AWS re:Invent 2023 - Prompt engineering best practices for LLMs on Amazon Bedrock (AIM377)

Prompt engineering is the process of guiding large language models (LLMs) to produce desired outputs. In this session, get an overview of prompt engineering best practices and learn how to choose the most appropriate formats, phrases, words, and symbols to get the most out of generative AI solutions while improving accuracy and performance. This session uses the Claude 2 LLM as an example of how prompt engineering helps to solve complex customer use cases. Also learn how prompts can be integrated with your architecture and how to use API parameters for tuning the model parameters using Amazon Bedrock.
Learn more about AWS re:Invent at go.aws/46iuzGv.
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[@ZombieRPGee]

Awesome video 🎉

[@Ganeshgella1]

Wonderful talk John Baker !!

[@bgiorgini]

Great talk and examples!

[@FinancialGuardians..]

I watched full video just to get to know what is RAG but unfortunatly i did not understand . however this video title is prompt engineering but some of the things i knew that before first its explain what is 10+10 , how to give context to large language model that is if we lazy to write good prompt the output will be worse . so first we have to give 4 to five minutes to write good prompt. another things halluchulattion how deal with it.

[@chatchaikomrangded960]

Best one!

[@AWSEventsChannel]

Thank you! 🙌

[@jdbaker3817]

Thank you!

[@Warung-AI-Channel]

permission to embed the video on our website 😊

[@sademurphy8886]

Hello

[@shobhitagnihotri416]

We can't even use it in our project as college , such a bad product

[@volkermueller7965]

Why can’t you use it in your project?