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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services.

AWS 86
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Revolutionize your ML workflow: 5 drag and drop tools for streamlining your pipeline

Data Science Dojo

Drag and drop tools have revolutionized the way we approach machine learning (ML) workflows. Gone are the days of manually coding every step of the process – now, with drag-and-drop interfaces, streamlining your ML pipeline has become more accessible and efficient than ever before. H2O.ai H2O.ai

ML 195
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Master Vector Embeddings with Weaviate – A Comprehensive Series for You!

Data Science Dojo

You will also see a hands-on demo of implementing vector search over the complete Wikipedia dataset using Weaviate. Part 3: Challenges of Industry ML/AI Applications at Scale with Vector Embeddings Scaling AI and ML systems in the modern technological world presents unique and complex challenges.

Database 195
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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

From an enterprise perspective, this conference will help you learn to optimize business processes, integrate AI into your products, or understand how ML is reshaping industries. Machine Learning & Deep Learning Advances Gain insights into the latest ML models, neural networks, and generative AI applications.

AI 250
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Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements

Flipboard

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. For example: input = "How is the demo going?" Refer to demo-model-builder-huggingface-llama2.ipynb output = "Comment la démo va-t-elle?"

ML 166
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Create a Quick Yet Elegant Demo of Your Incredible AI Application

Towards AI

The previous parts of this blog series demonstrated how to build an ML application that takes a YouTube video URL as input, transcribes the video, and distills the content into a concise and coherent executive summary. Before proceeding, you may want to have a look at the resulting demo or the code hosted on Hugging Face U+1F917 Spaces.

AI 105
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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

With a goal to help data science teams learn about the application of AI and ML, DataRobot shares helpful, educational blogs based on work with the world’s most strategic companies. Data Scientists of Varying Skillsets Learn AI – ML Through Technical Blogs. Watch a demo. See DataRobot in Action. Bureau of Labor Statistics.