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Tag: llm

  • Simon Willison’s Weblog: Using S3 triggers to maintain a list of files in DynamoDB

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/19/s3-triggers/#atom-everything Source: Simon Willison’s Weblog Title: Using S3 triggers to maintain a list of files in DynamoDB Feedly Summary: Using S3 triggers to maintain a list of files in DynamoDB I built an experimental prototype this morning of a system for efficiently tracking files that have been added to a large S3 bucket…

  • Hacker News: Show HN: Mastra – Open-source TypeScript agent framework

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    Kurt Seifried
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    Source URL: https://github.com/mastra-ai/mastra Source: Hacker News Title: Show HN: Mastra – Open-source TypeScript agent framework Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Mastra, a TypeScript framework designed to facilitate the rapid development of AI applications. It emphasizes key functionalities such as LLM model integration, agent systems, workflows, and retrieval-augmented generation…

  • 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…

  • Hacker News: OpenArc – Lightweight Inference Server for OpenVINO

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    Kurt Seifried
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    Source URL: https://github.com/SearchSavior/OpenArc Source: Hacker News Title: OpenArc – Lightweight Inference Server for OpenVINO Feedly Summary: Comments AI Summary and Description: Yes **Summary:** OpenArc is a lightweight inference API backend optimized for leveraging hardware acceleration with Intel devices, designed for agentic use cases and capable of serving large language models (LLMs) efficiently. It offers a…

  • Hacker News: SWE-Lancer: a benchmark of freelance software engineering tasks from Upwork

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.12115 Source: Hacker News Title: SWE-Lancer: a benchmark of freelance software engineering tasks from Upwork Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces SWE-Lancer, a benchmark designed to evaluate large language models’ capability in performing freelance software engineering tasks. It is relevant for AI and software security professionals as…

  • Hacker News: My LLM codegen workflow ATM

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    Kurt Seifried
    in

    Source URL: https://harper.blog/2025/02/16/my-llm-codegen-workflow-atm/ Source: Hacker News Title: My LLM codegen workflow ATM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a comprehensive guide on using LLMs (Large Language Models) for software development, detailing a structured workflow that encompasses idea generation, planning, execution, and testing. It addresses both greenfield projects and existing…

  • Cloud Blog: BigQuery ML is now compatible with open-source gen AI models

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/run-open-source-llms-on-bigquery-ml/ Source: Cloud Blog Title: BigQuery ML is now compatible with open-source gen AI models Feedly Summary: BigQuery Machine Learning allows you to use large language models (LLMs), like Gemini, to perform tasks such as entity extraction, sentiment analysis, translation, text generation, and more on your data using familiar SQL syntax. Today, we…

  • 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…