Remove Conversational AI Remove DevOps Remove Metadata
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The most valuable AI use cases for business

IBM Journey to AI blog

Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI.

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Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart

AWS Machine Learning Blog

If you are looking to get started with generative AI and the use of LLMs in conversational AI, this post is for you. Chat History: {chat_history} Conversation: Human: {input} AI:""" Using an Amazon Lex V2 session for LLM memory support Amazon Lex V2 initiates a session when a user interacts to a bot.

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Learnings From Building the ML Platform at Mailchimp

The MLOps Blog

For me, it was a little bit of a longer journey because I kind of had data engineering and cloud engineering and DevOps engineering in between. There’s no component that stores metadata about this feature store? Mikiko Bazeley: In the case of the literal feature store, all it does is store features and metadata.

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Accelerate your generative AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS

AWS Machine Learning Blog

Akshit Arora is a senior data scientist at NVIDIA, where he works on deploying conversational AI models on GPUs at scale. He’s a graduate of University of Colorado at Boulder, where he applied deep learning to improve knowledge tracking on a K-12 online tutoring platform.