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Tag: DeepSeek

  • Simon Willison’s Weblog: Codestral 25.01

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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…

  • 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…

  • Hacker News: Notes on the New Deepseek v3

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    Source URL: https://composio.dev/blog/notes-on-new-deepseek-v3/ Source: Hacker News Title: Notes on the New Deepseek v3 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release of Deepseek’s v3 model, a 607B mixture-of-experts model that showcases exceptional performance, surpassing both open-source and proprietary competitors at a significantly lower training cost. It highlights the engineering…

  • Hacker News: DeepSeek-VL2: MoE Vision-Language Models for Advanced Multimodal Understanding

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    Source URL: https://github.com/deepseek-ai/DeepSeek-VL2 Source: Hacker News Title: DeepSeek-VL2: MoE Vision-Language Models for Advanced Multimodal Understanding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces DeepSeek-VL2, a series of advanced Vision-Language Models designed to improve multimodal understanding. With competitive performance across various tasks, these models leverage a Mixture-of-Experts architecture for efficiency. This is…

  • Simon Willison’s Weblog: Things we learned out about LLMs in 2024

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    Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/#atom-everything Source: Simon Willison’s Weblog Title: Things we learned out about LLMs in 2024 Feedly Summary: A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying…

  • Hacker News: Interesting Interview with DeepSeek’s CEO

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    Source URL: https://www.chinatalk.media/p/deepseek-ceo-interview-with-chinas Source: Hacker News Title: Interesting Interview with DeepSeek’s CEO Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text centers on Deepseek, a Chinese AI startup that has distinguished itself by developing models that surpass OpenAI’s in performance while maintaining a commitment to open-source principles. The startup demonstrates a unique approach…

  • Hacker News: I Run LLMs Locally

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    Source URL: https://abishekmuthian.com/how-i-run-llms-locally/ Source: Hacker News Title: I Run LLMs Locally Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how to set up and run Large Language Models (LLMs) locally, highlighting hardware requirements, tools, model choices, and practical insights on achieving better performance. This is particularly relevant for professionals focused on…

  • Hacker News: Show HN: DeepSeek v3 – A 671B parameter AI Language Model

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    Source URL: https://deepseekv3.org/ Source: Hacker News Title: Show HN: DeepSeek v3 – A 671B parameter AI Language Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the capabilities of DeepSeek v3, highlighting its advanced architecture and proficiency in various tasks such as text generation and code completion, which are particularly relevant…

  • Hacker News: Running DeepSeek V3 671B on M4 Mac Mini Cluster

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    Source URL: https://blog.exolabs.net/day-2 Source: Hacker News Title: Running DeepSeek V3 671B on M4 Mac Mini Cluster Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into the performance of the DeepSeek V3 model on Apple Silicon, especially in terms of its efficiency and speed compared to other models. It discusses the…

  • Slashdot: Chinese Firm Trains Massive AI Model for Just $5.5 Million

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    Source URL: https://slashdot.org/story/24/12/27/0420235/chinese-firm-trains-massive-ai-model-for-just-55-million Source: Slashdot Title: Chinese Firm Trains Massive AI Model for Just $5.5 Million Feedly Summary: AI Summary and Description: Yes Summary: The release of DeepSeek V3, a powerful open-source language model developed by a Chinese AI startup, signifies a noteworthy achievement in AI research. This model is trained with significantly lower computational…