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Swipe Right for Your Career: Build A Tinder for Jobs

Towards AI

Finding a perfect job or candidate in the vast realm of employment! Fear not, dear reader, for we’re about to embark on a quest to build the most impressive job-candidate matchmaking platform. Get ready to dive into the depths of machine learning, LLMs, and vector databases, as we craft a digital Cupid for the job market!”

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Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition

AWS Machine Learning Blog

Train a model using a SageMaker training job In our second option, we train a custom deep learning model on SageMaker. Copy the API Gateway endpoints for each of the deployed Lambda functions into the index.html file in the preceding repository (there are placeholders where the endpoint needs to be placed).

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How to Build a Multiplayer (.io) Web Game, Part 2

Victor Zhou

Client Entrypoints : index.html and index.js. The other primary job server.js It has two primary jobs: managing players and simulating the game. In this post, we’ll take a look at the Node.js backend powering our example.io Builds / Project Setup : Development tooling, configuration, and setup. has is to setup our socket.io

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Build generative AI agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain

AWS Machine Learning Blog

OutputValue' --output text) aws kendra start-data-source-sync-job --id $KENDRA_S3_DATA_SOURCE_ID --index-id $KENDRA_INDEX_ID aws kendra start-data-source-sync-job --id $KENDRA_WEBCRAWLER_DATA_SOURCE_ID --index-id $KENDRA_INDEX_ID export AMPLIFY_APP_ID=$(aws cloudformation describe-stacks --stack-name $STACK_NAME --query 'Stacks[0].Outputs[?

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