Module 7 - Advanced Topics in AI Archives

Transfer Learning in NLP

What is Transfer Learning? Transfer learning, a cornerstone in the realm of Natural Language Processing (NLP), transforms the way we approach language models. It’s akin to giving a new employee a comprehensive manual about your company’s operations, significantly shortening their learning curve. In NLP, this “manual” comes in the form of pre-trained language models which have already learned a vast amount of information about language from extensive datasets. Pre-trained Language Models: The Iceberg Beneath Imagine an iceberg, where what you see above the water is the specific NLP task at hand, but beneath the surface lies

Autoencoders

What is Autoencoders? Autoencoders, a fascinating subset of neural networks, serve as a bridge between the input and a reconstructed output, operating under the principle of data encoding and decoding. At their core, these models are designed to learn efficient representations of data, often for the purpose of dimensionality reduction or feature learning. Basics of Autoencoders Imagine an autoencoder as a craftsman, meticulously carving a block of wood, only to later assemble the shavings back into its original form. This process involves two primary components: the encoder and the decoder. The encoder compresses the input into

Generative Adversarial Networks (GANs)

What is a generative adversarial network? At the heart of some of the most groundbreaking advancements in AI, Generative Adversarial Networks, or GANs, present a fascinating method for generating data that is virtually indistinguishable from real-world data. These networks are made up of two models: generators and discriminators. The generator creates new data instances, while the discriminator evaluates them against a set of real data, learning to differentiate the fake from the real. The Genesis of Synthetic Realities Imagine having the power to dream up images, art, or even new fashion designs out of thin air.

Category: Module 7 – Advanced Topics in AI

Transfer Learning in NLP

Autoencoders

Generative Adversarial Networks (GANs)

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