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Content moderation on audio files with Python

AssemblyAI

In this tutorial, we'll learn how you can use Python and state-of-the-art AI models to automatically perform content moderation on audio files at scale with just a few lines of code.  The levels outside right now in Baltimore are considered unhealthy. s") # Get category, confidence, and severity.

Python 64
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Build a generative AI-based content moderation solution on Amazon SageMaker JumpStart

AWS Machine Learning Blog

We use the powerful generating capability of LLMs to generate the final decision including safe/unsafe labels and category type. The designed prompt template allows the LLM to determine if the image violates the moderation policy, identify the category of violation, explain why, and provide the output in a structured JSON format.

ML 90
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Multivariate Time Series Forecasting

Mlearning.ai

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

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Build a classification pipeline with Amazon Comprehend custom classification (Part I)

AWS Machine Learning Blog

Document categorization or classification has significant benefits across business domains – Improved search and retrieval – By categorizing documents into relevant topics or categories, it makes it much easier for users to search and retrieve the documents they need. They can search within specific categories to narrow down results.

AWS 91
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Announcing support for Llama 2 and Mistral models and streaming responses in Amazon SageMaker Canvas

AWS Machine Learning Blog

Llama 2 is among the state-of-the-art large language models (LLMs) available today for the open source community to build their own AI-powered applications. If you want to learn more about SageMaker Canvas features and deep dive on other ML use cases, check out the other posts available in the SageMaker Canvas category of the AWS ML Blog.

ML 85
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Foundation models for reasoning on charts

Google Research AI blog

Posted by Julian Eisenschlos, Research Software Engineer, Google Research Visual language is the form of communication that relies on pictorial symbols outside of text to convey information. Matcha surpasses the state of the art by a large margin on QA, compared to larger models, and matches these larger models on summarization.

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Support Vector Machine: A Comprehensive Guide?—?Part2

Mlearning.ai

SVM In the next image, we have a best-fit line or plane but along with that we also have two marginal planes passing through the nearest point of each category and the equation of the plane is also shown. 1-D Data In order to separate these two categories we need 2 best-fit lines. Mind-to-Art models are here Mlearning.ai