Adopting Generative AI: Fueling Innovation and Unlocking Creative Potential
Author(s): Nick Minaie, PhD Originally published on Towards AI. In the ever-changing world of artificial intelligence (AI), generative AI has caught our attention as an innovative technology with exciting potential. It empowers machines to generate fresh and unique content that bears a …
Falcon 40B — Data Powered AI Revolution
Author(s): M. Haseeb Hassan Originally published on Towards AI. Falcon 40B — Data Powered AI Revolution (Source: Image by the author) Falcon-40B is an advanced step in the world of Large Language Models (LLMs). It is a foundational language model that is …
Unleashing the Power of AI/ML in Enterprises — A Battle between Top-Down and Bottom-Up Strategies
Author(s): Nick Minaie, PhD Originally published on Towards AI. Striking the Balance for Successful Adoption and Transformation With a career spanning over two decades in the industry, I have gained extensive experience as a management consultant and data science leader, advising C-suite …
Building a Scalable Data Science Team for Success: From Data to Knowledge
Author(s): Nick Minaie, PhD Originally published on Towards AI. A Data Science Manager’s Guide to Success In today’s data-driven world, organizations recognize the immense value of data science in driving business insights and innovation. To fully leverage the power of data, building …
Unleashing the Power of Feature Stores: How They Can Supercharge Your MLOps
Author(s): Natalia Koupanou Originally published on Towards AI. Discover the Benefits of Feature Stores for Streamlined and Efficient MLOps Edited Photo by Joshua Sortino If you’re interested in Machine Learning Operations (MLOps), you’ve probably heard about feature stores. But what exactly are …
Forget ChatGPT; These AI Tools Are Killing It Right Now
Author(s): Claire D. Costa Originally published on Towards AI. Since ChatGPT made its big debut, it has been in talks which made it quite popular that even Google feared that ChatGPT might take over its existence. ChatGPT has had a great influence …
Top 10 Statistics Mistakes Every Data Scientist Should Avoid
Author(s): Anmol Tomar Originally published on Towards AI. 1. Selection Bias Top highlight Image Credit: Unsplash Statistics plays a crucial role in data science, helping us draw meaningful insights from data and make informed decisions. However, even the most experienced data scientists …
Empowering Computer Vision with Zero-Shot Learning in the Data-Centric Small Data Age
Author(s): Luhui Hu Originally published on Towards AI. Photo by Jeremy Perkins on Unsplash Inside zero-shot learning from OpenAI CLIP, Microsoft RegionCLIP, and Meta SAM The era of big data has provided Machine Learning (ML) and Computer Vision (CV) with ample fuel …
Build a Triton Inference Server with MNIST Example: Part (1/4)
Author(s): Hao WEI Originally published on Towards AI. a step-by-step coding practice In this series of blogs, we will walk through how to build a triton inference server, host it in AWS ECS, and accelerate the speed using tensorRT. We will use …
Inside Open Assistant: The Open Source Platform for Light, High-Performance LLMs
Author(s): Jesus Rodriguez Originally published on Towards AI. Open Assistant has become one of the most popular projects in the foundation model space. Top highlight I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS …
Master the Power of RegEx: A Step-by-Step Guide
Author(s): Tushar Aggarwal Originally published on Towards AI. {This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of RegEx} By Tushar-Aggarwal.com Regular Expressions, or RegEx, is a powerful tool for text processing and …
Build a Triton Inference Server with Preprocess and Postprocess: Part (2/4)
Author(s): Hao WEI Originally published on Towards AI. A step-by-step coding practice a step-by-step coding practice pub.towardsai.net In my last blog, we built a bare minimum triton server using an MNIST example. In the example, we did preprocessing and postprocessing in the …
Unlocking the Power of Cross-Validation
Author(s): Roli Trivedi Originally published on Towards AI. A Comprehensive Guide to Optimizing Model Performance Photo by Gilly on Unsplash Cross-validation is a popular technique in machine learning and statistical analysis that involves dividing a dataset into subsets to assess and validate …
Three Insidious Data Fallacies to Recognise in the Age of AI
Author(s): John Adeojo Originally published on Towards AI. A Brief Examination of Data Fallacies and Their Influence on Decisions Image by Author: Generated with Midjourney In the age of AI, business leaders are becoming increasingly aware of the merits of a data-driven …
SpeakGPT Instead of ChatGPT! Let’s Do the Data Project by Just Speaking!
Author(s): Gencay I. Originally published on Towards AI. Unleashing the Power of ChatGPT in Data Science by Speaking Created in LeonardoAI Last day, I was analyzing my transactions by using Python. At that time, my cat jumps into my lap and wants …
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