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Introduction to prompt engineering
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Popular programming language
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In-context learning
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What are prompts?
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Why prompt engineering?
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First basic prompts
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Temperature
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Text summarization
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Question Answering
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Roleplaying
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Code generation
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Reasoning
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Image generation
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Few shots prompt
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Chain of thoughts prompting
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Zero-shot
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Program-aided language model
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Prompt injection
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Prompt leaking
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Jailbreaking
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QnA
Description:
Embark on a comprehensive crash course exploring the dynamic world of prompt engineering for GPT-3.5 and beyond. Master the art of crafting effective prompts to communicate seamlessly with Large Language Models. Delve into topics such as in-context learning, temperature adjustment, and various prompting techniques including few-shot, chain-of-thought, and zero-shot. Gain practical skills in text summarization, question answering, code generation, and image generation. Explore advanced concepts like program-aided language models and understand potential risks such as prompt injection, leaking, and jailbreaking. Engage in a Q&A session to solidify your understanding and boost your prompt engineering skills for various use cases in the realm of artificial intelligence.

AI Mastery: Ultimate Crash Course in Prompt Engineering for Large Language Models

Data Science Dojo
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