Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! One of the major roadblocks for those diving into AI now is not knowing where to start. I tried to make that part easier with this GitHub Repository I created for those without any background in the field: a complete guide to start and improve in ML and AI. If you dream of working with large language models (LLMs) and have a good programming background, I also created this one for you: Start with Large Language Models (LLMs) — Become an expert for free! If you enjoy reading the above guides ..read more

Author(s): Francis Adrian Viernes Originally published on Towards AI. Reverse Engineering The SciKit ImplementationPhoto by Mel Poole on Unsplash Understanding how an algorithm works is interesting as it provides some insights into why an implementation may not be as one would expect. It likewise provides an opportunity for customization to fit the unique setup of datasets, including the addition of conditionals. In my pursuit of understanding the concepts behind our popular algorithms, the best way to confirm success is to validate through the output provided by popular packages. This is not ..read more

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we were again watching developments in AI-powered robots and LLMs. A collaboration between Nvidia and UPenn released DrEureka, a new open-source model that uses an LLM agent to write code for training robots in simulation and then write further code to transfer to real-world deployment. Tesla also released a video update on the progress of its Optimus robot, demonstrating many robots being trained on different tasks via human teleoperation. The neural net is run end to end ..read more

Author(s): Saankhya Mondal Originally published on Towards AI. In financial institutions, credit default occurs when a borrower fails to fulfill their debt obligations, leading to a breach of the loan agreement. It represents the risk that a borrower will default on their debt, impacting lenders and investors. Machine learning models are increasingly being used for the predictive modeling of credit default. A typical SHAP Plot — Image by Author In Part 1 of Data Science Case Study — Credit Default Prediction, we have talked about feature engineering, model training, model evaluation and classi ..read more

Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 165,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers, and concepts. Please give it a try by subscribing below: TheSequence | Jesus Rodriguez | Substack The best source to stay up-to-date with the developments in the machine learning, artificial intelligence, and data… thesequ ..read more

Author(s): Vishal Rajput Originally published on Towards AI. Lately, it seems that the entire AI community has become about one and one thing only, LLMs. They are cool in their own way, but they are not the entire AI field. In all the LLMs and AI agent hype a paper like Kolmogorov–Arnold Networks is a breath of fresh air. This paper seems quite groundbreaking and might completely change the field. Rarely do we see papers challenging the fundamentals of AI, but this one seems to do it. MLPs or Multi-layer perception sit at the very bottom of AI architectures. Dense layer (MLPs) is part of almos ..read more

Author(s): Hesam Sheikh Originally published on Towards AI. GPT-4 is fantastic, but is it good enough to be a Game Engine? I tried this with Flappy Bird, using a simple LangChain program and some Prompt Engineering.Flappy Bird in ChatGPT version. We all know Flappy Bird, the simple game of a bird avoiding pipes (the bird is called Faby if you didn’t know :D). It’s a good practice project for beginner programmers. After seeing Code Bullet fail to use ChatGPT as a game engine for Flappy Bird, I was determined to take up the challenge! It’s a cool video by the way. ✨This is a paid article. If you ..read more

Author(s): Laszlo Fazekas Originally published on Towards AI. A few weeks ago, I had an MRI scan. That’s when it occurred to me to wonder how complicated it would be to evaluate MRI images with the help of AI. I had always thought that this was a complex problem that only universities and research institutes dealt with. Eventually, I had to realize that it’s actually not that difficult a task, and in fact, there are simple, well-proven methods for this. Obviously, the first question is how to read MRI scans with Python. Fortunately, most MRI devices produce data in DICOM format, from which gra ..read more

Author(s): Saankhya Mondal Originally published on Towards AI. In financial institutions, credit default occurs when a borrower fails to fulfill their debt obligations, leading to a breach of the loan agreement. It represents the risk that a borrower will default on their debt, impacting lenders and investors. Machine learning models are increasingly being used for predictive modelling of credit default. We have to design a binary classifier to predict whether or not a customer will default given he/she has been provided a loan by a bank. Image Generated Using Stable Diffusion This article is ..read more

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! There’s been a lot of exciting stuff happening in ‘real-world AI’ in the last few weeks. The last few weeks have seen a massive increase in the number of open source releases with DBRX, Jamba, Qwen1.5, Samba-CoE v0.2, Starling-LM-7B-beta, xAI’s Grok 1.5, Mistral’s 7B v2, Wild 1-bit and 2-bit quantization with HQQ+, Llama 3, and now Phi-3. This is quite exciting for everyone in AI, especially our community. I’m trying to keep up with it all, but I would love to hear your thoughts on this shift ..read more