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Adopting CX Innovation: How to Overcome the Challenge

TechSee

Furthermore, TechSee’s technology can be integrated anywhere through APIs or SDKs. To ensure that new technologies are embraced and utilized to their fullest, they must be integrated smoothly into the existing agent dashboards and scripts, requiring minimal shifts from established routines.

APIs 109
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Optimize AWS Inferentia utilization with FastAPI and PyTorch models on Amazon EC2 Inf1 & Inf2 instances

AWS Machine Learning

If the model changes on the server side, the client has to know and change its API call to the new endpoint accordingly. In this post, we share best practices to deploy deep learning models with FastAPI on AWS Inferentia NeuronCores. script in the fastapi and trace-model folders use this to create Docker images.

Scripts 73
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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 100
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8 Best Online Coding Courses

JivoChat

Python Scripting and Automation. You will also build more than 10 projects, putting what you learn into practice and also building a portfolio. . RESTful API Design. The course also approaches responsive design, pair programming, PaaS systems, and the growth of APIs. . Frameworks and APIs. Workload: 60 hours.

APIs 75
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 2

AWS Machine Learning

For more information about best practices, refer to the AWS re:Invent 2019 talk, Build accurate training datasets with Amazon SageMaker Ground Truth. For this we use AWS Step Functions , a serverless workflow service that provides us with API integrations to quickly orchestrate and visualize the steps in our workflow.

Scripts 95
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Build custom code libraries for your Amazon SageMaker Data Wrangler Flows using AWS Code Commit

AWS Machine Learning

Therefore, organizations have adopted technology best practices, including microservice architecture, MLOps, DevOps, and more, to improve delivery time, reduce defects, and increase employee productivity. This post introduces a best practice for managing custom code within your Amazon SageMaker Data Wrangler workflow.

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