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Areas Served: This AI newsletter is all you need #61
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie In recent months we have continued to see large language model (LLM) advancements and a gradual introduction of novel techniques but we haven’t yet …
How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?
Author(s): AlishaS Originally published on Towards AI. Machine Learning vs. AI vs. Deep Learning vs. Neural Networks: What’s the Difference? The rapid evolution of technology is molding our everyday existence as businesses turn more and more to sophisticated algorithms for efficiency. Amidst …
Generative Adversarial Networks (GANs) for Image Augmentation
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Designing customized GANs for image-to-image translation to augment glasses onto faces This member-only story is on us. Upgrade to access all of Medium. Image by Annie Spratt on Unsplash Quick Note: I will …
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 …
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 …
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 …
What Are Large Language Models?
Author(s): Youssef Hosni Originally published on Towards AI. Embarking on a Journey with Large Language Models (LLMs) This member-only story is on us. Upgrade to access all of Medium. The world of artificial intelligence has been revolutionized by the emergence of Large …
How to Speedup Inference by Up to 9x on a x86 CPU with Pytorch
Author(s): Nour Islam Mokhtari Originally published on Towards AI. The complete guide on how to achieve some impressive results with a few lines of code! This member-only story is on us. Upgrade to access all of Medium. Image generated using StableDiffusion To …
Transformers and Positional Embedding: A Step-by-Step NLP Tutorial for Mastery
Author(s): Rokas Liuberskis Originally published on Towards AI. CNNs and RNNs vs. Transformers This member-only story is on us. Upgrade to access all of Medium. https://www.youtube.com/embed/S_PqkxUP2PY I am starting a new tutorial series about Transformers. I’ll implement them step-by-step in TensorFlow, explaining …
Multimodal Language Models Explained: Visual Instruction Tuning
Author(s): Ali Moezzi Originally published on Towards AI. An introduction to the core ideas and approaches to move from unimodality to multimodal LLMs LLMs have shown promising results on both zero-shot and few-shot learning on many natural language tasks. Yet, LLMs are …
This AI newsletter is all you need #59
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week changes to Zoom’s terms of service (from March) were brought into focus after fears over their use of customer video data went …
This AI newsletter is all you need #58
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we were excited to see two new developments in AI outside the realm of NLP. The latest development from Meta AI involves …
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 …
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