Few Shot NLP Intent Classification
Author(s): Marie Stephen Leo Originally published on Towards AI. Comparing SetFit, FastFit, and Semantic Router to find the best NLP chatbot intent detection algorithmImage generated by Author using ChatGPT In the pre-ChatGPT era, chatbot frameworks like Dialogflow and Rasa used intent detection …
How do AI supercomputers train large Gen AI models? Simply Explained
Author(s): Mélony Qin (aka cloudmelon) Originally published on Towards AI. Since the emergence of ChatGPT in 2022, AI has dominated discussions. However, behind the scenes, it’s the AI infrastructure that serves as the engine driving the market’s large GenAI models. These AI …
Inside AlphaFold 3: A Technical View Into the New Version of Google DeepMind’s BioScience Model
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
Kubernetes 101: Grasping the Fundamentals ☸️
Author(s): Afaque Umer Originally published on Towards AI. Kubernetes 101: Grasping the Fundamentals ☸️ Photo by Andrea Zanenga on Unsplash The Problem ⁉️ It’s no secret that the craze for running containerized applications has surged in recent years. The demand for container …
Llama 3 + Llama.cpp is the local AI Heaven
Author(s): Vatsal Saglani Originally published on Towards AI. Build a fully local (nano) DiagramGPT using Llama 3 8B and learn about inline function callingImage by ChatGPT This is the third time in three weeks that I’m writing about developing AI-powered or GenAI-powered …
How to Optimize Chunk Size for RAG in Production?
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. The chunk size can make or break the retrieval. Here is how to determine the best chunk size for your use case. Today, we will examine chunk-size optimization during the development of …
Building LLM Agents Using LangChain & OpenAI API
Author(s): Youssef Hosni Originally published on Towards AI. When we think about large language models (LLM), we often imagine them as super-smart databases filled with internet knowledge, ready to answer any question we throw at them. But the reality is that they …
Revolutionizing Autonomy: CNNs in Self-Driving Cars
Author(s): Cristian Rodríguez Originally published on Towards AI. Photo by Erik Mclean on Unsplash This article uses the convolutional neural network (CNN) approach to implement a self-driving car by predicting the steering wheel angle from input images of three front cameras in …
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 isn’t 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 …
How To Talk to Your Computer With Python and OpenAI’s Whisper on Your Personal Machine
Author(s): Jake Manger Originally published on Towards AI. Speech-to-text with a neural network running locallyImage by Mark Anderson If you’ve watched the Iron Man movies, you’re well aware of the how helpful Jarvis can be. If not, think of an English Butler …
Creating a Smart Home AI Assistant
Author(s): Michael K Originally published on Towards AI. Source: Image generated by the author (using Adobe Generative AI) The hardware AI assistants recently released have been making splashes in the news which gave me a lot of inspiration around the concept of …
Stacking Ensemble Method for Brain Tumor Classification: Performance Analysis
Author(s): Cristian Rodríguez Originally published on Towards AI. Photo by National Cancer Institute on Unsplash This article delves into medical image analysis, specifically focusing on the classification of brain tumors. It introduces a novel approach that combines the power of stacking ensemble …
Unpacking Kolmogorov-Arnold Networks
Author(s): Shenggang Li Originally published on Towards AI. Edge-Based Activation: Exploring the Mathematical Foundations and Practical Implications of KANsPhoto by JJ Ying on Unsplash Researchers at MIT recently introduced a new neural network architecture called Kolmogorov-Arnold Networks (KANs). Unlike traditional neural networks …
How LLMs Know When to Stop Generating?
Author(s): Louis-François Bouchard Originally published on Towards AI. Understand how LLMs like GPT-4 decide when they have answered your question Originally published on louisbouchard.ai, read it 2 days before on my blog! A few days ago, I had a random thought: How …
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