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Tag: Gemini model

  • 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…

  • Simon Willison’s Weblog: What’s new in the world of LLMs, for NICAR 2025

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/8/nicar-llms/ Source: Simon Willison’s Weblog Title: What’s new in the world of LLMs, for NICAR 2025 Feedly Summary: I presented two sessions at the NICAR 2025 data journalism conference this year. The first was this one based on my review of LLMs in 2024, extended by several months to cover everything that’s happened…

  • Simon Willison’s Weblog: llm-mistral 0.11

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/4/llm-mistral-011/#atom-everything Source: Simon Willison’s Weblog Title: llm-mistral 0.11 Feedly Summary: llm-mistral 0.11 I added schema support to this plugin which adds support for the Mistral API to LLM. Release notes: Support for LLM schemas. #19 -o prefix ‘{‘ option for forcing a response prefix. #18 Schemas now work with OpenAI, Anthropic, Gemini and…

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Cloud Blog: How our partners are enhancing CSP operations with AI solutions

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/telecommunications/the-keys-to-enhancing-telecommunications-operations/ Source: Cloud Blog Title: How our partners are enhancing CSP operations with AI solutions Feedly Summary: The telecommunications industry has always been on the leading edge of technology — but rarely has it been changing as quickly as it is today. Increased 5G adoption, the spread of edge computing, new monetization models,…

  • Cloud Blog: The AI-driven telecom: How we’re powering transformation

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/telecommunications/the-ai-driven-telecom-how-were-powering-transformation/ Source: Cloud Blog Title: The AI-driven telecom: How we’re powering transformation Feedly Summary: AI is driving unprecedented change and evolution across every industry, and the telecommunications sector is at a particularly interesting crossroads: The industry is standardizing on 5G; data is growing exponentially; and customer expectations are quickly changing. Leading communication service…

  • Cloud Blog: Introducing A4X VMs powered by NVIDIA GB200 — now in preview

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/new-a4x-vms-powered-by-nvidia-gb200-gpus/ Source: Cloud Blog Title: Introducing A4X VMs powered by NVIDIA GB200 — now in preview Feedly Summary: The next frontier of AI is reasoning models that think critically and learn during inference to solve complex problems. To train and serve this new class of models, you need infrastructure with the performance and…

  • Cloud Blog: How to use gen AI for better data schema handling, data quality, and data generation

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/how-gemini-in-bigquery-helps-with-data-engineering-tasks/ Source: Cloud Blog Title: How to use gen AI for better data schema handling, data quality, and data generation Feedly Summary: In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema…

  • Simon Willison’s Weblog: Introducing Perplexity Deep Research

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/16/introducing-perplexity-deep-research/#atom-everything Source: Simon Willison’s Weblog Title: Introducing Perplexity Deep Research Feedly Summary: Introducing Perplexity Deep Research Perplexity become the third company to release a product with “Deep Research" in the name. Google’s Gemini Deep Research: Try Deep Research and our new experimental model in Gemini, your AI assistant on December 11th 2024 OpenAI’s…

  • Cloud Blog: Enhance Gemini model security with content filters and system instructions

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/enhance-gemini-model-security-with-content-filters-and-system-instructions/ Source: Cloud Blog Title: Enhance Gemini model security with content filters and system instructions Feedly Summary: As organizations rush to adopt generative AI-driven chatbots and agents, it’s important to reduce the risk of exposure to threat actors who force AI models to create harmful content.   We want to highlight two powerful capabilities…