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Tag: Qwen

  • Hacker News: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M

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    Kurt Seifried
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    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…

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

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    Kurt Seifried
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    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: Supercharge vector search with ColBERT rerank in PostgreSQL

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    Kurt Seifried
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    Source URL: https://blog.vectorchord.ai/supercharge-vector-search-with-colbert-rerank-in-postgresql Source: Hacker News Title: Supercharge vector search with ColBERT rerank in PostgreSQL Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses ColBERT, an innovative method for vector search that enhances search accuracy by representing text as token-level multi-vectors rather than sentence-level embeddings. This approach retains nuanced information and improves…

  • Hacker News: Official DeepSeek R1 Now on Ollama

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    Kurt Seifried
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    Source URL: https://ollama.com/library/deepseek-r1 Source: Hacker News Title: Official DeepSeek R1 Now on Ollama Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an overview of DeepSeek’s first-generation reasoning models that exhibit performance comparable to OpenAI’s offerings across math, code, and reasoning tasks. This information is highly relevant for practitioners in AI and…

  • Hacker News: DeepSeek-R1-Distill-Qwen-1.5B Surpasses GPT-4o in certain benchmarks

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    Kurt Seifried
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    Source URL: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B Source: Hacker News Title: DeepSeek-R1-Distill-Qwen-1.5B Surpasses GPT-4o in certain benchmarks Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the introduction of DeepSeek-R1 and DeepSeek-R1-Zero, first-generation reasoning models that utilize large-scale reinforcement learning without prior supervised fine-tuning. These models exhibit significant reasoning capabilities but also face challenges like endless…

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

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    Kurt Seifried
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    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…

  • Hacker News: DeepSeek-R1

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    Kurt Seifried
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    Source URL: https://github.com/deepseek-ai/DeepSeek-R1 Source: Hacker News Title: DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents advancements in AI reasoning models, specifically DeepSeek-R1-Zero and DeepSeek-R1, emphasizing the unique approach of training solely through large-scale reinforcement learning (RL) without initial supervised fine-tuning. These models demonstrate significant reasoning capabilities and highlight breakthroughs in…

  • Simon Willison’s Weblog: Codestral 25.01

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/13/codestral-2501/ Source: Simon Willison’s Weblog Title: Codestral 25.01 Feedly Summary: Codestral 25.01 Brand new code-focused model from Mistral. Unlike the first Codestral this one isn’t (yet) available as open weights. The model has a 256k token context – a new record for Mistral. The new model scored an impressive joint first place with…

  • Hacker News: Killed by LLM

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    Source URL: https://r0bk.github.io/killedbyllm/ Source: Hacker News Title: Killed by LLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a methodology for documenting benchmarks related to Large Language Models (LLMs), highlighting the inconsistencies among various performance scores. This is particularly relevant for professionals in AI security and LLM security, as it…

  • Simon Willison’s Weblog: Weeknotes: Starting 2025 a little slow

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    Source URL: https://simonwillison.net/2025/Jan/4/weeknotes/#atom-everything Source: Simon Willison’s Weblog Title: Weeknotes: Starting 2025 a little slow Feedly Summary: I published my review of 2024 in LLMs and then got into a fight with most of the internet over the phone microphone targeted ads conspiracy theory. In my last weeknotes I talked about how December in LLMs has…