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. …
Top Important Computer Vision Papers for the Week from 29/04 to 05/05
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in various topics such as diffusion models, vision language models, image editing and generation, …
Prompt Engineering Best Practices: LLM Output Validation & Evaluation
Author(s): Youssef Hosni Originally published on Towards AI. Validating Output from Instruction-Tuned LLMs Checking outputs before showing them to users can be important for ensuring the quality, relevance, and safety of the responses provided to them or used in automation flows. In …
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 …
Unveiling the Future: Mastering Stock Market Prediction with PMDARIMA
Author(s): Himanshu Sharma Originally published on Towards AI. Unlock the Secrets of Stock Market Forecasting with Python’s PMDARIMA LibraryStock Prediction(Source: By Author) Predicting stock market prices is a challenging yet crucial task for investors and financial analysts. The ability to forecast future …
Best Resources to Learn & Understand Evaluating LLMs
Author(s): Youssef Hosni Originally published on Towards AI. Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily …
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 …
Exploring HENet: Forcing a Network to Think More for Font Recognition: A Brief Overview
Author(s): Vincent Liu Originally published on Towards AI. An end-to-end font recognition networkSource: Image by Anatoly777 from Pixabay How to identify the font of the text in an image? For one comes from the image processing background may say: Template Matching. Others …
Top Important LLM Papers for the Week from 22/04 to 28/04
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the …
Top Important Computer Vision Papers for the Week from 22/04 to 28/04
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, …
Advanced SQL for Data Analysis —Part 1: Subqueries and CTE
Author(s): Carlos da Costa Originally published on Towards AI. Photo by Luke Chesser on Unsplash As query complexity increases, there is a growing need to keep the code organized, modular, and readable. Therefore, it is important to know techniques to maintain code …
Exploration of CDFs: Their Applications in Data Science
Author(s): Ghadah AlHabib Originally published on Towards AI. Image generated by ChatGPT Introduction to CDFs Cumulative Distribution Functions (CDF) are functions that represent the probability of a random variable X that takes on a value less than or equal to a specific …
Critical Ideas Behind What Powers LLMs
Author(s): Vishnu Regimon Nair Originally published on Towards AI. Chronological display of LLM releases. Image by Naveed, Humza, et al. from arXiv.org— [1] In recent years, the ascent of Large Language Models (LLMs) such as GPT-4 and LLaMA has paved the way …
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