Tag: language model
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Hacker News: DeepSeek-V3
Source URL: https://github.com/deepseek-ai/DeepSeek-V3 Source: Hacker News Title: DeepSeek-V3 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces DeepSeek-V3, a significant advancement in language model technology, showcasing its innovative architecture and training techniques designed for improving efficiency and performance. For AI, cloud, and infrastructure security professionals, the novel methodologies and benchmarks presented can…
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Hacker News: AIs Will Increasingly Fake Alignment
Source URL: https://thezvi.substack.com/p/ais-will-increasingly-fake-alignment Source: Hacker News Title: AIs Will Increasingly Fake Alignment Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses significant findings from a research paper by Anthropic and Redwood Research on “alignment faking” in large language models (LLMs), particularly focusing on the model named Claude. The results reveal how AI…
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Simon Willison’s Weblog: Quoting Paige Bailey
Source URL: https://simonwillison.net/2024/Dec/24/paige-bailey/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Paige Bailey Feedly Summary: it’s really hard not to be obsessed with these tools. It’s like having a bespoke, free, (usually) accurate curiosity-satisfier in your pocket, no matter where you go – if you know how to ask questions, then suddenly the world is an audiobook…
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Irrational Exuberance: Wardley mapping the LLM ecosystem.
Source URL: https://lethain.com/wardley-llm-ecosystem/ Source: Irrational Exuberance Title: Wardley mapping the LLM ecosystem. Feedly Summary: In How should you adopt LLMs?, we explore how a theoretical ride sharing company, Theoretical Ride Sharing, should adopt Large Language Models (LLMs). Part of that strategy’s diagnosis depends on understanding the expected evolution of the LLM ecosystem, which we’ve build…
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Simon Willison’s Weblog: Finally, a Replacement for BERT: Introducing ModernBERT
Source URL: https://simonwillison.net/2024/Dec/24/modernbert/ Source: Simon Willison’s Weblog Title: Finally, a Replacement for BERT: Introducing ModernBERT Feedly Summary: Finally, a Replacement for BERT: Introducing ModernBERT BERT was an early language model released by Google in October 2018. Unlike modern LLMs it wasn’t designed for generating text. BERT was trained for masked token prediction and was generally…
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Slashdot: New Physics Sim Trains Robots 430,000 Times Faster Than Reality
Source URL: https://hardware.slashdot.org/story/24/12/24/022256/new-physics-sim-trains-robots-430000-times-faster-than-reality?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: New Physics Sim Trains Robots 430,000 Times Faster Than Reality Feedly Summary: AI Summary and Description: Yes Short Summary: The text discusses the unveiling of Genesis, an advanced open-source computer simulation system that enables robots to practice tasks at vastly accelerated speeds. This technology could significantly enhance AI training…
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Hacker News: Why are we using LLMs as calculators?
Source URL: https://vickiboykis.com/2024/11/09/why-are-we-using-llms-as-calculators/ Source: Hacker News Title: Why are we using LLMs as calculators? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges and motivations behind using large language models (LLMs) for mathematical reasoning and calculations. It highlights the historical context of computing and the evolution of tasks from simple…
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Hacker News: New physics SIM trains robots 430k times faster than reality
Source URL: https://arstechnica.com/information-technology/2024/12/new-physics-sim-trains-robots-430000-times-faster-than-reality/ Source: Hacker News Title: New physics SIM trains robots 430k times faster than reality Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents the launch of Genesis, an advanced open-source computer simulation system for robotics, which allows for immensely accelerated learning through simulated reality. It highlights the integration of…