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Self-Supervised Learning and Transformers? — DINO Paper Explained
Author(s): Boris Meinardus Originally published on Towards AI. How the DINO framework achieved the new SOTA for Self-Supervised Learning! Image adapted from original DINO paper [1]. Transformers and Self-Supervised Learning. How well do they go hand in hand? Some people love the …
A Systematic Approach to Choosing the Best Technology/Vendor: MLOps version
Author(s): Eyal Trabelsi Originally published on Towards AI. The Ultimate Shopping Spree in the ML Shop The emergence of machine learning use cases created a gap in technology which led to too many solutions and buzzwordsU+1F41D. Machine learning is becoming an integral …
Deep Learning Demystified: Unraveling the Secrets of CNN Architecture with CIFAR-10 Dataset
Author(s): Anshumaan Tiwari Originally published on Towards AI. Photo by Tobias Reich on Unsplash In the ever-evolving world of artificial intelligence, Convolutional Neural Networks (CNNs) have emerged as a revolutionary technology, reshaping the fields of computer vision and image recognition. With their …
Meet WebAgent: DeepMind’s New LLM that Follows Instructions and Complete Tasks on Websites
Author(s): Jesus Rodriguez Originally published on Towards AI. The model combines language understanding and web navigation. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) …
From Raw to Refined: A Journey Through Data Preprocessing — Part 1: Feature Scaling
Author(s): Shivamshinde Originally published on Towards AI. Photo by Edward Howell on Unsplash Sometimes, the data we receive for our machine learning tasks isn’t in a suitable format for coding with Scikit-Learn or other machine learning libraries. As a result, we have …
From Raw to Refined: A Journey Through Data Preprocessing — Part 1
Author(s): Shivamshinde Originally published on Towards AI. Photo by Edward Howell on Unsplash Sometimes, the data we receive for our machine learning tasks isn’t in a suitable format for coding with Scikit-Learn or other machine learning libraries. As a result, we have …
AI is among the most fascinating technological trends of the twenty-first century.
Author(s): Jennifer Wales Originally published on Towards AI. 5 Online AI Certification Programs — Explore and Enroll Take a globally recognized AI certification course and earn a certificate to gain AI skills and become eligible for multiple artificial intelligence jobs. An 83% …
How Would You Explain Machine Learning To 9 Years Old?
Author(s): Gencay I. Originally published on Towards AI. Explaining Machine Learning and Data Science for Young Minds This member-only story is on us. Upgrade to access all of Medium. Albert Einstein explaining universe to the kid— Generated with leonardo.ai — Simple Machine …
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 …
Inside SDXL 1.0: Stability AI New Text-to-Image Super Model
Author(s): Jesus Rodriguez Originally published on Towards AI. The new release represents a major improvement over previous versions and matches state-of-the-art models. This member-only story is on us. Upgrade to access all of Medium. Image Credit: Stability AI I recently started an …
The Full Stack 7-Steps MLOps Framework
Author(s): Paul Iusztin Originally published on Towards AI. Preview: Everything you must know about an end-to-end machine learning batch architecture This member-only story is on us. Upgrade to access all of Medium. Photo by Hassan Pasha on Unsplash This article represents an …
Graph Attention Networks Paper Explained With Illustration and PyTorch Implementation
Author(s): Ebrahim Pichka Originally published on Towards AI. A detailed and illustrated walkthrough of the “Graph Attention Networks” paper by Veličković et al. with the PyTorch implementation of the proposed model. Illustration of the message-passing layer in a Graph Attention Network s— …
Forget 32K of GPT4: LongNet Has a Billion Token Context
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Tired of the limitation of 2048, 4096, to 32768 token-context of GPT-3 and GPT-4? Microsoft may have an answer for you (A positive take) This member-only story is on us. Upgrade …
LangChain 101: Part 1. Building Simple Q&A App
Author(s): Ivan Reznikov Originally published on Towards AI. Introduction LangChain is a powerful framework for creating applications that generate text, answer questions, translate languages, and many more text-related things. I’ve been working with LangChain since the beginning of the year and am …
This AI newsletter is all you need #57
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie In the AI world this week, LLM model performance evaluations were a topic of focus. In particular, there was a lively debate around a …
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