Mapping the inferno: Harnessing Sentinel-2 satellites and Python to build a wildfire perimeter
Author(s): Ruiz Rivera Originally published on Towards AI. Mapping the inferno: Harnessing Sentinel-2 satellites and Python to build a wildfire perimeter Photo by Husky Haven In Canada’s westernmost province, British Columbia, the uptick in the severity and occurrence of wildfires have caused …
How To Set Up a Google Earth Engine Cloud Project
Author(s): Ruiz Rivera Originally published on Towards AI. Photo by SpaceX on Unsplash In the realm of environmental monitoring and geospatial analysis, Google Earth Engine (GEE) stands out as a game-changing platform. For researchers, data scientists, and environmental professionals, creating a Google …
Small AI Models Will Takeover Frontier Models At Specific Tasks
Author(s): Lorenzo Zarantonello Originally published on Towards AI. The increasing costs and diminishing returns of training LLMs create the ground to optimize small AI models. This member-only story is on us. Upgrade to access all of Medium. Until recently, big tech and …
Building a Simple Linear Regression Model on Azure to Predict Car Prices
Author(s): Julius Nyerere Nyambok Originally published on Towards AI. Hello there, gentle reader!I am Nyerere Julius, an aspiring machine learning engineer and cloud solution specialist, deeply intrigued by the vast possibilities that AI and ML offer. In this project, I’ll guide you …
On Stochastic Parrots: Paper Review
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by David Clode on Unsplash Introduction A stochastic parrot is a metaphor often used to describe Artificial Intelligence, specifically language models. Parrots are known to mimic human language. Parrots learn to speak human …
Learning Kubernetes the Right Way In 2024
Author(s): Mélony Qin (aka cloudmelon) Originally published on Towards AI. Do you know OpenAI is deployed on Kubernetes and scaling to 7,500 worker nodes? When we talk about Kubernetes slots into microservices architecture, when we talk about a single unit of the …
15 Leading Cloud Providers for GPU-Powered LLM Fine-Tuning and Training
Author(s): Towards AI Editorial Team Originally published on Towards AI. Demand for building products with Large Language Models has surged since the launch of ChatGPT. This has caused massive growth in the computer needs for training and running models (inference). Nvidia …
Remote VS Code with GCP
Author(s): Edward Krueger Originally published on Towards AI. Setting up your remote workflow using the Google Cloud Platform. In this article, we provide a comprehensive guide on how to set up a remote development environment on the Google Cloud Platform (GCP) using …
The Difference Between Open Source Models and Commercial AI/ML APIs
Author(s): Othmane Hamzaoui Originally published on Towards AI. Photo by Aron Visuals on Unsplash In the last few months, you probably came across countless debates about wether you should use open source or commercial APIs for Large Language Models (LLMs). However, this …
The LLM Land Grab: How AWS, Azure, and GCP Are Sparring Over AI
Author(s): Tabrez Syed Originally published on Towards AI. In the early 2000s, cell phones were still bulky and utilitarian. But in July 2004, Motorola unveiled the Razr, with its sleek, ultra-thin aluminum body that was a stark departure from the basic phones …
The quest for the perfect AI solution
Author(s): Rami Iguerwane Originally published on Towards AI. Navigating the AI Adoption Maze Reflecting on five years of helping businesses innovate with AI, uncovering common hurdles, and embracing the lessons learned. Photo by Ben Mathis Seibel on Unsplash Over the past five …
In-depth Azure Machine Learning Model Train, Test, and Deploy Pipelines on Cloud With Endpoints for Web APIs
Author(s): Amit Chauhan An image by the Author The workspace consists of various artifacts Manage resources: It includes compute instances and compute clusters. Linked Services: Data Stores: It is a service to store various data. For example — Blob storage, hive storage, …
How we connected Amazon S3 to Microsoft PowerBI… in 5 minutes…
Author(s): Ilyas Iyoob, PhD, and Umar Iyoob PowerBI has quickly risen to become the default dashboarding tool for many business users, while S3 continues to remain the default object store for technical users. So, what would seem like an effortless connection between …
Databricks PySpark Type 2 SCD Function for Azure Synapse Analytics
Author(s): Rory McManus Slowly Changing Dimensions (SCD) is a commonly used dimensional modelling technique used in data warehousing to capture the changing data… Continue reading on Towards AI » Published via Towards AI …
Microsoft Azure Synapse Analytics Workspace vs. Snowflake Data Cloud
Author(s): Karthikeyan Siva Baskaran Significant criteria to evaluate before Choosing cloud Data Warehouse (Azure Synapse and Snowflake) & how well integration with Azure works Continue reading on Towards AI » Published via Towards AI …
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