Transfer Learning methods are primarily responsible for the breakthrough in Natural Learning Processing(NLP) these days. It can give state-of-the-art solutions by using pre-trained models to save us from the high computation required to train large models. This post gives a brief overview of DistilBERT, one outstanding performance shown by TL on natural language tasks, using…
The post Python Guide to HuggingFace DistilBERT – Smaller, Faster & Cheaper Distilled BERT appeared first on Analytics India Magazine.
SDNet is a contextualized attention based deep neural network that achieved State of the Art results in the challenging task of Conversational Question Answering. It makes use of inter attention and self-attention along with Recurrent BIdirectional LSTM layers.
The post Complete Guide to SDNet: Contextualized Attention-based Deep Network for Conversational Question-Answering appeared first on Analytics India Magazine.
The Last Call to Adopt AI
The coming decade will have no patience for businesses with old ways of working. Companies that continue to deliberate on adopting AI technologies will find themselves brutally snared between digital-born companies with inherent AI drivers and early adopters with highly operational AI, steadily losing customers over a widening gap in quality and intuitiveness of offerings.…
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Microsoft has announced the general availability of Azure Migration Program and FastTrack for Azure in India to simplify migration to cloud platforms for organisations. Through Azure Migration Program and FastTrack for Azure, the tech giant aims to deliver a unified, integrated experience across Azure and partner migration tools, for organizations to identify the right tools…
The post Microsoft Launches Azure Migration Program And FastTrack For Azure In India appeared first on Analytics India Magazine.
MixNMatch is a conditional generative model that disentangles and encodes background, object pose, shape, and texture from real images with minimal supervision.
The post How to generate Conditional Image via MixNMatch appeared first on Analytics India Magazine.
MixNMatch is a conditional generative model that disentangles and encodes background, object pose, shape, and texture from real images with minimal supervision.
The post How to generate Conditional Image via MixNMatch appeared first on Analytics India Magazine.
Building a model from scratch requires a great deal of time and effort. When innovations are happening at a break-neck speed, concentrating all the efforts on building models could prove counterproductive. Apart from time and effort, building models could also set companies back financially, especially startups. Enter pre-trained models. Put simply, it is a model…
The post Why Do Companies Prefer Pre-Trained Models? appeared first on Analytics India Magazine.
Building a model from scratch requires a great deal of time and effort. When innovations are happening at a break-neck speed, concentrating all the efforts on building models could prove counterproductive. Apart from time and effort, building models could also set companies back financially, especially startups. Enter pre-trained models. Put simply, it is a model…
The post Why Do Companies Prefer Pre-Trained Models? appeared first on Analytics India Magazine.
Building a model from scratch requires a great deal of time and effort. When innovations are happening at a break-neck speed, concentrating all the efforts on building models could prove counterproductive. Apart from time and effort, building models could also set companies back financially, especially startups. Enter pre-trained models. Put simply, it is a model…
The post Why Do Companies Prefer Pre-Trained Models? appeared first on Analytics India Magazine.
What Is GPT-F?
Recently, researchers at OpenAI introduced GPT-F, an automated prover and proof assistant for the Metamath formalization language. In a paper named “Generative Language Modelling for Automated Theorem Proving”, the researchers said that a formal mathematics community approved a deep learning-based system’s proof for the first time. Deep neural networks have made huge strides in language…
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