Busy? This Is Your Quick Guide to Opening the Diffusion Models Black Box
Author(s): Paul Iusztin Originally published on Towards AI. Decode Stable Diffusion: Train, Generate New Images, & Control Using a Given Context This member-only story is on us. Upgrade to access all of Medium. Prompt: “An oil pastel drawing of a funny cat …
Real World Temporal Anomaly Detection through Supervised Machine Learning and Set Theory
Author(s): Ashutosh Malgaonkar Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Explore Open Data from the City of Seattle Table Of Contents: I. The Problem Statement II. Remodeling time series into a supervised …
What is MLOps
Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. Pietro Jeng on Unsplash MLOps is a set of methods and techniques to deploy and maintain machine learning (ML) models in production reliably and efficiently. Thus, MLOps is the intersection of Machine …
The AI Process
Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. A clear and concise description of the AI software engineering process Jason Leung on Unsplash AI is still considered a relatively new field, so there are really no guides or standards such …
This AI newsletter is all you need #60
Author(s): Towards AI Editorial Team Originally published on Towards AI. Hottest News This member-only story is on us. Upgrade to access all of Medium. As the AI race has accelerated this year, AI chip training and inference capacity have become vital resources, …
Information & Entropy
Author(s): Sushil Khadka Originally published on Towards AI. What, Why, and How explained Photo by Raimond Klavins on Unsplash Use “entropy” and you can never lose a debate, von Neumann told Shannon because no one really knows what “entropy” is. — William …
The Zero Redundancy Optimizer (ZeRO): A Short Introduction with Python
Author(s): Armin Norouzi, Ph.D Originally published on Towards AI. Uncover how Zero Redundancy Optimizer transforms data parallelism, boosting memory and computational efficacy. This member-only story is on us. Upgrade to access all of Medium. source: https://www.microsoft.com/en-us/research/blog/zero-deepspeed-new-system-optimizations-enable-training-models-with-over-100-billion-parameters/ The Zero Redundancy Optimizer (ZeRO) improves …
The Unreasonable Effectiveness of Transfer Learning
Author(s): Satyam Kumar Originally published on Towards AI. Essential guide to multi-output prediction with Keras Functional API This member-only story is on us. Upgrade to access all of Medium. Image by Gerd Altmann from Pixabay Training a complex deep-learning neural network requires …
Inside XGen-Image-1: How Salesforce Research Built, Trained, and Evaluated a Massive Text-to-Image Model
Author(s): Jesus Rodriguez Originally published on Towards AI. One of the most efficient training processes for text-to-image models ever implemented. Image Credit: Salesforce Research I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning …
Gorilla — Enhancing Large Language Models’ Ability to Use API Calls
Author(s): Marcello Politi Originally published on Towards AI. A Finetuned LLaMA-based Model to Improve LLMs’ API Call Accuracy and Adaptability Photo by Valentin Jorel on Unsplash This member-only story is on us. Upgrade to access all of Medium. Large Language Models today …
GANs (Generative Adversarial Networks:)
Author(s): Data Science meets Cyber Security Originally published on Towards AI. We Saw the Generative AI, Now Let’s See How Actually It Is Generated.! IMAGE SOURCE: BY AUTHOR INTRODUCTION: GANs, Generative Adversarial networks, let’s first understand what GANs are. So I have …
From Text to Tangible: 3D-LLM Unleashes Language Models into the 3D World
Author(s): Louis Bouchard Originally published on Towards AI. An overview of the first 3D-LLM This member-only story is on us. Upgrade to access all of Medium. Originally published on louisbouchard.ai, read it 2 days before on my blog! https://www.youtube.com/embed/ADlXEUqIt-8 We’ve seen large …
Langchain 101: Extract structured data (JSON)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. A practical example of controlling output format as JSON using Langchain This member-only story is on us. Upgrade to access all of Medium. Based on the medium’s new policies, I am …
How to Use the Bisection Method for Numerical Computing
Author(s): Chinmay Bhalerao Originally published on Towards AI. Understanding the root-finding bisection method and its working Photo by Andrew on Unsplash WE CAN CONNECT ON :U+007C LINKEDIN U+007C TWITTER U+007C MEDIUM U+007C SUBSTACK U+007C A subfield of computer science and mathematics known …
An Opinion on Brain Inspired Artificial Intelligence. Where Do We Go From Here?
Author(s): Kevin Berlemont, PhD Originally published on Towards AI. Machines still do not pass the Turing test in 2023 This member-only story is on us. Upgrade to access all of Medium. Photo by KOMMERS on Unsplash The Imitation Game, which was the …