Remove resources demos
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Vision Language Models: Introducing the new tiny VLM Moondream 2

Data Science Dojo

However, these are large vision models requiring heavy computational resources to produce effective results, and that too at slow inference speeds. It is designed to operate seamlessly on devices with limited computational resources. Some demos included in its repository highlight its capabilities. With only 1.86

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Creating a web app for Gradio application on Azure using Docker: A step-by-step guide

Data Science Dojo

’ Comprehensive overview Gradio application Gradio is a Python library that allows users to create interactive demos and share them with others. The platform automatically manages the infrastructure, including server resources, security, and availability, so that you can focus on writing code and delivering value to your customers.

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What you need to know about the future of Mozilla Hubs

Hacker News

The shutdown includes our demo server, managed subscription, and community resources. In this post, the Hubs team covers what our community and customers can expect for the shutdown of Hubs on May 31, 2024. We encourage you to ask questions in our Discord Server: [link]

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Qwen1.5-32B: Fitting the Capstone of the Qwen1.5 Language Model Series

Hacker News

GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction The open-source community has long sought a model that strikes an ideal balance between performance, efficiency, and memory footprint. Despite the emergence of cutting-edge models like Qwen1.5-72B

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phData Launches the Provision Tool for Automated Snowflake Onboarding

phData

The Provision tool’s high-performance, template-driven engine can manage and enforce that architecture to quickly and automatically provision resources in Snowflake, even for the largest accounts. Improved resource create/destroy behavior, making it easy to destroy even individual objects. Simplified configuration.

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Crossing the demo-to-production chasm with Snorkel Custom

Snorkel AI

Today, I’m incredibly excited to announce our new offering, Snorkel Custom, to help enterprises cross the chasm from flashy chatbot demos to real production AI value. Expectations were set sky-high, budgets were locked, and now teams are realizing that converting flashy chatbot demos into production AI is a much longer road than it seemed.

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Build Streamlit apps in Amazon SageMaker Studio

AWS Machine Learning Blog

With Streamlit , developing demo applications for your ML solution is easy. As an example, we use a custom Amazon Rekognition demo, which will annotate and label an uploaded image. This will serve as a starting point, and it can be generalized to demo any custom ML model. sh setup.sh is modified on disk.

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