) are tokens or strings that trigger strange behavior in LLMs, hinting at oddities in their tokenizers or model weights. Here’s a fun exploration of them across DeepSeek v3 and R1.…
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Hacker News: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M
Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Hacker News Title: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M Feedly Summary: Comments AI Summary and Description: Yes Summary: The Qwen 2.5 model release from Alibaba introduces a significant advancement in Large Language Model (LLM) capabilities with its ability to process up to 1 million tokens. This increase in input capacity is made possible through…
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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…