Automatic Differentiation with Python and C++ for Deep Learning
Author(s): Luiz doleron Originally published on Towards AI. This story explores automatic differentiation, a feature of modern Deep Learning frameworks that automatically calculates the parameter gradients during the training loop. The story introduces this technology in conjunction with practical examples using Python …
This AI newsletter is all you need #62
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we have been watching development in coding models at META as well as new fine-tuning capabilities at OpenAI. Meta has introduced Code …
Reinforcement Learning: Markov Decision Process — Part 1
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Introducing the backbone of Reinforcement Learning — The Markov Decision Process This member-only story is on us. Upgrade to access all of Medium. Image by Ricardo Gomez Angel on Unsplash In most of …
![10 Cool Things You Can Do With Embeddings! [Part 1]](https://i3.wp.com/miro.medium.com/v2/resize:fit:700/1*JUXKFFHjjSfkG4pxDoeLCQ.png?w=700&resize=700,365&ssl=1 "10 Cool Things You Can Do With Embeddings! [Part 1]")
10 Cool Things You Can Do With Embeddings! [Part 1]
Author(s): Zubia Mansoor Originally published on Towards AI. Apply these concepts to solve real-world industry problems in deep learning Taking a step away from classical machine learning (ML), embeddings are at the core of most deep learning (DL) use cases. Having a …
🦜🔗Build Robust ML Backends with Pydantic and Langchain
Author(s): Marcello Politi Originally published on Towards AI. Learn how to prevent users and LLMs mistakes in your code Photo by Bradley Ziffer on Unsplash This member-only story is on us. Upgrade to access all of Medium. It is well known that …
Learn How to Train Object Detection Models With MMDetection
Author(s): Leon Eversberg Originally published on Towards AI. A step-by-step tutorial on training state-of-the-art AI models with MMdetection 3.1, CVAT, and TensorBoard This member-only story is on us. Upgrade to access all of Medium. Terminal output of a running training process with …
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 …
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