Claude AI uses XML tags for effective prompt engineering of this LLM:
PROMPT ENGINEERING
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Claude 3 Prompt for Generating AI Business Automation Ideas
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Here's a Claude 3 Prompt to help you generate a niche idea in seconds: Create a comprehensive list of small-to-medium sized business types that necessitate automation in various operational sectors, including lead generation, outreach, sales, onboarding, service delivery,
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Cohere Rerank API: Boosting Search Relevancy with Fine-tuning
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Cohere’s Rerank is a key tool for boosting search result relevancy. Watch Senior Product Manager Eliott Choi walk through the elements of Cohere’s Rerank API call.
— Cohere (@cohere) 9 mars 2024
Check out the fine-tuning feature for Rerank: https://t.co/H4aEzX6QDI pic.twitter.com/Nv3pVLW9AoCohere’s Rerank is a key tool for boosting search result relevancy. Watch Senior Product Manager Eliott Choi walk through the elements of Cohere’s Rerank API call. Check out the fine-tuning feature for Rerank: https://
txt.cohere.com/rerank-fine-tu
ning/
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Designing AI Products: Managing Limitations and User Success
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The hard part of designing AI-native products isn't figuring out what the AI can do, instead it's figuring out what the AI cannot do, and where it fails — and then designing the product so that users can succeed despite that.
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Multi-Prompting Unlikely to Change in V6
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it's very unlikely multi-prompting will change in v6, sorry!
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Understanding True AI System Capabilities and Their Uncertainties
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It is really hard to know the true capabilities of AI systems. There are no instructions. No one knows what is in the training data (even the AI labs don’t know the content of all the web pages, articles & books). And variability in prompts, seeds, and versions adds randomness.
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AI Interpretability: Training Data Uncertainty and Model Justification
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Was it in the training set? Who knows.
Did the color of the brick really suggest that it was Georgetown and not Philly? I have no idea.
Do the shrubs suggest the US and not Europe? Maybe. Asking the AI how it thought is a request for it to justify, not truth. The mystery remains -
Build a Chat with Your Code RAG Application Step by Step
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RT thread by @akshay_pachaar >> Build a "Chat with your code" RAG application, step-by-step:
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GPT-4 adoption gap among business and tech leaders
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In every group I speak to, from business executives to scientists, including a group of very accomplished people in Silicon Valley last night, much less than 20% of the crowd has even tried a GPT-4 class model. Less than 5% has spent the required 10 hours to know how they tick.