4 Things to Know about Large Language Models
Author(s): Harshit Sharma Originally published on Towards AI. Amidst the LLM hype, there are interesting “things” to know about the LLMs, as mentioned in a recent paper by Samuel from Anthropic: The paper can be found at https://arxiv.org/pdf/2304.00612.pdf There are 8 things …
Unlock the Black Box: The Importance of Explainability in Machine Learning
Author(s): Janik and Patrick Tinz Originally published on Towards AI. An Overview of the Principles of Explainability Photo by Headway on Unsplash Machine learning (ML) has great potential for improving processes and products. A challenge is to explain the predictions of the …
Vector Quantization & VQ-GAN
Author(s): Jack Saunders Originally published on Towards AI. Towards Generating Ultra-High Resolution Talking-Face Videos with Lip-Synchronization Results of this paper on a section of silence. on a section Image Credits: Gupta et. al. Towards Generating Ultra-High Resolution Talking-Face Videos with Lip Synchronization …
Time Series Regression Using Transformer Models: A Plain English Introduction
Author(s): Ludovico Buizza Originally published on Towards AI. A plain English brief introduction to time series data regression/classification and transformers, as well as an implementation in PyTorch Photo by Jason Richard on Unsplash I am working on a project that uses transformer …
This is Why You Should Read This Before using ChatGPT in Data Science
Author(s): Gencay I. Originally published on Towards AI. Unlocking the Power of ChatGPT for Effective Data Science: From Web Scraping to Machine Learning and Data Visualization Image by Author It’s no secret that Data Science is broad, with multiple areas to explore …
Policy Gradient Algorithm’s Mathematics Explained with PyTorch Implementation
Author(s): Ebrahim Pichka Originally published on Towards AI. Image generated by midjourney Table of Content · Introduction· Policy Gradient Method ∘ Derivation ∘ Optimization ∘ The Algorithm· PyTorch Implementation ∘ Networks ∘ Training Loop (Main algorithm) ∘ Training Results· Conclusion· References Introduction …
A quick introduction to Machine Learning. Part-1
Author(s): Abhijith S Babu Originally published on Towards AI. Machine learning is a term that is very popular at least for tech enthusiasts. Machine learning is a significant component of Artificial Intelligence, the buzzword of the current era. This article intends to …
The Anatomy of a Full Large Language Model Langchain Application
Author(s): Mostafa Ibrahim Originally published on Towards AI. A deep dive — data extraction, initializing the model, splitting the data, embeddings, vector databases, modeling, and inference Photo by Simone Hutsch on Unsplash We are seeing a lot of use cases for langchain …
The Role of Product Data Science
Author(s): Lisa Cohen Originally published on Towards AI. Data science organizations help companies leverage data to build better products, improve customer experiences and grow the business. Yet, data scientists can get pulled into many directions. Amongst the endless opportunities that come by …
The Role of Product Data Science
Author(s): Lisa Cohen Originally published on Towards AI. Data science organizations help companies leverage data to build better products, improve customer experiences and grow the business. Yet, data scientists can get pulled into many directions. Amongst the endless opportunities that come by …
From Pixels to Artificial Perception
Author(s): Ali Moezzi Originally published on Towards AI. Understanding Computer Vision Fundamentals: An Introduction to Image Intrinsic, Representation, Features, Filters and Morphological Operations Computer vision is a fascinating field that aims to teach machines how to “see” the world as we do. …
Holy Cow! Introducing DragGAN
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Fast LLM Inference on CPU: Introducing Q8-Chat Make your Generative AI images come to life I you are hoping to synthesize visual content that is flexible and can be controlled precisely …
Fast LLM Inference on CPU: Introducing Q8-Chat
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Optimization techniques that decrease LLM inference latency on Intel CPU Large language models (LLMs) have rapidly gained prominence in the field of machine learning. These models, built on the powerful Transformer …
Computer Vision Tutorial Series M2C2
Author(s): Sujay Kapadnis Originally published on Towards AI. Module 2 — Convolutional Filters and Edge Detection Chapter 2— Filters Starting here? This article is part of a computer vision Tutorial Series. Here’s where you can start. Learning Objectives: What are Filters? What …
How to Evaluate the Quality of LLM-based Chatbots
Author(s): Matt Ambrogi Originally published on Towards AI. Strategies for programmatic and qualitative evaluation of chatbots built with GPT and LlamaIndex Why I care about evaluating chatbots As a part of Buildspace Nights and Weekends, I’m currently working on exploring ways to …
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