Tag: human-in-the-loop
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Cloud Blog: Companies achieve stronger results with Customer Engagement Suite, plus new AI-enabled capabilities
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/customer-engagement-suite-stronger-results-and-new-ai-features/ Source: Cloud Blog Title: Companies achieve stronger results with Customer Engagement Suite, plus new AI-enabled capabilities Feedly Summary: The demands for top-notch customer service have never been greater — but so are the rewards for those companies that can deliver on the promise. Indeed, organizations with higher customer loyalty scores have delivered…
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Hacker News: Launch HN: Cenote (YC W25) – Back Office Automation for Medical Clinics
Source URL: https://news.ycombinator.com/item?id=43280836 Source: Hacker News Title: Launch HN: Cenote (YC W25) – Back Office Automation for Medical Clinics Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Cenote, a company using AI to streamline referral intake for medical clinics by automating data extraction and insurance verification processes. This innovation is particularly…
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The Cloudflare Blog: Making Cloudflare the best platform for building AI Agents
Source URL: https://blog.cloudflare.com/build-ai-agents-on-cloudflare/ Source: The Cloudflare Blog Title: Making Cloudflare the best platform for building AI Agents Feedly Summary: Today we’re excited to share a few announcements on how we’re making it even easier to build AI agents on Cloudflare. AI Summary and Description: Yes Summary: The text delves into the advancements and framework released…
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Simon Willison’s Weblog: AI mistakes are very different from human mistakes
Source URL: https://simonwillison.net/2025/Jan/21/ai-mistakes-are-very-different-from-human-mistakes/#atom-everything Source: Simon Willison’s Weblog Title: AI mistakes are very different from human mistakes Feedly Summary: AI mistakes are very different from human mistakes An entertaining and informative read by Bruce Schneier and Nathan E. Sanders. If you want to use an AI model to help with a business problem, it’s not enough…
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Chip Huyen: Common pitfalls when building generative AI applications
Source URL: https://huyenchip.com//2025/01/16/ai-engineering-pitfalls.html Source: Chip Huyen Title: Common pitfalls when building generative AI applications Feedly Summary: As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case…
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Hacker News: Ocular AI (YC W24) Is Hiring
Source URL: https://www.ycombinator.com/companies/ocular-ai/jobs/BFBHWQd-member-of-technical-staff-founding-backend-engineer Source: Hacker News Title: Ocular AI (YC W24) Is Hiring Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into Ocular AI, a data annotation engine designed for generative AI, computer vision, and enterprise AI models. This is particularly relevant for professionals in AI and cloud computing due…
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Hacker News: AI and the Last Mile 2: Subsidiarity
Source URL: https://hollisrobbinsanecdotal.substack.com/p/ai-and-the-last-mile-2 Source: Hacker News Title: AI and the Last Mile 2: Subsidiarity Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the principle of subsidiarity in relation to AI systems, emphasizing the importance of local knowledge and expertise in decision-making processes. It critiques the limitations of large centralized AI models,…