Experimental News Clipping Site

Tag: Prompt Engine

  • CSA: Using AI Effectively: An Intro to Prompt Engineering

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    Kurt Seifried
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    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…

  • Hacker News: AI Engineer Reading List

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    Kurt Seifried
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    Source URL: https://www.latent.space/p/2025-papers Source: Hacker News Title: AI Engineer Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text focuses on providing a curated reading list for AI engineers, particularly emphasizing recent advancements in large language models (LLMs) and related AI technologies. It is a practical guide designed to enhance the knowledge…

  • Hacker News: AI founders will learn The Bitter Lesson

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    Kurt Seifried
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    Source URL: https://lukaspetersson.github.io/blog/2025/bitter-vertical/ Source: Hacker News Title: AI founders will learn The Bitter Lesson Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text provides an in-depth analysis of the historical patterns in AI development, particularly highlighting the pitfalls of constrained AI solutions versus the benefits of leveraging computation for flexible,…

  • The Register: AI can improve on code it writes, but you have to know how to ask

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    Kurt Seifried
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    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…

  • Simon Willison’s Weblog: Can LLMs write better code if you keep asking them to “write better code”?

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    system automation
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    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 –…

  • Hacker News: Can LLMs write better code if you keep asking them to "write better code"?

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    system automation
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    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…

  • Hacker News: Empirical Study of Test Generation with LLM’s

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    system automation
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    Source URL: https://arxiv.org/abs/2406.18181 Source: Hacker News Title: Empirical Study of Test Generation with LLM’s Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper evaluates the use of Large Language Models (LLMs) for automating unit test generation in software development, focusing on open-source models. It emphasizes the importance of prompt engineering and the advantages…

  • Hacker News: How to make LLMs shut up

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    system automation
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    Source URL: https://www.greptile.com/blog/make-llms-shut-up Source: Hacker News Title: How to make LLMs shut up Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the challenges and solutions encountered while developing an AI-powered code review bot, particularly focusing on the issue of excessive and often unhelpful comments generated by large language models (LLMs). The…

  • Cloud Blog: Optimizing RAG retrieval: Test, tune, succeed

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval/ Source: Cloud Blog Title: Optimizing RAG retrieval: Test, tune, succeed Feedly Summary: Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be…

  • Hacker News: New LLM optimization technique slashes memory costs up to 75%

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    Source URL: https://venturebeat.com/ai/new-llm-optimization-technique-slashes-memory-costs-up-to-75/ Source: Hacker News Title: New LLM optimization technique slashes memory costs up to 75% Feedly Summary: Comments AI Summary and Description: Yes Summary: Researchers at Sakana AI have developed a novel technique called “universal transformer memory” that enhances the efficiency of large language models (LLMs) by optimizing their memory usage. This innovation…