If you're a fast-growing company needing to leverage all that Generative AI has to offer, the last thing you want is a vendor lock-in. Or, finding out the AI solution you thought you needed doesn't actually have the juice you need. One solution? Amazon Web Services (AWS). We sit down and talk all things AI models with Shruti Koparkar, Product Marketing Lead, AI/ML Acceleration at AWS.

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Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 232: Creating and Capturing Business Value with GenAI – Insights From HPE

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Timestamps:
01:20 About Shruti Koparkar and AWS
02:50 More on AWS and Generative AI
09:54 X-rated computing used to fine-tune models.
12:46 Adobe focused on AI tools, using AWS.
17:50 AI evolution and AWS preparedness for influx.
21:01 Experienced ARM engineer excited about NVIDIA's potential.
24:08 Identify use cases for small-scale applications.

Topics Covered in This Episode:
1. AWS and its Role in Generative AI
2. AWS and Foundation Models
2. AWS's Involvement with Companies Implementing Generative AI
4. Future Preparations of AWS for Generative AI Developments

Keywords:
generative AI, industry insider, Everyday AI, podcast, livestream, newsletter, AWS, Shruti Koparkar, product marketing, x rated computing, NVIDIA GPUs, Amazon Web Services, cloud computing, foundation models, Amazon Bedrock, API, Amazon SageMaker, customizing models, data security, ChatGPT, Perplexity, Amazon Code Whisperer, Adobe, ARM, Leonardo dot ai, apps, NVIDIA GTC conference, accelerated computing

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