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Tag: prompt-engineering

  • Simon Willison’s Weblog: ChatGPT Operator system prompt

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/26/chatgpt-operator-system-prompt/#atom-everything Source: Simon Willison’s Weblog Title: ChatGPT Operator system prompt Feedly Summary: ChatGPT Operator system prompt Johann Rehberger snagged a copy of the ChatGPT Operator system prompt. As usual, the system prompt doubles as better written documentation than any of the official sources. It asks users for confirmation a lot: ## Confirmations Ask…

  • Simon Willison’s Weblog: Anthropic’s new Citations API

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/24/anthropics-new-citations-api/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic’s new Citations API Feedly Summary: Here’s a new API-only feature from Anthropic that requires quite a bit of assembly in order to unlock the value: Introducing Citations on the Anthropic API. Let’s talk about what this is and why it’s interesting. Citations for Retrieval Augmented Generation…

  • 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…

  • 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: What we learned copying all the best code assistants

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    Source URL: https://simonwillison.net/2025/Jan/4/what-we-learned-copying-all-the-best-code-assistants/ Source: Simon Willison’s Weblog Title: What we learned copying all the best code assistants Feedly Summary: What we learned copying all the best code assistants Steve Krouse describes Val Town’s experience so far building features that use LLMs, starting with completions (powered by Codeium and Val Town’s own codemirror-codeium extension) and then…

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

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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: Empirical Study of Test Generation with LLM’s

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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…

  • Simon Willison’s Weblog: Building effective agents

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    system automation
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    Source URL: https://simonwillison.net/2024/Dec/20/building-effective-agents/#atom-everything Source: Simon Willison’s Weblog Title: Building effective agents Feedly Summary: Building effective agents My principal complaint about the term “agents" is that while it has many different potential definitions most of the people who use it seem to assume that everyone else shares and understands the definition that they have chosen to…

  • Simon Willison’s Weblog: Roaming RAG – make the model find the answers

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    Source URL: https://simonwillison.net/2024/Dec/6/roaming-rag/#atom-everything Source: Simon Willison’s Weblog Title: Roaming RAG – make the model find the answers Feedly Summary: Roaming RAG – make the model find the answers Neat new RAG technique (with a snappy name) from John Berryman: The big idea of Roaming RAG is to craft a simple LLM application so that the…

  • Simon Willison’s Weblog: Leaked system prompts from Vercel v0

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    Source URL: https://simonwillison.net/2024/Nov/25/leaked-system-prompts-from-vercel-v0/#atom-everything Source: Simon Willison’s Weblog Title: Leaked system prompts from Vercel v0 Feedly Summary: Leaked system prompts from Vercel v0 v0 is Vercel’s entry in the increasingly crowded LLM-assisted development market – chat with a bot and have that bot build a full application for you. They’ve been iterating on it since launching…