Experimental News Clipping Site

Tag: search functionality

  • Cloud Blog: How SIGNAL IDUNA supercharges customer service with gen AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-signal-iduna-supercharges-customer-service-with-gen-ai/ Source: Cloud Blog Title: How SIGNAL IDUNA supercharges customer service with gen AI Feedly Summary: Today’s insurance customers expect more: simple digital services, instant access to service representatives when they want to discuss personal matters, and quick feedback on submitted invoices. Meeting these demands has become increasingly difficult for insurers due to…

  • Hacker News: Expanding AI Overviews and Introducing AI Mode

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    Kurt Seifried
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    Source URL: https://blog.google/products/search/ai-mode-search/ Source: Hacker News Title: Expanding AI Overviews and Introducing AI Mode Feedly Summary: Comments AI Summary and Description: Yes Summary: Google has enhanced its search functionality with the introduction of Gemini 2.0 and the new AI Mode, aimed at providing users with faster and higher quality responses to complex queries. This upgrade…

  • Simon Willison’s Weblog: LLM 0.22, the annotated release notes

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/17/llm/#atom-everything Source: Simon Willison’s Weblog Title: LLM 0.22, the annotated release notes Feedly Summary: I released LLM 0.22 this evening. Here are the annotated release notes: model.prompt(…, key=) for API keys chatgpt-4o-latest llm logs -s/–short llm models -q gemini -q exp llm embed-multi –prepend X Everything else model.prompt(…, key=) for API keys Plugins…

  • The Register: OpenAI unveils deep research agent for ChatGPT

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/03/openai_unveils_deep_research_agent/ Source: The Register Title: OpenAI unveils deep research agent for ChatGPT Feedly Summary: Takes a bit more time to spout a bit less nonsense OpenAI today launched deep research in ChatGPT, a new agent that takes a little longer to perform a deeper dive into the web to come up with a…

  • Hacker News: Coping with dumb LLMs using classic ML

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    Kurt Seifried
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    Source URL: https://softwaredoug.com/blog/2025/01/21/llm-judge-decision-tree Source: Hacker News Title: Coping with dumb LLMs using classic ML Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an innovative approach to utilizing local LLMs (large language models) to assess product relevance for e-commerce search queries. By collecting data on LLM decisions and comparing them against human…

  • Simon Willison’s Weblog: LLM 0.20

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/23/llm-020/#atom-everything Source: Simon Willison’s Weblog Title: LLM 0.20 Feedly Summary: LLM 0.20 New release of my LLM CLI tool and Python library. A bunch of accumulated fixes and features since the start of December, most notably: Support for OpenAI’s o1 model – a significant upgrade from o1-preview given its 200,000 input and 100,000…

  • Hacker News: Homomorphic Encryption in iOS 18

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    Kurt Seifried
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    Source URL: https://boehs.org/node/homomorphic-encryption Source: Hacker News Title: Homomorphic Encryption in iOS 18 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an in-depth analysis of Apple’s use of homomorphic encryption to protect user privacy while enhancing the search functionality in the Photos app. It contrasts conventional encryption methods with homomorphic encryption, emphasizing…

  • Cloud Blog: Unlock multimodal search at scale: Combine text & image power with Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/combine-text-image-power-with-vertex-ai/ Source: Cloud Blog Title: Unlock multimodal search at scale: Combine text & image power with Vertex AI Feedly Summary: The way users search is evolving. When searching for a product, users might type in natural-sounding language or search with images. In return, they want tailored results that are specific to their query.…