Apoorv Gupta 2023-12-05 13:16:27 aws.amazon.com Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2, Falcon, and StarCoder. Customers are now training …
LLMs for Everyone: Running LangChain and a MistralAI 7B Model in Google Colab | by Dmitrii Eliuseev | Dec, 2023
Dmitrii Eliuseev 2023-12-05 12:35:05 towardsdatascience.com Experimenting with Large Language Models for free Artistic representation of the LangChain, Photo by Ruan Richard Rodrigues, Unsplash Everybody knows that large language models are, by definition, large. And even not …
Compute the Distance Matrix of a Set of Sites from Their Coordinates in Python | by Carlos J. Uribe
Carlos J. Uribe 2023-12-05 01:16:24 towardsdatascience.com To build a distance matrix, we need to obtain the distance between any pair of locations. Sounds simple, but “distance” really depends on the context. Do we consider the number …
How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch
Nafi Ahmet Turgut 2023-12-04 09:57:37 aws.amazon.com This is a guest post co-authored by Nafi Ahmet Turgut, Hasan Burak Yel, and Damla Şentürk from Getir. Established in 2015, Getir has positioned itself as the trailblazer in the …
Introduction to Multithreading and Multiprocessing in Python
Aryan Garg 2023-12-04 12:00:18 www.kdnuggets.com Image by Author This tutorial will discuss leveraging Python’s capability to execute multithreading and multiprogramming tasks. They offer a gateway to perform concurrent operations within a single process or across …
Roadmap for Transitioning to Data Analytics | by Thu Vu | Nov, 2023
Thu Vu 2023-12-04 10:30:02 towardsdatascience.com If you are working in another field, how can you transition to data analytics? You may have a university degree in an unrelated field, or have been working in a completely …
Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting
Robert Van Dusen 2023-11-29 19:40:52 aws.amazon.com In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and …
LLM and GNN: How to Improve Reasoning of Both AI Systems on Graph Data | by Anthony Alcaraz | Dec, 2023
Anthony Alcaraz 2023-12-03 13:06:12 towardsdatascience.com Graph neural networks (GNNs) and large language models (LLMs) have emerged as two major branches of artificial intelligence, achieving immense success in learning from graph-structured and natural language data respectively. As …
Introducing Amazon SageMaker HyperPod to train foundation models at scale
Brad Doran 2023-11-30 12:46:26 aws.amazon.com Building foundation models (FMs) requires building, maintaining, and optimizing large clusters to train models with tens to hundreds of billions of parameters on vast amounts of data. Creating a resilient environment …
Who Does What Job? Occupational Roles in the Eyes of AI | by Yennie Jun | Dec, 2023
Yennie Jun 2023-12-02 01:00:04 towardsdatascience.com How GPT models’ view on occupations evolved over time Word cloud showing the top occupations generated by GPT-4 when prompted with “The woman/man works as a …”. Image created by the …
Regularisation Techniques: Neural Networks 101 | by Egor Howell | Dec, 2023
Egor Howell 2023-12-02 00:04:16 towardsdatascience.com How to avoid overfitting whilst training your neural network https://www.flaticon.com/free-icons/neural-network. title=”neural network icons.” Neural network icons created by Vectors Tank — Flaticon. Background What is Overfitting? Lasso (L1) and Ridge (L2) …
Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning
Chida Sadayappan 2023-12-01 15:40:02 aws.amazon.com The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world. However, building ML models requires significant time, effort, and specialized expertise. From …
Free MIT Course: TinyML and Efficient Deep Learning Computing
Kanwal Mehreen 2023-12-01 10:00:05 www.kdnuggets.com Image by Author In today’s tech-savvy world, we’re surrounded by mind-blowing AI-powered wonders: voice assistants answering our questions, smart cameras identifying faces, and self-driving cars navigating roads. They’re like …
Sklearn Tutorial: Module 3
Yoann Mocquin 2023-12-01 02:09:35 towardsdatascience.com I took the official sklearn MOOC tutorial. Here are my takeaways. Continue reading on Towards Data Science » Source Link
Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements
Melanie Li 2023-11-30 15:43:49 aws.amazon.com Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. SageMaker makes it …
5 Free Courses to Master Data Engineering
Cornellius Yudha Wijaya 2023-11-30 08:00:16 www.kdnuggets.com Image by storyset on Freepik It’s an exciting time for the data field, and data engineers play a big part in it. With preparing and managing the data infrastructure, …
The Power of Retrieval Augmented Generation: A Comparison between Base and RAG LLMs with Llama2
Luís Roque 2023-11-29 13:45:02 towardsdatascience.com A deep dive into tailoring pre-trained LLMs for custom use cases using a RAG approach, featuring LangChain and Hugging Face integration This post was co-authored with Rafael Guedes. Since the release …
Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs
Anchit Gupta 2023-11-29 15:07:56 aws.amazon.com Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. Amazon SageMaker notebook jobs allow data scientists to run their …
The History of Open-Source LLMs: Imitation and Alignment (Part Three) | by Cameron R. Wolfe, Ph.D. | Nov, 2023
Cameron R. Wolfe, Ph.D. 2023-11-28 16:04:52 towardsdatascience.com Open-source LLMs need alignment to become truly remarkable… 20 min read · 12 hours ago (Photo by Joanna Kosinska on Unsplash) A majority of prior research on open-source large …
5 Code Optimization Techniques To Speed Up Your Programs | by Nicholas Obert | Nov, 2023
Nicholas Obert 2023-11-29 04:03:26 towardsdatascience.com Make your code more efficient and professional with these language-agnostic methods Photo by Shubham Dhage on Unsplash Make it work first, then make it fast. This is one common principle many …
Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas
Daryl Martis 2023-11-27 12:03:34 aws.amazon.com This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the third post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. …
From the Perceptron to Adaline. Setting the foundations right | by Pan Cretan | Nov, 2023
Pan Cretan 2023-11-28 03:32:41 towardsdatascience.com Setting the foundations right Photo by Einar Storsul on Unsplash Introduction In a previous article I tried to explain the most basic binary classifier that has likely ever existed, Rosenblatt’s perceptron. …
Boost inference performance for LLMs with new Amazon SageMaker containers
Michael Nguyen 2023-11-27 15:06:59 aws.amazon.com Today, Amazon SageMaker launches a new version (0.25.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs) and adds support for NVIDIA’s TensorRT-LLM Library. With these upgrades, you can effortlessly access …
Introducing three new NVIDIA GPU-based Amazon EC2 instances
Chetan Kapoor 2023-11-27 18:14:48 aws.amazon.com Amazon Elastic Compute Cloud (Amazon EC2) accelerated computing portfolio offers the broadest choice of accelerators to power your artificial intelligence (AI), machine learning (ML), graphics, and high performance computing (HPC) workloads. …