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 …
All About Efficiency Metrics in ML
Author(s): Nandini Tengli Originally published on Towards AI. Recently, I have been working on optimizing ML models to improve their runtime efficiency on hardware. This article is a comprehensive list of popular efficiency metrics used while evaluating the efficiency of Machine Learning …
Build Rag With Llamaindex To Make LLM Answer About Yourself, Like in an Interview or About General Information
Author(s): Lakshmi Narayana Santha Originally published on Towards AI. Advanced RAG pipeline with Llamaindex for chatting with yourself From the day ChatGPT was introduced, the whole NLP/AI ecosystem was changed and came up with numerous new techniques to integrate the LLMs into …
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 …
Large Language Model (LLM)🤖: In and Out
Author(s): JAIGANESAN Originally published on Towards AI. Large Language Model (LLM)🤖: In and Out Delving into the Architecture of LLM: Unraveling the Mechanics Behind Large Language Models like GPT, LLAMA, etc. Photo by Tara Winstead: pexels.com In this article, we’re going to …
Prolog — Programming in Logic
Author(s): Ashani Sansala Kodithuwakku Originally published on Towards AI. Image by starline on Freepik “Logic will get you from A to B. Imagination will take you everywhere.” — Albert Einstein — Introduction Prolog is the first declarative programming language which was invented …
The Magic of Variational Autoencoders (VAE), Where Creativity Begins! 🎨
Author(s): JAIGANESAN Originally published on Towards AI. The Magic of Variational Autoencoders (VAE), Where Creativity Begins! 🎨 Photo by Google DeepMind: pexels.com I’m assuming you’re already familiar with the basics of autoencoder, convolution, transpose convolution, and latent dimension and how they work. …
Building a Multi-Agent System to Accomplish Complex Tasks
Author(s): Najib Sharifi Originally published on Towards AI. Building a Multi-Agent System to Accomplish Complex Tasks When ChatGPT first arrived, it was game-changing. Now, it is used by people in all sectors and lines of work. ChatGPT demonstrated the strength of these …
How to Evaluate Your AI Agent
Author(s): Peter Richens Originally published on Towards AI. Photo by Dominik Scythe on Unsplash Agents that equip LLMs with the ability to interact with the world autonomously are perhaps the hottest idea of the current AI summer. Over the last year, I’ve …
Introducing “Building LLMs for Production”
Author(s): Towards AI Editorial Team Originally published on Towards AI. We are thrilled to introduce Towards AI’s new book “Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG.” This book, now available on Amazon, is the …
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 …
How I Use nnUNet for Medical Image Segmentation: A Comprehensive Guide
Author(s): Nour Islam Mokhtari Originally published on Towards AI. A complete walkthrough on how to use nnUNet to build powerful medical imaging segmentation models Welcome to our deep dive into nnUNetv2, the renowned neural network framework specifically designed for medical image segmentation. …
Language Model Alignment: Use-cases and Approaches
Author(s): Fabio Yáñez Romero Originally published on Towards AI. Before putting a language model into production, some techniques must be used to align the model to respond appropriately to the end user; this post will explain the main uses and methods employed …
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