Tag: web
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Cloud Blog: Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/learn-how-to-create-an-ai-agent-for-trip-planning-with-gemini-1-5-pro/ Source: Cloud Blog Title: Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide Feedly Summary: Gemini 1.5 Pro is creating new possibilities for developers to build AI agents that streamline the customer experience. In this post, we’ll focus on a practical application that has emerged in the…
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Cloud Blog: Boost your Continuous Delivery pipeline with Generative AI
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/boost-your-continuous-delivery-pipeline-with-generative-ai/ Source: Cloud Blog Title: Boost your Continuous Delivery pipeline with Generative AI Feedly Summary: In the domain of software development, AI-driven assistance is emerging as a transformative force to enhance developer experience and productivity and ultimately optimize overall software delivery performance. Many organizations started to leverage AI-based assistants, such as Gemini Code…
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Slashdot: Amazon Doubles Investment in AI Startup Anthropic To $8 Billion
Source URL: https://slashdot.org/story/24/11/22/1552251/amazon-doubles-investment-in-ai-startup-anthropic-to-8-billion Source: Slashdot Title: Amazon Doubles Investment in AI Startup Anthropic To $8 Billion Feedly Summary: AI Summary and Description: Yes Summary: Amazon is doubling down on its investment in AI startup Anthropic with an additional $4 billion, positioning Amazon Web Services as the primary training partner. This partnership highlights the growing significance…
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Simon Willison’s Weblog: Say hello to gemini-exp-1121
Source URL: https://simonwillison.net/2024/Nov/22/gemini-exp-1121/#atom-everything Source: Simon Willison’s Weblog Title: Say hello to gemini-exp-1121 Feedly Summary: Say hello to gemini-exp-1121 Google Gemini’s Logan Kilpatrick on Twitter: Say hello to gemini-exp-1121! Our latest experimental gemini model, with: significant gains on coding performance stronger reasoning capabilities improved visual understanding Available on Google AI Studio and the Gemini API right…
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Simon Willison’s Weblog: Amazon S3 Express One Zone now supports the ability to append data to an object
Source URL: https://simonwillison.net/2024/Nov/22/amazon-s3-append-data/#atom-everything Source: Simon Willison’s Weblog Title: Amazon S3 Express One Zone now supports the ability to append data to an object Feedly Summary: Amazon S3 Express One Zone now supports the ability to append data to an object This is a first for Amazon S3: it is now possible to append data to…
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The Register: Here’s what happens if you don’t layer network security – or remove unused web shells
Source URL: https://www.theregister.com/2024/11/22/cisa_red_team_exercise/ Source: The Register Title: Here’s what happens if you don’t layer network security – or remove unused web shells Feedly Summary: TL;DR: Attackers will break in and pwn you, as a US government red team demonstrated The US Cybersecurity and Infrastructure Agency often breaks into critical organizations’ networks – with their permission,…
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Slashdot: Fintech Giant Finastra Investigating Data Breach
Source URL: https://it.slashdot.org/story/24/11/21/2043251/fintech-giant-finastra-investigating-data-breach Source: Slashdot Title: Fintech Giant Finastra Investigating Data Breach Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant security incident involving Finastra, a fintech firm that supports major banks. The report highlights the alleged theft of over 400 gigabytes of sensitive data from their internal file transfer platform,…
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Hacker News: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders
Source URL: https://github.com/PaulPauls/llama3_interpretability_sae Source: Hacker News Title: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a research project focused on the interpretability of the Llama 3 language model using Sparse Autoencoders (SAEs). This project aims to extract more clearly interpretable features from…