AWS Machine Learning

MAY 31, 2023

You can submit a document from the AWS Management Console , AWS Command Line Interface (AWS CLI), or AWS SDK and receive the translated document in real time while maintaining the format of the original document. This feature eliminates the wait for documents to be translated in asynchronous batch mode.

APIs 82

APIs Consulting Consulting Marketing 82

AWS Machine Learning

JULY 6, 2022

Imagine a surgeon taking video calls with patients across the globe without the need of a human translator. In this post, you use the asynchronous Amazon Transcribe streaming SDK for Python , which uses the HTTP/2 streaming protocol to stream live audio and receive live transcriptions. The asynchronous Amazon Transcribe Python SDK.

APIs 73

APIs Scripts Engineering Management 73

AWS Machine Learning

NOVEMBER 14, 2023

This includes plain text, text extracted from images, and text transcribed from audio or video content. Moreover, platforms that accept video and audio content can use this feature to moderate transcribed audio content. The emergence of generative AI and large language models (LLMs) represents the latest trend in the field of AI.

APIs 94

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AWS Machine Learning

NOVEMBER 4, 2022

This section describes how to use the TensorFlow text classification algorithm with the SageMaker Python SDK. The following code shows how to fine-tune BERT base model identified by model_id tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2 on a custom training dataset. Each model is identified by a unique model_id.

Scripts 88

Scripts Construction 88

AWS Machine Learning

SEPTEMBER 22, 2022

It includes extracting marketing and customer insights from live social media feeds, videos, live events, or broadcasts, understanding emotions for research purposes, or deterring cyberbullying. You can interact with the API with the AWS Command Line Interface (AWS CLI) or through the AWS SDK. language-code en. region us-east-2.

APIs 67

APIs Contact Center Feedback Analytics 67

AWS Machine Learning

SEPTEMBER 6, 2023

Now you can also fine-tune 7 billion, 13 billion, and 70 billion parameters Llama 2 text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK. Fine-tune Llama2 models You can fine-tune the models using either the SageMaker Studio UI or SageMaker Python SDK.

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