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Interactive Tweet Sentiment Visualization

Analytics Vidhya

The post Interactive Tweet Sentiment Visualization appeared first on Analytics Vidhya. This data corresponds to either the opinion of people on political matters, on products they use, or on the services they use from companies. Mining this […].

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Nvidia Introduces VILA: Visual Language Intelligence and Edge AI 2.0

Analytics Vidhya

Introduction Visual Language Models (VLMs) are revolutionizing the way machines comprehend and interact with both images and text. These models skillfully combine techniques from image processing with the subtleties of language comprehension. This integration enhances the capabilities of artificial intelligence (AI).

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Hugging Face Presents Idefics2: An 8B Vision-Language Model Revolution

Analytics Vidhya

Hugging Face’s latest offering, Idefics2 heralds a new era in multimodal AI models. With enhanced capabilities and a refined architecture, Idefics2 promises to reshape how we interact with visual and textual data. Let’s delve into the advancements and implications of this new release.

Modeling 311
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Apple Launches ReALM Model that Outperforms GPT-4

Analytics Vidhya

The AI enables more natural interactions with devices by converting visual elements into text, thereby transforming user experience. Let us explore this new technology and also find out how it compares with existing models such […] The post Apple Launches ReALM Model that Outperforms GPT-4 appeared first on Analytics Vidhya.

Modeling 309
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Five years ago they may have. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Microsoft Releases VisualGPT: Combines Language and Visuals

Analytics Vidhya

As artificial intelligence (AI) continues to evolve, so do the capabilities of Large Language Models (LLMs). These models use machine learning algorithms to understand and generate human language, making it easier for humans to interact with machines.

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Explore visualizations with AWS Glue interactive sessions

AWS Big Data

AWS Glue interactive sessions offer a powerful way to iteratively explore datasets and fine-tune transformations using Jupyter-compatible notebooks. This post is part of a series exploring the features of AWS Glue interactive sessions. Now, let’s run a few visualizations on the Iris and MNIST datasets. and later).