Mastering Causal Inference with Python: A Guide to Synthetic Control Groups
Author(s): Lukasz Szubelak Originally published on Towards AI. Photo by Isaac Smith on Unsplash One can feel intrigued when a newspaper like the Washington Post writes an article about the statistical method. Statistical modeling isnβt usually the most exciting topic. However, in …
Design a Multi-Layer Perceptron (MLP) Neural Network for Classification
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Girl with red hat on Unsplash Overview This project solves a classification problem with a multilayer perceptron designed from the ground up. The model is used to predict if a customer is …
When More is More? When For an LLM is Enough?
Author(s): Salvatore Raieli Originally published on Towards AI. In-context length is the LLMβs 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. β James …
Top Important LLM Papers for the Week from 29/04 to 05/05
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 …
Hypothesis Testing Simplified.
Author(s): Karan Kaul | γ«γ©γ³ Originally published on Towards AI. Photo by Dan Cristian PΔdureΘ on Unsplash Storytime Imagine this β You got a new personal high score of 98 on your favourite game. You feel proud of this achievement & you …
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 AIβs 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 KolmogorovβArnold 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 userβs …
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 Pythonβs 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 β 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 …
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