Remove 2022 Remove APIs Remove Scripts
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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 136
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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

For text generation, Amazon Bedrock provides the RetrieveAndGenerate API to create embeddings of user queries, and retrieves relevant chunks from the vector database to generate accurate responses. Boto3 makes it straightforward to integrate a Python application, library, or script with AWS services.

Chatbots 112
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Top 10 Contact Center Software for 2022-2023

Hodusoft

Top 10 Contact Center Software for 2022-2023. This blog post lists the top 10 contact center solutions that gained a lot of popularity in 2022 and are poised to keep up the momentum in 2023 and beyond. Ameyo is yet another major contender for the top contact center solutions for 2022-23. Ease of use and performance.

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Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AWS Machine Learning

billion EUR (in 2022), a workforce of 336,884 employees (including 221,343 employees in Germany), and operations spanning 130 countries. After they log in to the custom application, the user requests SageMaker domain access through the UI by triggering an Amazon API Gateway call to generate a presigned URL.

APIs 119
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How Games24x7 transformed their retraining MLOps pipelines with Amazon SageMaker

AWS Machine Learning

The code to invoke the pipeline script is available in the Studio notebooks, and we can change the hyperparameters and input/output when invoking the pipeline. This is quite different from our earlier method where we had all the parameters hard coded within the scripts and all the processes were inextricably linked.

Scripts 98
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Deploy a serverless ML inference endpoint of large language models using FastAPI, AWS Lambda, and AWS CDK

AWS Machine Learning

Amazon SageMaker inference , which was made generally available in April 2022, makes it easy for you to deploy ML models into production to make predictions at scale, providing a broad selection of ML infrastructure and model deployment options to help meet all kinds of ML inference needs. To build this image locally, we need Docker.

APIs 97