Tag: reasoning processes
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OpenAI : Deliberative alignment: reasoning enables safer language models
Source URL: https://openai.com/index/deliberative-alignment Source: OpenAI Title: Deliberative alignment: reasoning enables safer language models Feedly Summary: Deliberative alignment: reasoning enables safer language models Introducing our new alignment strategy for o1 models, which are directly taught safety specifications and how to reason over them. AI Summary and Description: Yes Summary: The text discusses a new alignment strategy…
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Wired: OpenAI Upgrades Its Smartest AI Model With Improved Reasoning Skills
Source URL: https://www.wired.com/story/openai-o3-reasoning-model-google-gemini/ Source: Wired Title: OpenAI Upgrades Its Smartest AI Model With Improved Reasoning Skills Feedly Summary: A day after Google announced its first model capable of reasoning over problems, OpenAI has upped the stakes with an improved version of its own. AI Summary and Description: Yes Summary: OpenAI has launched its new AI…
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Hacker News: DeepThought-8B: A small, capable reasoning model
Source URL: https://www.ruliad.co/news/introducing-deepthought8b Source: Hacker News Title: DeepThought-8B: A small, capable reasoning model Feedly Summary: Comments AI Summary and Description: Yes Summary: The release of DeepThought-8B marks a significant advancement in AI reasoning capabilities, emphasizing transparency and control in how models process information. This AI reasoning model, built on the LLaMA-3.1 architecture, showcases how smaller,…
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Hacker News: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
Source URL: https://arxiv.org/abs/2410.09918 Source: Hacker News Title: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a new model called Dualformer, which effectively integrates fast and slow cognitive reasoning processes to enhance the performance and efficiency of large language models (LLMs).…
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Wired: Apple Engineers Show How Flimsy AI ‘Reasoning’ Can Be
Source URL: https://arstechnica.com/ai/2024/10/llms-cant-perform-genuine-logical-reasoning-apple-researchers-suggest/ Source: Wired Title: Apple Engineers Show How Flimsy AI ‘Reasoning’ Can Be Feedly Summary: The new frontier in large language models is the ability to “reason” their way through problems. New research from Apple says it’s not quite what it’s cracked up to be. AI Summary and Description: Yes Summary: The study…
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Hacker News: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Source URL: https://arxiv.org/abs/2410.05229 Source: Hacker News Title: Understanding the Limitations of Mathematical Reasoning in Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a study on the mathematical reasoning capabilities of Large Language Models (LLMs), highlighting their limitations and introducing a new benchmark, GSM-Symbolic, for more effective evaluation. This…
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Hacker News: Deductive Verification for Chain-of-Thought Reasoning in LLMs
Source URL: https://arxiv.org/abs/2306.03872 Source: Hacker News Title: Deductive Verification for Chain-of-Thought Reasoning in LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the deductive verification of chain-of-thought reasoning in large language models (LLMs). It addresses the challenges inherent in using CoT prompting, notably the risk of hallucinations and errors, and proposes…