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Areas Served: When More is More? When For an LLM is Enough?
Author(s): Salvatore Raieli Originally published on Towards AI. In-context length is the LLM’s secret weapon, but with long-context is all changingPhoto by Angely Acevedo on Unsplash It is better to know some of the questions than all of the answers. — James …
K-Means From Scratch: How The Cluster Magic Works
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. …
This AI newsletter is all you need #98
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 …
Data Science Case Study — Credit Default Prediction: Part 2
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 …
Predicting Multiple Tokens at the Same Time: Inside Meta AI’s Technique for Faster and More Optimal LLMs
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. …
Can Kolmogorov–Arnold Networks (KAN) beat MLPs?
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 …
A local YouTube Q&A Engine using Llama.cpp and Microsoft Phi-3-Mini
Author(s): Vatsal Saglani Originally published on Towards AI. The cheapest and easiest way for Video Question AnsweringImage by ChatGPT In my last blog about Microsoft-Phi-3-Mini, I discussed how Small language models (SLMs) like the Phi-3-Mini help with quick experimentations on a user’s …
I Played Flappy Bird in ChatGPT
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 …
Analyzing MRI Scans With AI (Tensorflow) Is Easier Than You Think
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 …
Data Science Case Study — Credit Default Prediction: Part 1
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 …
Learn AI Together — Towards AI Community Newsletter #22
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 …
The Role of AI and Algorithms in Social Media
Author(s): Nimit Bhardwaj Originally published on Towards AI. The Role of AI and Algorithms in Social Media In today’s fast-paced world, social media has become more than just a digital landscape. As a technology now approaching 30 years old [1], it’s an …
This AI newsletter is all you need #97
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie Our focus this week was on real-world testing and fine-tuning of LLama-3 and Phi-3, as well as some exciting progress in medical AI. We …
Understanding Convolutional Neural Network (CNN) — A Guide to Visual Recognition in the AI Era
Author(s): Sanket Rajaram Originally published on Towards AI. Understanding Convolutional Neural Network (CNN) — A Guide to Visual Recognition in the AI Era This article will help you understand the application of conventional artificial neural networks to visual recognition problems. We’ll understand …
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
Author(s): Reza Yazdanfar Originally published on Towards AI. ATFNet is a deep learning model that combines time and frequency domain modules to capture dependencies in time series data. It introduces a novel weighting mechanism to adjust weights based on periodicity, enhances the …
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