Tag: optimization
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The Register: AI can improve on code it writes, but you have to know how to ask
Source URL: https://www.theregister.com/2025/01/07/ai_can_write_improved_code_research/ Source: The Register Title: AI can improve on code it writes, but you have to know how to ask Feedly Summary: LLMs do more for developers who already know what they’re doing Large language models (LLMs) will write better code if you ask them, though it takes some software development experience to…
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The Register: Can AWS really fix AI hallucination? We talk to head of Automated Reasoning Byron Cook
Source URL: https://www.theregister.com/2025/01/07/interview_with_aws_byron_cook/ Source: The Register Title: Can AWS really fix AI hallucination? We talk to head of Automated Reasoning Byron Cook Feedly Summary: Engineer who works on ways to prove code’s mathematically correct finds his field’s suddenly much less obscure Interview A notable flaw of AI is its habit of “hallucinating," making up plausible…
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CSA: Navigating Cloud Challenges with Repatriation
Source URL: https://www.dqindia.com/business-solutions/navigating-cloud-challenges-with-repatriation-7597784 Source: CSA Title: Navigating Cloud Challenges with Repatriation Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the growing trend of cloud repatriation as organizations reevaluate their cloud strategies in light of rising costs, security concerns, regulatory compliance, and performance requirements. With the increasing adoption of public cloud services, enterprises…
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Simon Willison’s Weblog: Can LLMs write better code if you keep asking them to “write better code”?
Source URL: https://simonwillison.net/2025/Jan/3/asking-them-to-write-better-code/ Source: Simon Willison’s Weblog Title: Can LLMs write better code if you keep asking them to “write better code”? Feedly Summary: Can LLMs write better code if you keep asking them to “write better code”? Really fun exploration by Max Woolf, who started with a prompt requesting a medium-complexity Python challenge –…
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Hacker News: Can LLMs write better code if you keep asking them to "write better code"?
Source URL: https://minimaxir.com/2025/01/write-better-code/ Source: Hacker News Title: Can LLMs write better code if you keep asking them to "write better code"? Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text presents an extensive exploration of using large language models (LLMs), specifically Claude 3.5 Sonnet, for code optimization. It discusses various…
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Hacker News: Notes on the New Deepseek v3
Source URL: https://composio.dev/blog/notes-on-new-deepseek-v3/ Source: Hacker News Title: Notes on the New Deepseek v3 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release of Deepseek’s v3 model, a 607B mixture-of-experts model that showcases exceptional performance, surpassing both open-source and proprietary competitors at a significantly lower training cost. It highlights the engineering…
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Hacker News: Cloud Efficiency at Netflix
Source URL: https://netflixtechblog.com/cloud-efficiency-at-netflix-f2a142955f83 Source: Hacker News Title: Cloud Efficiency at Netflix Feedly Summary: Comments AI Summary and Description: Yes Short Summary: The text discusses Netflix’s utilization of Amazon Web Services (AWS) to enhance cloud efficiency through a two-component data solution, Foundational Platform Data (FPD) and Cloud Efficiency Analytics (CEA). This approach aims to provide clear…
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Hacker News: DeepSeek-VL2: MoE Vision-Language Models for Advanced Multimodal Understanding
Source URL: https://github.com/deepseek-ai/DeepSeek-VL2 Source: Hacker News Title: DeepSeek-VL2: MoE Vision-Language Models for Advanced Multimodal Understanding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces DeepSeek-VL2, a series of advanced Vision-Language Models designed to improve multimodal understanding. With competitive performance across various tasks, these models leverage a Mixture-of-Experts architecture for efficiency. This is…