jupyter notebook

Large Language Models (LLMs) are advanced artificial intelligence systems designed to understand and generate natural language text. They are trained on extensive datasets of text from the internet including books, websites, and articles, allowing them to learn language patterns, grammar, and a wide range of information. As a result, LLMs generate coherent and contextually relevant text based on the input they receive. LLMs are constantly evolving and learning new tricks, pushing the boundaries of what's possible with…

The calculation of the norm of vectors is essential in both artificial intelligence and quantum computing for tasks such as feature scaling, regularization, distance metrics, convergence criteria, representing quantum states, ensuring unitarity of operations, error correction, and designing quantum algorithms and circuits. You will learn how to calculate the Euclidean (norm/distance), also known as the L2 norm, of a single-dimensional (1D) tensor in Python libraries like NumPy, SciPy, Scikit-Learn, TensorFlow, and…

Scaling up a business requires innovation, and one area is experiencing rapid growth: machine learning (ML). Research shows that the global machine-learning industry will reach a whopping $20.83 billion in 2024, surging at a CAGR of 44.06% from 2017 to 2024. One of the reasons machine learning is growing at such a tremendous rate is Amazon SageMaker. Machine learning has a wide range of applications. To explore this in a detailed manner, Amazon Web Services (AWS) offers many tools, and one such service that we will talk…

In the rapidly evolving landscape of technology, Generative AI stands as a revolutionary force, transforming how developers approach complex problems and innovate. This article delves into the world of Generative AI, uncovering frameworks and tools that are essential for every developer. 1. LangChain Developed by Harrison Chase and debuted in October 2022, LangChain serves as an open-source platform designed for constructing sturdy applications powered by LLMs, such as chatbots like ChatGPT and various tailor-made…

Welcome to the sixth blog post in our “Kubeflow Fundamentals” series specifically designed for folks brand new to the Kubelfow project. The aim of the series is to walk you through a detailed introduction of Kubeflow, a deep-dive into the various components, add-ons, and how they all come together to deliver a complete MLOps platform. If you missed the previous installments in the “Kubeflow Fundamentals” series, you can find them here: In this post, we’ll focus on getting a little more familiar with Jupyter notebooks and…

Our Data team is responsible for crunching, reporting, and serving data. The team also does data integrations with other systems and creates machine and deep learning models.With this post, we intend to share our favorite tools, which are proven to run with thousands of millions of pieces of data. Scaling processes in real-world scenarios is a hot topic among new people coming to data science.    R or Python?Well... both!  R is a GNU project, thought of as a statistical data language. It was originally…

NVIDIA NeMo is a toolkit for building new state-of-the-art conversational AI models. NeMo has separate collections for Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Text-to-Speech (TTS) models. Each collection consists of prebuilt modules that include everything needed to train on your data. Every module can easily be customized, extended, and composed to create new conversational AI model architectures. So let's explain briefly what is the ASR, NLP, and TTS models. ASR, short for…