Exploration of Markov’s and Chebyshev’s Inequality: It’s Application in Data Science
Author(s): Ghadah AlHabib Originally published on Towards AI. Image generated by ChatGPT Introduction to Markov’s Inequality Markov’s inequality provides an upper bound on the probability that a non-negative random variable is at least as large as a certain value or threshold. It …
Build a Real-time Speech Recognition Sentiment Analysis Tool
Author(s): Barri Sambaris Originally published on Towards AI. A guide to building a sentiment analysis tool with Streamlit and NLP for customer call centers where audio is automatically translated to text and processed to get the sentiment of the caller. Photo by …
Transformers in AI: The Attention Timeline, From the 1990s to Present
Author(s): Thiongo John W Originally published on Towards AI. Photo by Arseny Togulev on Unsplash What we call transformer architecture today has taken more than three decades to evolve into its present state. The following is an exploration into the three decades …
Assessing Bias in Predictive Models with PROBAST
Author(s): Eera Bhatt Originally published on Towards AI. PROBAST. No, this bast is not the tree bark that helps us make ropes. Instead, PROBAST stands for Prediction Model Risk Of Bias ASsessment Tool. But why do we need it? We live in …
The Power of Query Translation Techniques
Author(s): Mostafa Ibrahim Originally published on Towards AI. In this article, we delve into the power of query translation techniques, exploring how they enhance search accuracy and efficiency by transforming user queries into structured, understandable formats for search systems.Source: Dall-E In the …
Building & Deploying a Speech Recognition System Using the Whisper Model & Gradio
Author(s): Youssef Hosni Originally published on Towards AI. Speech recognition is the task of converting spoken language into text. This article provides a comprehensive guide on building and deploying a speech recognition system using OpenAI’s Whisper model and Gradio. The process begins …
LLMs Can Self-Reflect
Author(s): Vatsal Saglani Originally published on Towards AI. Exploring how we can evaluate LLM responses with LLMsImage generated by ChatGPT When working with LLMs, we’re often confused about the quality of output the LLM has generated. This is the case when we …
Getting Started with LLM Inference Optimization: Best Resources
Author(s): Youssef Hosni Originally published on Towards AI. Combining layers in transformer models makes them bigger and better at understanding language tasks. But making these big models costs a lot to train and they need a lot of memory and computer power …
Build a Recommendation System using BERT & Pinecone 🔥
Author(s): Karan Kaul | カラン Originally published on Towards AI. Build a Recommendation System using BERT & Pinecone 🔥 Photo by Timothy Dykes on Unsplash Overview We want to build a system that will recommend similar news articles, for the users to …
EP1: Fraud Detection at Scale — Stripe Radar Case Study
Author(s): Euclidean AI Originally published on Towards AI. Welcome to the first episode of ‘Holy AI?!’, your go-to newsletter for all things AI and data science. In today’s episode, we’re diving into a crucial topic: Fraud Detection at Scale, and we will …
Drawing the Four Neural Networks that Changed AI
Author(s): Jake Manger Originally published on Towards AI. Making beautiful visualizations and writing about AI’s most influential models with PlotNeuralNetA diagram of LeNet-5 generated with PlotNeuralNet. Image by Author. I’ve recently been writing a paper where we developed a new model architecture …
Graph Neural Networks (GNN) — Concepts and Applications
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Exploring the concept and applications of Graphs, and how to apply Neural Networks to itImage by Alina Grubnyak on Unsplash We have seen the power of Machine Learning in drawing insights about data …
Top Important LLMs Papers for the Week from 13/05 to 19/05
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 …
History, AI, and Non-Consumption: Part I, Winter is Coming!
Author(s): Adel Zaalouk Originally published on Towards AI. “One age cannot be completely understood if all the others are not understood. The song of history can only be sung as a whole” — José Ortega y Gasset From: https://twitter.com/CEO_AISOMA/status/1333727609759404040 Thanks for reading …
KAN (Kolmogorov-Arnold Networks) Explained
Author(s): Jack Chih-Hsu Lin Originally published on Towards AI. A simple and concise summary about KANs. Every multivariate continuous function can be represented as a superposition of the two-argument addition of continuous functions of one variable. refrefref f(x) is a continuous function …
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