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Search results 25 - 32 of 32- HANDS-ON LABJun Fritz
Implementing Conversational Memory Using LangChain and Amazon DynamoDBIntermediateDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps - HANDS-ON LABJun FritzWorking With Conversational Memory and the Amazon Bedrock Converse APIBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzDeveloping Chains and Runnables With the LangChain Expression Language (LCEL)BeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Step through an application to learn about the LangChain Expression Language (LCEL) and how to develop chains and custom runnables in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzFormatting Large Language Model Inputs With LangChain Prompt TemplatesBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage LangChain Prompt Templates to format large language model inputs for better performance and accuracy in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew Burchill
Planning EC2 Capacity With Amazon ForecastBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will see how to prepare web log data for use with Amazon Forecast's EC2 planning capability.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - HANDS-ON LABQA
GitHub Copilot App Creation DemoIntermediateDuration: Up to 2 hoursAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to create apps with GitHub Copilot.; Duration: Up to 2 hours; Content Topics: Artificial Intelligence; This hands-on lab has: 8 Lab steps - HANDS-ON LABParveen Singh
Deploying a Containerized Text Analytics Solution with Azure AIBeginnerDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Beginner; Description: Learn how to deploy a containerized text analytics solution with Azure AI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - HANDS-ON LABQARefactoring for Readability & PerformanceIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to refactor code for improved readability and performance.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps