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RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry - GitHub - truefoundry/cognita: RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

Extractive Question Answering (EQA) is one of fundamental problems in Natural Language Understanding. This paper deals with the problem of transferring an EQA model trained on a single (probably large) dataset, known as a source, to multiple new and unlabeled datasets, known as targets. Specifically, a novel single-source to multiple-target domain adaptation method is proposed to address the cross-domain EQA task. The method forms the shared feature space across different domains via minimizing ...

Plato Data Intelligence Leverages Vectara to Power its Data-As-A-Service / DaaS Platform

In this guide, we evaluate Google's Gemini LMM against several computer vision tasks, from OCR to VQA to zero-shot object detection.

Ditch boolean parameters for clearer, more maintainable code, reducing ambiguity in method calls and enhancing overall readability.

Google Gemini is Google's latest Language Model and it is coming to Google Bard and also launching in three different versions.

The history of AI is attributed to technologists from IBM, Amazon, Apple, Google, OpenAI and more. In this journey, key players have emerged, each contributing to the evolution of AI in unique and transformative ways.

/PRNewswire/ -- The growing significance of structured data and the growing use of knowledge graphs across many industries will determine the direction of the...

Social media companies are increasingly using complex algorithms and artificial intelligence to detect offensive behavior online.These algorithms and AI systems all rely on data to learn what is offensive. But who’s behind the data, and how do their

India is now among the top five fastest-growing AI talent hubs in the world, according to a report by LinkedIn.