Tag: language
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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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CSA: How to Defend Against DGA-Based Attacks
Source URL: https://www.zscaler.com/cxorevolutionaries/insights/understanding-domain-generation-algorithms-dgas Source: CSA Title: How to Defend Against DGA-Based Attacks Feedly Summary: AI Summary and Description: Yes **Summary**: This text provides an in-depth exploration of Domain Generation Algorithms (DGAs), a sophisticated method utilized by malware developers for communication with command and control (C2) servers. It highlights the challenges they pose for detection and…
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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: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens
Source URL: https://qwenlm.github.io/blog/qwen2.5-1m/ Source: Hacker News Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reports on the new release of the open-source Qwen2.5-1M models, capable of processing up to one million tokens, significantly improving inference speed and model performance…
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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…