Machine Learning

Deep Learning with Keras – Part 4: Classification

Classification Introduction Welcome to Part 3 of Deep Learning with Keras. The goal of this series is to get you familiar with the famous deep learning...

How Wearable AI Will Increase Human Intelligence

The world of artificial intelligence is changing, adapting, and developing new technologies every day. Technology advancements that were once thought to be the stuff...

How 6G Will Change Our Lives with AI

No, 6G isn't here yet: but with 5G currently being rolled out in various locations around the world, it's only a matter of time...

Regression with Keras (Deep Learning with Keras – Part 3)

Regression After two introductory tutorials, its time to build our first neural network! The network we are building solves a simple regression problem. Regression is...

Are Self-Service Machine Learning Models the Future of AI Integration?

For some years, Artificial Intelligence (AI) and Machine Learning (ML) becoming part and parcel of modern business solutions. While both of these technologies are...

Data Pre-processing for Deep Learning models (Deep Learning with Keras – Part 2)

Link to Part 1. Dealing with Data Motivation Training deep learning models requires data... A lot of data! Unfortunately, in most cases data comes messy,...

Deep Learning with Keras Tutorial – Part 1

About this series This post is the first part of Deep Learning with Keras series. This series aims to introduce the Keras deep learning library and...

How to Connect Google Colab with Google Drive

In this tutorial, you’ll learn how to connect your Google Colab with Google Drive to build some Deep Learning model on Google Colab. In...

List of Data Science and Machine Learning GitHub Repositories to Try in 2019

Here is the list of selected Data Science and Machine Learning GitHub Repositories to Try in 2019 Paper with Code Facebook’s Detectron Training a Model on the...

Top Artificial Intelligence Books to Read in 2019

1. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one...

How Generative Adversarial Networks (GANs) work?

Generative Adversarial Networks were first introduced in 2014 in a research paper. They have also been called  β€œthe most interesting idea in the last...

Combining Deep and Reinforcement learning

Machine learning fundamentally involves learning from the data and making conclusions/decisions about a given problem. It utilizes the following popular approaches. Supervised learning: In supervised...

Galileo Introduces Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High...

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The Galileo Luna represents a significant advancement in language model evaluation. It is specifically designed to address the prevalent issue of hallucinations in large...

Yandex Introduces YaFSDP: An Open-Source AI Tool that Promises to Revolutionize LLM Training by...

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Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced...

Gretel AI Releases a New Multilingual Synthetic Financial Dataset on HuggingFace πŸ€— for AI...

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Detecting personally identifiable information PII in documents involves navigating various regulations, such as the EU’s General Data Protection Regulation (GDPR) and various U.S. financial...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

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Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

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Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

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