Tag: troubleshooting
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Docker: Docker Desktop 4.38: New AI Agent, Multi-Node Kubernetes, and Bake in GA
Source URL: https://www.docker.com/blog/docker-desktop-4-38/ Source: Docker Title: Docker Desktop 4.38: New AI Agent, Multi-Node Kubernetes, and Bake in GA Feedly Summary: Docker Desktop 4.38 brings Docker AI Agent for real-time help, plus Bake for faster builds and Multi-Node Kubernetes for better testing. Learn more! AI Summary and Description: Yes Summary: The text outlines Docker’s commitment to…
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Cloud Blog: Solve database bottlenecks faster with the latest query insights for Cloud SQL Enterprise Plus
Source URL: https://cloud.google.com/blog/products/databases/new-query-insights-capabilities-for-cloud-sql-enterprise-plus/ Source: Cloud Blog Title: Solve database bottlenecks faster with the latest query insights for Cloud SQL Enterprise Plus Feedly Summary: Cloud SQL Enterprise Plus edition provides high performance and availability for demanding applications with enhanced read and write performance. And high-performance applications often require that you tune the underlying database services. To…
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Hacker News: A step-by-step guide on deploying DeepSeek-R1 671B locally
Source URL: https://snowkylin.github.io/blogs/a-note-on-deepseek-r1.html Source: Hacker News Title: A step-by-step guide on deploying DeepSeek-R1 671B locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed guide for deploying DeepSeek R1 671B AI models locally using ollama, including hardware requirements, installation steps, and observations on model performance. This information is particularly relevant…
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Hacker News: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M
Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Hacker News Title: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M Feedly Summary: Comments AI Summary and Description: Yes Summary: The Qwen 2.5 model release from Alibaba introduces a significant advancement in Large Language Model (LLM) capabilities with its ability to process up to 1 million tokens. This increase in input capacity is made possible through…
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Simon Willison’s Weblog: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens
Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Simon Willison’s Weblog Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Feedly Summary: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Very significant new release from Alibaba’s Qwen team. Their openly licensed (sometimes Apache 2, sometimes Qwen license, I’ve had trouble keeping…
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Enterprise AI Trends: Why AI Agents Feel Scammy, Despite the Impressive Demos
Source URL: https://nextword.substack.com/p/why-ai-agents-feel-useless-despite Source: Enterprise AI Trends Title: Why AI Agents Feel Scammy, Despite the Impressive Demos Feedly Summary: Hint: AI Agents Are Sometimes Not the Right Tool for the Job AI Summary and Description: Yes Summary: The text discusses the evolving role of AI agents in software engineering, emphasizing the transition from human-AI collaboration…
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CSA: Using AI Effectively: An Intro to Prompt Engineering
Source URL: https://cloudsecurityalliance.org/blog/2025/01/15/unlocking-the-power-of-ai-an-intro-to-prompt-engineering Source: CSA Title: Using AI Effectively: An Intro to Prompt Engineering Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the importance of prompt engineering in utilizing Large Language Models (LLMs) effectively, highlighting how tailored prompts can improve the outputs from AI systems. The focus is on crafting clear instructions…