Models 
Analytics Vidhya
MAY 16, 2024
Unlike previous models like BERT, which use masked language modeling (MLM), where certain words are masked and predicted based on context, XLNet employs permutation language modeling (PLM). This means […] The post Understanding the XLNet Pre-trained Model appeared first on Analytics Vidhya.
insideBIGDATA
APRIL 27, 2024
In this contributed article, Varun Singh, President and co-founder of Moveworks, sees rockets as a fitting analogy for AI language models. Likewise, large language models need the addition of smaller, specialized models to enable oversight and real-world grounding.
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Analytics Vidhya
MAY 9, 2024
Google DeepMind has just unveiled AlphaFold 3, a revolutionary AI model redefining biomolecular modeling. Unlike its predecessors, AlphaFold 3 extends its modeling skills beyond proteins. This new model is capable of generating DNA, RNA, and smaller molecules known as ligands. appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 17, 2024
Introduction In natural language processing (NLP), sequence-to-sequence (seq2seq) models have emerged as a powerful and versatile neural network architecture. The core concept of seq2seq models lies in their ability to […] The post Sequence-to-Sequence Models for Language Translation appeared first on Analytics Vidhya.
Speaker: Jason Tanner
A sustainable business model contains a system of interrelated choices made not once but over time. We’ll explore how to shift from ambiguous descriptions of value to economic modeling of customer benefits to identify value exchange choices that enable a profitable pricing model.
Analytics Vidhya
MAY 9, 2024
They actively improve the coding process by automating routine tasks, optimizing […] The post IBM Granite Code Models: A Family of Open Foundation Models for Code Intelligence appeared first on Analytics Vidhya. Most of today’s technologies support coding by harnessing the power of artificial intelligence (AI).
insideBIGDATA
APRIL 30, 2024
In this contributed article, Rick Echevarria, Vice President, Security Center of Excellence, Intel, touches on the growing importance of protecting AI models and the data they contain, as this data is often sensitive, private, or regulated.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. . 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products!
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
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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.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
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The Definitive Guide to Predictive Analytics has everything you need to get started, including real-world examples, steps to build your models, and solutions to common data challenges. Techniques to solve common data challenges and build performant models. How to price and package predictive analytics with your product.
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