Experimental News Clipping Site

Tag: human feedback

  • Hacker News: Nvidia CEO says his AI chips are improving faster than Moore’s Law

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    Kurt Seifried
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    Source URL: https://techcrunch.com/2025/01/07/nvidia-ceo-says-his-ai-chips-are-improving-faster-than-moores-law/ Source: Hacker News Title: Nvidia CEO says his AI chips are improving faster than Moore’s Law Feedly Summary: Comments AI Summary and Description: Yes Summary: Jensen Huang, CEO of Nvidia, asserts that the performance of the company’s AI chips is advancing at a pace exceeding the historical benchmark of Moore’s Law. This…

  • Simon Willison’s Weblog: Building effective agents

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    system automation
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    Source URL: https://simonwillison.net/2024/Dec/20/building-effective-agents/#atom-everything Source: Simon Willison’s Weblog Title: Building effective agents Feedly Summary: Building effective agents My principal complaint about the term “agents" is that while it has many different potential definitions most of the people who use it seem to assume that everyone else shares and understands the definition that they have chosen to…

  • Cloud Blog: Optimizing RAG retrieval: Test, tune, succeed

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval/ Source: Cloud Blog Title: Optimizing RAG retrieval: Test, tune, succeed Feedly Summary: Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be…

  • Hacker News: Task-Specific LLM Evals That Do and Don’t Work

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    system automation
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    Source URL: https://eugeneyan.com/writing/evals/ Source: Hacker News Title: Task-Specific LLM Evals That Do and Don’t Work Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a comprehensive overview of evaluation metrics for machine learning tasks, specifically focusing on classification, summarization, and translation within the context of large language models (LLMs). It highlights the…

  • Hacker News: Launch HN: Human Layer (YC F24) – Human-in-the-Loop API for AI Systems

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    system automation
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    Source URL: https://news.ycombinator.com/item?id=42247368 Source: Hacker News Title: Launch HN: Human Layer (YC F24) – Human-in-the-Loop API for AI Systems Feedly Summary: Comments AI Summary and Description: Yes Summary: HumanLayer is an API that integrates human feedback and approval processes into AI systems to mitigate risks associated with deploying autonomous AI. This innovative approach allows organizations…

  • Hacker News: Batched reward model inference and Best-of-N sampling

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    Source URL: https://raw.sh/posts/easy_reward_model_inference Source: Hacker News Title: Batched reward model inference and Best-of-N sampling Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in reinforcement learning (RL) models applied to large language models (LLMs), focusing particularly on reward models utilized in techniques like Reinforcement Learning with Human Feedback (RLHF) and dynamic…

  • Hacker News: Using reinforcement learning and $4.80 of GPU time to find the best HN post

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    system automation
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    Source URL: https://openpipe.ai/blog/hacker-news-rlhf-part-1 Source: Hacker News Title: Using reinforcement learning and $4.80 of GPU time to find the best HN post Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of a managed fine-tuning service for large language models (LLMs), highlighting the use of reinforcement learning from human feedback (RLHF)…

  • Schneier on Security: Evaluating the Effectiveness of Reward Modeling of Generative AI Systems

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    system automation
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    Source URL: https://www.schneier.com/blog/archives/2024/09/evaluating-the-effectiveness-of-reward-modeling-of-generative-ai-systems-2.html Source: Schneier on Security Title: Evaluating the Effectiveness of Reward Modeling of Generative AI Systems Feedly Summary: New research evaluating the effectiveness of reward modeling during Reinforcement Learning from Human Feedback (RLHF): “SEAL: Systematic Error Analysis for Value ALignment.” The paper introduces quantitative metrics for evaluating the effectiveness of modeling and aligning…