Tag: large language model
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Docker: Docker Model Runner General Availability
Source URL: https://www.docker.com/blog/announcing-docker-model-runner-ga/ Source: Docker Title: Docker Model Runner General Availability Feedly Summary: We’re excited to share that Docker Model Runner is now generally available (GA)! In April 2025, Docker introduced the first Beta release of Docker Model Runner, making it easy to manage, run, and distribute local AI models (specifically LLMs). Though only a…
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The Register: China’s DeepSeek applying trial-and-error learning to its AI ‘reasoning’
Source URL: https://www.theregister.com/2025/09/18/chinas_deepseek_ai_reasoning_research/ Source: The Register Title: China’s DeepSeek applying trial-and-error learning to its AI ‘reasoning’ Feedly Summary: Model can also explain its answers, researchers find Chinese AI company DeepSeek has shown it can improve the reasoning of its LLM DeepSeek-R1 through trial-and-error based reinforcement learning, and even be made to explain its reasoning on…
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Scott Logic: Greener AI – what matters, what helps, and what we still do not know
Source URL: https://blog.scottlogic.com/2025/09/16/greener-ai-lit-review.html Source: Scott Logic Title: Greener AI – what matters, what helps, and what we still do not know Feedly Summary: We recently undertook a literature review about the environmental impact of AI, across carbon, energy, and water. It offers practical strategies for teams to reduce impact today, while highlighting the gaps in…
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Slashdot: OpenAI’s First Study On ChatGPT Usage
Source URL: https://slashdot.org/story/25/09/15/2151235/openais-first-study-on-chatgpt-usage?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI’s First Study On ChatGPT Usage Feedly Summary: AI Summary and Description: Yes Summary: The text provides insights from a groundbreaking National Bureau of Economic Research working paper that analyzes usage data for ChatGPT, revealing significant demographic trends and behavioral patterns among users. This data is particularly relevant for…
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Unit 42: The Risks of Code Assistant LLMs: Harmful Content, Misuse and Deception
Source URL: https://unit42.paloaltonetworks.com/code-assistant-llms/ Source: Unit 42 Title: The Risks of Code Assistant LLMs: Harmful Content, Misuse and Deception Feedly Summary: We examine security weaknesses in LLM code assistants. Issues like indirect prompt injection and model misuse are prevalent across platforms. The post The Risks of Code Assistant LLMs: Harmful Content, Misuse and Deception appeared first…
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Tomasz Tunguz: How AI Tools Differ from Human Tools
Source URL: https://www.tomtunguz.com/tools-evolution/ Source: Tomasz Tunguz Title: How AI Tools Differ from Human Tools Feedly Summary: Now that we’ve compressed nearly all human knowledge into large language models, the next frontier is tool calling. Chaining together different AI tools enables automation. The shift from thinking to doing represents the real breakthrough in AI utility. I’ve…