Guiding LLM Output with DSPy Assertions and Suggestions https://
bit.ly/4bAMV85 #AI #MachineLearning #DeepLearning #LLMs #DataScience
PROMPT ENGINEERING
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Guiding LLM Output with DSPy Assertions and Suggestions
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Mega Prompt Generator for ChatGPT
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1. Mega Prompt Generator
— God of Prompt (@godofprompt) 16 juillet 2024
To get exact and precise content from ChatGPT, give mega prompts to it.
This GPT can help you out.
Link: https://t.co/DdvLxY0DCg pic.twitter.com/LaR0Cx7URK1. Mega Prompt Generator To get exact and precise content from ChatGPT, give mega prompts to it. This GPT can help you out. Link: https://
chatgpt.com/g/g-1ObGhQpzP-
mega-prompt-generator
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ChatGPT 4o fails on real numbers due to word order dependency
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It still happens even when saying explicitly these are real numbers for ChatGPT 4o (see below). Also it seems to critically depend on the word order — I've only seen the model fail when the choices precede the question.
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LLMs sometimes claim 9.11 > 9.9 with specific prompts
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To clarify: I'm not saying any LLM consistently acts like it believes 9.11 > 9.9 no matter how you prompt it. I'm saying if you prompt in this specific way, many leading models will tell you 9.11 > 9.9 and that's weird. If you want to repro, pls paste prompt from the alt text.
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Using AI to Create Role-Play Scenarios for Students
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How to Use AI to Create Role-Play Scenarios for Your Students https://
bit.ly/45XOyvo
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Using ChatGPT for Business Strategy via Prompt Engineering
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Alex Hormozi’s book $100M Offers has helped countless businesses. Now, you can get the same advice directly through ChatGPT with my mega prompt. Receive $100,000 worth of business strategies for FREE! To claim it, just: – Like & RT
– Reply "Hormozi"
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Advanced RAG Flows with LlamaIndex Query Pipelines Guide
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Unlock the Power of Advanced RAG Flows! AI engineers, are you ready to elevate your skills? Dive into this comprehensive guide on building advanced Retrieval-Augmented Generation (RAG) flows using @llama_index query pipelines. Learn how to craft basic RAG flows,
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RankRAG: Instruction Fine-Tuning Framework for LLM RAG Enhancement
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2/ RankRAG – introduces a new instruction fine-tuning framework to perform effective context ranking and answering generation to enhance an LLM’s RAG capabilities.
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Speaker on Fine-Tuning and Model Merging at GenAI DevCon
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Fellow Londoners, I'll be speaking at the GenAI DevCon on July 18th about fine-tuning and model merging. Then I'm flying to Vienna for @icmlconf
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Using AI Prompts to Create Personalized Learning Plans
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10/ Learning New Skills. The Prompt: "Create a step-by-step learning plan to master [Input: Skill or Topic], including resources and practice exercises."