Metas New Text-to-Image Model — CM3leon Paper explained
Author(s): Boris Meinardus Originally published on Towards AI. The new SOTA and highly efficient Text-to-Image(-to-Text!) model. Source: Composition: Author, Image: [1] Meta recently released its new state-of-the-art text-to-image model, called CM3Leon [1], that is NOT based on diffusion like Stable-Diffusion [2], Midjourney, …
Using LangChain and ChatGPT to Explain Python Code
Author(s): Eugenia Anello Originally published on Towards AI. A LangChain tutorial for beginners and experts who want to document code This member-only story is on us. Upgrade to access all of Medium. Photo by Unsplash+ on Unsplash Are you tired of trying …
How Can We Build Machines That Think (and Feel)?
Author(s): Anton Shakov Originally published on Towards AI. Photo by Dylan Hunter on Unsplash A few semesters ago, I had to write an essay for a philosophy course. The guidelines were fairly vague so I used this as a reason to outline …
Platypus: Dataset Curation and Adapters for Better Large Language Models
Author(s): Benjamin Marie Originally published on Towards AI. Achieve low-cost state-of-the-art on your target tasks This member-only story is on us. Upgrade to access all of Medium. Image by the Author — Made from Pixabay illustrations (1 and 2) Meta’s Llama 2 …
How I Built A Video Recommendation System Using Large Language Models and Vector Database
Author(s): Zoumana Keita Originally published on Towards AI. Leverage large language models, state-of-the-art text and speech analytics tools, and vector databases to build an end-to-end audio recommendation solution. This member-only story is on us. Upgrade to access all of Medium. Our generation …
Learn From the Best — 10 Tech Companies Blogs You Must Read
Author(s): Clément Delteil Originally published on Towards AI. Discover Tech Companies Secrets With Their Developer’s Blogs This member-only story is on us. Upgrade to access all of Medium. Photo by The Creativv on Unsplash If, like me, you’re in the habit of …
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 …
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