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 …
Connect Colab to GCS Bucket Using gcsfuse
Author(s): Maciej Zieniewicz And do it in less than 10 lines of code! Continue reading on Towards AI » Published via Towards AI …
Creating AI Web Apps using TensorFlow, Google Cloud Platform, and Firebase
Author(s): Jonathan Quijas Machine Learning, Cloud Computing From the Sandbox to the Cloud: How to Easily Deploy your Machine Learning Models into Production Web Applications Photo by James Lee on Unsplash Introduction Training Machine Learning models for a web app with ML functionalities …
AWS Redshift ETL using Pandas API
Author(s): Vivek Chaudhary Cloud Computing The Objective of this blog is to perform a simple ETL exercise with AWS Redshift Database. Oracle Database tables are used as the source dataset, perform simple transformations using Pandas methods on the dataset and write the …
Why Moving to the Cloud is Inevitable
Author(s): Tim Cvetko The Reason Why Cloud Services Have The Upper Hand In The Big Data Process Continue reading on Towards AI » Published via Towards AI …
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