Unraveling Sports Simulations, in 14Q’s with ChatGPT
Author(s): Karan Bhatti Originally published on Towards AI. Q1 to Chat GPT : The complex concept of simulations in sports has eluded me for years, despite spending a couple of years with a sports betting firm. I had not acquired an understanding …
FineTuning Local Large Language Models on Your Data Using LangChain
Author(s): Serop Baghdadlian Originally published on Towards AI. Stop sending your private data through OpenAI API! Use local and secure LLMs like GPT4all-J from Langchain instead. Photo by Annie Spratt on Unsplash The recent introduction of Chatgpt and other large language models …
Inside Guidance: Microsoft’s New Open Source Framework for Improving the Control in LLM Apps
Author(s): Jesus Rodriguez Originally published on Towards AI. Guidance provides a very simple yet comprehensive syntax for architecting complex LLM workflows. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning …
Building a Classification Model To Score 80+% Accuracy on the Spaceship Titanic Kaggle Dataset
Author(s): Devang Chavda Originally published on Towards AI. This article will walk you through detailed forward feature selection steps and model building from scratch, improving it further with fine-tuning. Photo by NASA on Unsplash Data pre-processing of spaceship-titanic kaggle dataset for achieving …
Defining Your Product’s North Star Metrics and Leading Indicators
Author(s): Lisa Cohen Originally published on Towards AI. Top highlight One key role that data science teams play is defining metrics and setting targets for the product and company. Having a clear set of success metrics is a very effective way to …
Test-Driven Application Development with Large Language Models
Author(s): Prajwal Paudyal Originally published on Towards AI. Towards engineering an LLM application. (Image created by author on Stable Diffusion) The following are my insights about Test Driven Application Development for Large Language Model powered applications. I have been working on an …
Monet Paintings Reimagined: Training a DCGAN on Impressionist Art
Author(s): Clément Delteil Originally published on Towards AI. Exploring the Boundaries of Creativity and Technology San Giorgio Maggiore at Dusk — Claude Monet — Public Domain Midjourney, DALL-E [1], and Stable Diffusion [2] are now taking the spotlight for image generation based …
The Day AI Dreams Humans Up: What Happens When Our Stories Are Told by Immortal Minds
Author(s): Cezary Gesikowski Originally published on Towards AI. How to resist the rise of the AI influence on humanity and preserve the individual personality “And the ridiculous impotence of words in the face of life!”― Witold Gombrowicz, Diary, 1955 image: An encrypted …
Ensemble Learning: Maximizing Predictive Power through Collective Intelligence
Author(s): David Andres Originally published on Towards AI. Photo by Cristina Marin on Unsplash Ensemble Learning is a powerful method used in Machine Learning to improve model performance by combining multiple individual models. These individual models, also known as “base models” or …
Simplifying MongoDB for Data Scientists: Essential Commands You Should Know
Author(s): Gaurav Nair Originally published on Towards AI. A Guide to NoSQL Fundamentals and MongoDB Commands for Beginners Image source: https://www.mongodb.com/brand-resources Table of Contents Introduction What is NoSQL? Limitations of RDBMS and the need for NoSQL SQL vs NoSQL MongoDB How do …
Tokens and Models: Understanding LangChain 🦜️🔗 Part:3
Author(s): Chinmay Bhalerao Originally published on Towards AI. Tokens and Models: Understanding LangChain U+1F99C️U+1F517 Part:3 Understanding tokens and how to select OpenAI models for your use case, how API key pricing works Image by Author WE CAN CONNECT ON :U+007C LINKEDIN U+007C …
Here is the last Book Whisperer: privateGPT
Author(s): Gencay I. Originally published on Towards AI. Exploring the Future of Personalized AI: Unveiling privateGPT Image by Author For a while, I have been trying to find a way to communicate my book other than reading it. Recently I read an …
Image Manipulation with Your Mouse! Drag Your Gan Explained
Author(s): Louis Bouchard Originally published on Towards AI. Drag anything from point A to point B Originally published on louisbouchard.ai, read it 2 days before on my blog! https://www.youtube.com/embed/r1mh-IqBEjg If you thought generating new images was cool, or editing them with some …
Reinforcement Learning in Autonomous Parking: An Exploration
Author(s): Pratush Pandita Originally published on Towards AI. Background The two most common machine learning models used are supervised and unsupervised learning. Supervised learning models, as their name implies, rely on labeled data. These classical models establish associations between input features and …
The AI Brillo Box: ‘End of Art’ Redefined in the Machine Learning Era
Author(s): Cezary Gesikowski Originally published on Towards AI. Probing Arthur Danto’s Aesthetics to Understand Art in the Age of Generative AI “Whatever art is, it is no longer something primarily to be looked at. Stared at, perhaps, but not primarily looked at…” …
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