5. The Practical Guides for Large Language Models This repository is a curated list of practical guide and resources of LLMs.
PROMPT ENGINEERING
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Prompt to identify jobs-to-be-done
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8. Jobs-to-be-done Prompt: "ChatGPT, help me identify the core jobs-to-be-done for [Target Audience] in [Your Industry]."
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SWOT Analysis: Prompt to Identify Growth Areas
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3. SWOT analysis Prompt: "ChatGPT, conduct a SWOT analysis for [Your Business/Project] to identify areas of growth and improvement."
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10 ChatGPT prompts that will make you rich
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10 ChatGPT prompts that'll make you rich: Don't forget to bookmark
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Running LLMs locally on MacBook M1 Pro with LMStudio
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Running on Macbook M1 pro (16GB RAM) using the @LMStudioAI. If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials. https://
x.com/Saboo_Shubham_
/status/1787308176813298128
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Deterministic Quoting: Preventing LLM Text Alterations
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I saw an interesting proposal today for avoiding those kinds of minor alterations to direct quotes: https://
mattyyeung.github.io/deterministic-
quoting
… "That’s the only way to guarantee that an LLM has not transformed text: don’t send it through the LLM in the first place." -
Premise Order Significantly Impacts LLM Reasoning Accuracy
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Featuring our first paper of the week, "Premise Order Matters in Reasoning With LLMs": https://
alphaxiv.org/abs/2402.08939
v2
…. Premise reordering can lead to accuracy dropoffs of 30% in LLMs! The authors @ryanandrewchi @xinyun_chen_ will be on alphaXiv to respond to your questions! -
Understanding LLM Flaws: A Practical Guide to Tool Usage
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The key with all of this is to treat LLMs as flawed tools If a tool is flawed it doesn't mean it's completely useless, it means you have to understand those flaws and how to work around them LLMs have almost no documentation about how to do that, which is why I write about them
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Learning Prompt Engineering Could Have Changed Everything
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none of this would have happened if id just learned how to be a prompt engineer
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Structured generation improves LLM performance and consistency
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This blog post on the effect of adding "structured generation" on the performances and consistency of LLMs was a good read Thanks a lot for that @willkurt @remilouf and @clefourrier