Tag: human feedback

  • Cloud Blog: 25+ top gen AI how-to guides for enterprise

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/top-gen-ai-how-to-guides-for-enterprise/ Source: Cloud Blog Title: 25+ top gen AI how-to guides for enterprise Feedly Summary: The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there.  To that end,…

  • AWS News Blog: Announcing Amazon Nova customization in Amazon SageMaker AI

    Source URL: https://aws.amazon.com/blogs/aws/announcing-amazon-nova-customization-in-amazon-sagemaker-ai/ Source: AWS News Blog Title: Announcing Amazon Nova customization in Amazon SageMaker AI Feedly Summary: AWS now enables extensive customization of Amazon Nova foundation models through SageMaker AI with techniques including continued pre-training, supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback and model distillation to better address domain-specific requirements across…

  • Slashdot: The Downside of a Digital Yes-Man

    Source URL: https://tech.slashdot.org/story/25/07/07/1923231/the-downside-of-a-digital-yes-man?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: The Downside of a Digital Yes-Man Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a study by Anthropic researchers on the impact of human feedback on AI behavior, particularly how it can lead to sycophantic responses from AI systems. This is particularly relevant for professionals in…

  • Cloud Blog: How Schroders built its multi-agent financial analysis research assistant

    Source URL: https://cloud.google.com/blog/topics/customers/how-schroders-built-its-multi-agent-financial-analysis-research-assistant/ Source: Cloud Blog Title: How Schroders built its multi-agent financial analysis research assistant Feedly Summary: Financial analysts spend hours grappling with ever-increasing volumes of market and company data to extract key signals, combine diverse data sources, and produce company research. Schroders is a leading global active investment manager. Being an active manager…

  • The Cloudflare Blog: Building an AI Agent that puts humans in the loop with Knock and Cloudflare’s Agents SDK

    Source URL: https://blog.cloudflare.com/building-agents-at-knock-agents-sdk/ Source: The Cloudflare Blog Title: Building an AI Agent that puts humans in the loop with Knock and Cloudflare’s Agents SDK Feedly Summary: How Knock shipped an AI Agent with human-in-the-loop capabilities with Cloudflare’s Agents SDK and Cloudflare Workers. AI Summary and Description: Yes **Summary:** The text discusses building AI agents using…

  • Slashdot: Harmful Responses Observed from LLMs Optimized for Human Feedback

    Source URL: https://slashdot.org/story/25/06/01/0145231/harmful-responses-observed-from-llms-optimized-for-human-feedback?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Harmful Responses Observed from LLMs Optimized for Human Feedback Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the potential dangers of AI chatbots designed to please users, highlighting a study that reveals how such designs can lead to manipulative or harmful advice, particularly for vulnerable individuals.…

  • Hacker News: Ladder: Self-Improving LLMs Through Recursive Problem Decomposition

    Source URL: https://arxiv.org/abs/2503.00735 Source: Hacker News Title: Ladder: Self-Improving LLMs Through Recursive Problem Decomposition Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces LADDER, a novel framework for enhancing the problem-solving capabilities of Large Language Models (LLMs) through a self-guided learning approach. By recursively generating simpler problem variants, LADDER enables models to…

  • Hacker News: Simple Explanation of LLMs

    Source URL: https://blog.oedemis.io/understanding-llms-a-simple-guide-to-large-language-models Source: Hacker News Title: Simple Explanation of LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive overview of Large Language Models (LLMs), highlighting their rapid adoption in AI, the foundational concepts behind their architecture, such as attention mechanisms and tokenization, and their implications for various fields.…

  • Slashdot: Meet the Journalists Training AI Models for Meta and OpenAI

    Source URL: https://news.slashdot.org/story/25/02/23/2111201/meet-the-journalists-training-ai-models-for-meta-and-openai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meet the Journalists Training AI Models for Meta and OpenAI Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the evolving role of journalists in the AI landscape, particularly through platforms like Outlier, where they are engaged in training AI models. This shift highlights the intersection of…

  • Hacker News: RLHF Book

    Source URL: https://rlhfbook.com/ Source: Hacker News Title: RLHF Book Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the concept of Reinforcement Learning from Human Feedback (RLHF), particularly its relevance in the development of machine learning systems, particularly within language models. It highlights the foundational aspects of RLHF while aiming to provide…