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Top Important Computer Vision Papers for the Week from 4/9 to 10/9
Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Computer Vision Research This member-only story is on us. Upgrade to access all of Medium. Computer vision, a field of artificial intelligence that enables machines to interpret and understand the …
7 Lessons From Fast.AI Deep Learning Course
Author(s): Mariya Mansurova Originally published on Towards AI. What I’ve learned from the most popular DL course Photo by Sincerely Media on Unsplash I’ve recently finished the Practical Deep Learning Course from Fast.AI. I’ve passed many ML courses before, so that I …
How does “Stable Diffusion” Really Work? An Intuitive Explanation
Author(s): Oleks Gorpynich Originally published on Towards AI. “Stable Diffusion” models, as they are commonly known, or Latent Diffusion Models as they are known in the scientific world, have taken the world by storm, with tools like Midjourney capturing the attention of …
AI is Just a Bad Student.
Author(s): Louis Bouchard Originally published on Towards AI. An analogy to explain how deep learning works… 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/VEhWgVyRINI When …
Reinforcement Learning: SARSA and Q-Learning — Part 3
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Introducing the Temporal Difference family of iterative techniques to solve the Markov Decision Process This member-only story is on us. Upgrade to access all of Medium. Image by Alexey Savchenko on Unsplash In …
Top Important Computer Vision Papers for the Week from 28/8 to 3/9
Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Computer Vision Research This member-only story is on us. Upgrade to access all of Medium. Computer vision, a field of artificial intelligence that enables machines to interpret and understand the …
FuncReAct: ReAct Agent Using OpenAI Function Calling
Author(s): Vatsal Saglani Originally published on Towards AI. Part 2— Setting up the base for the ReAct RAG bot This member-only story is on us. Upgrade to access all of Medium. Prompting techniques. In the previous blog, we got an introduction to …
Choosing the Right GPU Strategy for Your AI Project
Author(s): Ryan Shrott Originally published on Towards AI. Explore the practical implications of purchasing versus renting a GPU for your AI endeavors, using real-life scenarios to guide your decision. This member-only story is on us. Upgrade to access all of Medium. Photo …
Deep Learning Applied to Physics and Fluids
Author(s): Eduardo Vitalbrasil Originally published on Towards AI. Numerical simulations have been used for years to understand the behavior of physical systems; how the fluids interact with a structure, how a geometry is deformed under stress, or even the thermal distribution under …
Reinforcement Learning: Dynamic Programming and Monte Carlo — Part 2
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Introducing two simple iterative techniques to solve the Markov Decision Process This member-only story is on us. Upgrade to access all of Medium. Image by Wil Stewart on Unsplash In the previous article …
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://miro.medium.com/v2/resize:fit:700/1*JUXKFFHjjSfkG4pxDoeLCQ.png)
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 …
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