Remove 2012 Remove Natural Language Processing Remove Python
article thumbnail

Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning Blog

Apache Spark and its Python API, PySpark , empower users to process massive datasets effortlessly by using distributed computing across multiple nodes. In this post, we build a Docker image that includes the Python 3.11 You can modify the role to include any additional services that EMR Serverless needs to access at runtime.

AWS 125
article thumbnail

Automatic image cropping with Amazon Rekognition

AWS Machine Learning Blog

We launch an Amazon SageMaker notebook, which provides a Python environment where you can run the code to pass an image to Amazon Rekognition and then automatically modify the image with the celebrity in focus. In the following sections, we show how to create the following cropped image output with Werner Vogels in crisp focus. is 6:4, 0.66

ML 102
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

A comprehensive guide to learning LLMs (Foundational Models)

Mlearning.ai

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

article thumbnail

AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

AWS Machine Learning Blog

Use CodeWhisperer in Studio After we complete the installation steps, we can use CodeWhisperer by opening a new notebook or Python file. Let’s test it out in a Python file. On the File menu, choose New and Python File. To use the CodeWhisperer extension, ensure that you have the necessary permissions. Install the extension.

AWS 103
article thumbnail

NLP News Cypher | 07.26.20

Towards AI

Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 07.26.20 Instead of building a model from… github.com NERtwork Awesome new shell/python script that graphs a network of co-occurring entities from plain text! Primus The Liber Primus is unsolved to this day.

article thumbnail

Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart

AWS Machine Learning Blog

We cover two approaches: using the Amazon SageMaker Studio UI for a no-code solution, and using the SageMaker Python SDK. FMs through SageMaker JumpStart in the SageMaker Studio UI and the SageMaker Python SDK. Fine-tune using the SageMaker Python SDK You can also fine-tune Meta Llama 3.2 Vision models. WASHINGTON, D.

ML 116
article thumbnail

Dead Code Should Be Buried

Explosion

Natural Language Processing moves fast, so maintaining a good library means constantly throwing things away. But most Natural Language Processing libraries do, and it’s terrible. Natural Language Processing (NLP) research moves very quickly. The new models supercede the old ones.