AWS re:Invent 2023 - Customize FMs for generative AI applications with Amazon Bedrock (AIM247)

Foundation models (FMs), like LLMs, have shown impressive capabilities across many natural language tasks. However, directly utilizing these models for applications can present challenges. In this session, explore and compare methods for effectively adapting foundation models for your applications. Learn how to evaluate prompt engineering, which reformulates the task into natural language, and fine-tuning, which updates the models' parameters on new tasks and use cases. Explore the trade-offs between usability and resource requirements for each method. Learn how to productively use the capabilities of large models, and discover future improvements to their adaptability.
Learn more about AWS re:Invent at go.aws/46iuzGv.
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[@yotubecreators47]

thank you i watched this 10 times

[@josephpareti9156]

how can I use bedrock? how much does AWS charge me for that ?

[@awssupport]

Hello! Take look at this page that shares Amazon Bedrock use cases, you can also find a pricing guide here: go.aws/3zCeyAs. ^LG