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Text Generation with LSTM in PyTorch

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It can also be used as generative model, which usually is a classification neural network model. A generative model is to learn certain pattern from data, such that when it is presented with some prompt, it can […] The post Text Generation with LSTM in PyTorch appeared first on MachineLearningMastery.com.

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How To Make a Career in GenAI In 2024

Towards AI

This evolution became tangible and accessible to the general public through experiences like ChatGPT. Last Updated on December 30, 2023 by Editorial Team Author(s): Sudhanshu Sharma Originally published on Towards AI. Over the past 11 years in the field of data science, I’ve witnessed significant transformations.

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Consolidated Kaggle datasets for learning data science

Mlearning.ai

The advent of generative AI models like ChatGPT has made this an even more exciting time to delve into data science. The advent of generative AI models like ChatGPT has made this an even more exciting time to delve into data science. Visualize word frequencies, distributions, and other cool stuff in the text (EDA).

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A comprehensive guide to learning LLMs (Foundational Models)

Mlearning.ai

Although the current version of it focuses on text modality, I intend to expand this to include additional modalities over the below link for the entire interactive mind map. — YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1) With so much information out there.

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Your All-in-One Guide to Generative AI

Pickl AI

What is Generative AI? Generative AI, or Generative Artificial Intelligence, is a type of artificial intelligence system and models that are designed to generate innovative, creative, or human-like content. These AI systems can generate new data or content rather than simply analyzing or processing existing data.

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Advanced Techniques for Handwritten Recognition Using Python

Heartbeat

Photo by Mick Haupt on Unsplash Handwriting recognition is the process of converting handwritten text into computer-readable text. Furthermore, CNNs are capable of handling large amounts of data, making them suitable for use with large datasets of handwritten text.

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Deep Learning Techniques for Time Series Analysis

Heartbeat

Deep learning techniques such as (LSTM) Long Short-Term Memory, Convolutional Neural Networks, and Autoencoders have demonstrated promising results in time series forecasting, anomaly detection, and pattern recognition. Similar to LSTMs but with fewer parameters, Gated recurrent units (GRUs) are another kind of RNN. Let’s dive in!