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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 115
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How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

AWS Machine Learning

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. These tools have enabled Patsnap’s global customers to have a better understanding of patents, track recent technological advances, identify innovation trends, and analyze competitors in real time. client('sts').get_caller_identity()['Account']

APIs 67
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Use a generative AI foundation model for summarization and question answering using your own data

AWS Machine Learning

When that job is done, you can invoke an API that summarizes the text or answers questions about it. Randy has held a variety of positions in the technology space, ranging from software engineering to product management. In entered the Big Data space in 2013 and continues to explore that area.

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Join Us This Summer for WebinarStock!

Callminer

This virtual conference will cover a ranging of topics, expert speakers, partners and customers about better customer and agent experiences through speech analytics. Creating Customer Service Super Agents with Data, Tech and Coaching featuring Forrester. It’s not just about technology! Register for 10am BST Session.

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Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs 71
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Designing generative AI workloads for resilience

AWS Machine Learning

Because the interface between agents and tools is less formally defined than an API contract, you should monitor these traces not only for performance but also to capture new error scenarios. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

NLP SQL enables business users to analyze data and get answers by typing or speaking questions in natural language, such as the following: “Show total sales for each product last month” “Which products generated more revenue?” In entered the Big Data space in 2013 and continues to explore that area. Nitin Eusebius is a Sr.