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Tag: backpropagation

What is GPT? You Won’t Believe What’s Inside!

Introduction In recent years, the field of artificial intelligence (AI) has witnessed a remarkable surge in the development of generative AI models. These models can...

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Ever wonder what makes machine learning effective?

Classification in machine learning involves the intriguing process of assigning labels to new data based on patterns learned from training examples. It’s like teaching...

PyTorch Tips to Boost Your Productivity – KDnuggets

Image by Author  Have you ever spent hours debugging a machine learning model but can’t seem to find a reason the accuracy does not...

Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK | Amazon Web Services

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. With SageMaker JumpStart, ML practitioners can choose from a...

The Complete Guide to AI Image Processing

In a world increasingly dominated by digital imagery, the convergence of artificial intelligence and computer vision has ushered in a new era of innovation. Join...

A Comprehensive Guide to Fine-Tuning Large Language Models

Introduction Over the past few years, the landscape of natural language processing (NLP) has undergone a remarkable transformation, all thanks to the advent of large...

Chat with PDFs using ChatGPT & GPT API

In this blog post, we explore Language Learning Models (LLMs) and their astounding ability to chat with PDF files. To start, we will show...

A Comprehensive Guide to Mastering Next Word Prediction with BI-LSTM

A Comprehensive Guide to Mastering Next Word Prediction with BI-LSTMNext word prediction is a fascinating field in natural language processing (NLP) that aims to...

A Comprehensive Guide to Convolutional Neural Networks – KDnuggets

Artificial Intelligence has been witnessing monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous...

Bayesian Networks – Probabilistic Neural Network (PNN)

Introduction Bayesian Networks or statistics form an integral part of many statistical learning approaches. It involves using new evidence to modify the prior probabilities of...

How to Use ChatGPT to Improve Your Data Science Skills

Until now, ChatGPT has proven to be helpful for doing many things. It can be used to write SQL and Python code, improve your...

Tutorial on MNIST Digit Classification Using ClearML

Introduction If you are a Data Scientist or MLOps Engineer, at some point, you would have faced problems tracking code, data, and models for different...

Performer-MPC: Navigation via real-time, on-robot transformers

Posted by Krzysztof Choromanski, Staff Research Scientist, Robotics at Google, and Xuesu Xiao, Visiting Researcher, George Mason University Despite decades of research, we don’t see...

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