Sat.May 04, 2024 - Fri.May 10, 2024

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Footprints of AI: Read This Before Working on Massive AI Models

Analytics Vidhya

Introduction AI has shaken up the world with GenAI, self-learning robots, and whatnot! You might have heard about the world’s first humanoid robot, Sophia, who answered affirmatively to destroy humanity in […] The post Footprints of AI: Read This Before Working on Massive AI Models appeared first on Analytics Vidhya.

Modeling 321
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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Deep learning requires a tremendous amount of computing power.

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Essential skills and traits of chief AI officers

CIO Business Intelligence

“With AI ultimately being an enabler to deliver better business outcomes across all facets of business, the range and scope of knowledge and understanding of the CAIO is broad,” says Orla Daly, CEO of digital learning company SkillSoft. This includes skills in statistical analysis, data visualization, and predictive modeling.

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Redefining clinical trials: Adopting AI for speed, volume and diversity

IBM Big Data Hub

Enter the age of data-driven protocol assessment: using benchmarking tools and predictive modeling to gauge protocol intricacies and forecast eligible patient numbers, which then inform protocol adjustments. The latest developments in large language models (LLMs) have the potential to significantly expedite protocol design processes.

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How to Evaluate ASR Solution Brief

There is a fundamental difference between 1st generation, 2nd generation, and modern-day Automatic Speech Recognition (ASR) solutions that use 100% deep learning technology. In this solution brief, you will learn: The differences between 1st generation, 2nd generation, and modern-day ASR solutions. How to test AI ASR solutions.

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LLMs Get a Speed Boost: New Tech Makes Them BLAZING FAST!

Analytics Vidhya

Introduction Large Language Models (LLMs) are crucial in various applications such as chatbots, search engines, and coding assistants. Batching, a key technique, helps manage […] The post LLMs Get a Speed Boost: New Tech Makes Them BLAZING FAST!

Modeling 316
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Simulation to Reality: Robots Now Train Themselves with the Power of LLM (DrEureka)

Analytics Vidhya

Introduction Have you ever thought robots would learn independently with the power of LLMs? In robotics, sim-to-real transfer refers to transferring policies learned in simulation to the real world. It’s happening now! DrEureka is automating sim-to-real design in robotics.

Analytics 306
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How Deepgram Works

In this whitepaper you will learn about: Use cases for enterprise audio. How you can label, train and deploy speech AI models. Overview of Deepgram's Deep Neural Network. Why Deepgram over legacy trigram models. Download the whitepaper to learn how Deepgram works today! Deepgram Enterprise speech-to-text features.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Join this webinar to learn how to blend Geospatial data (from SafeGraph), Financial Market and Transaction Data (from Facteus), & Global Websites Visit and Engagement KPIs (from SimilarWeb) to enrich, augment, and improve self-service analytics as well as predictive models.

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