Cloud Security Alliance News Clipping Site

Tag: text generation

  • Cloud Blog: Boost your Continuous Delivery pipeline with Generative AI

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    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…

  • Hacker News: Something weird is happening with LLMs and chess

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    Source URL: https://dynomight.substack.com/p/chess Source: Hacker News Title: Something weird is happening with LLMs and chess Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses experimental attempts to make large language models (LLMs) play chess, revealing significant variability in performance across different models. Notably, while models like GPT-3.5-turbo-instruct excelled in chess play, many…

  • Cloud Blog: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-deploy-llama-3-2-1b-instruct-model-with-google-cloud-run/ Source: Cloud Blog Title: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU Feedly Summary: As open-source large language models (LLMs) become increasingly popular, developers are looking for better ways to access new models and deploy them on Cloud Run GPU. That’s why Cloud Run now offers fully managed NVIDIA…

  • Cloud Blog: Data loading best practices for AI/ML inference on GKE

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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improve-data-loading-times-for-ml-inference-apps-on-gke/ Source: Cloud Blog Title: Data loading best practices for AI/ML inference on GKE Feedly Summary: As AI models increase in sophistication, there’s increasingly large model data needed to serve them. Loading the models and weights along with necessary frameworks to serve them for inference can add seconds or even minutes of scaling…

  • Schneier on Security: Watermark for LLM-Generated Text

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    Source URL: https://www.schneier.com/blog/archives/2024/10/watermark-for-llm-generated-text.html Source: Schneier on Security Title: Watermark for LLM-Generated Text Feedly Summary: Researchers at Google have developed a watermark for LLM-generated text. The basics are pretty obvious: the LLM chooses between tokens partly based on a cryptographic key, and someone with knowledge of the key can detect those choices. What makes this hard…

  • Cloud Blog: We tested Intel’s AMX CPU accelerator for AI. Here’s what we learned

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    Source URL: https://cloud.google.com/blog/products/identity-security/we-tested-intels-amx-cpu-accelerator-for-ai-heres-what-we-learned/ Source: Cloud Blog Title: We tested Intel’s AMX CPU accelerator for AI. Here’s what we learned Feedly Summary: At Google Cloud, we believe that cloud computing will increasingly shift to private, encrypted services where users can be confident that their software and data are not being exposed to unauthorized actors. In support…

  • Hacker News: The Prompt() Function: Use the Power of LLMs with SQL

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    Source URL: https://motherduck.com/blog/sql-llm-prompt-function-gpt-models/ Source: Hacker News Title: The Prompt() Function: Use the Power of LLMs with SQL Feedly Summary: Comments AI Summary and Description: Yes Summary: The introduction of the prompt() function allows users to integrate small language models (SLMs) like OpenAI’s gpt-4o-mini into SQL queries, significantly improving the accessibility and functionality of large language…

  • Wired: The Hottest Startups in Paris in 2024

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    Source URL: https://www.wired.com/story/the-hottest-startups-in-paris-in-2024/ Source: Wired Title: The Hottest Startups in Paris in 2024 Feedly Summary: The French capital has become the home of Europe’s growing AI industry—but alongside giants like Mistral are startups building EV charging infrastructure and trying to revolutionize social media. AI Summary and Description: Yes Summary: The text discusses the burgeoning AI…

  • Hacker News: LLMs Will Always Hallucinate, and We Need to Live with This

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    Source URL: https://arxiv.org/abs/2409.05746 Source: Hacker News Title: LLMs Will Always Hallucinate, and We Need to Live with This Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper discusses the inherent limitations of Large Language Models (LLMs), asserting that hallucinations are an inevitable result of their fundamental design. The authors argue that these hallucinations…