The Controversy of AI Greeting Cards
Author(s): GaryGeo Originally published on Towards AI. Today I am taking a slight detour from my usual data analysis, to indulge one of my favorite hobbies — crafting personalized greeting cards, now with a significant boost from Artificial Intelligence. My fascination with …
Google’s CodeGemma: I am not Impressed
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. I experimented with CodeGemma. Here are my results What codeGemma is supposed to be, according to Google — CodeGEMMA represents a significant advancement in the realm of code generation and completion, stemming …
Discover The Top 10 Most Used OpenAI GPTs
Author(s): Ahmed Fessi Originally published on Towards AI. In November 2023, almost one year after ChatGPT 3 was released, OpenAI announced GPTs, allowing users to create and publish their own conversational chatbots, customized as per their instructions, and have them available in …
This AI newsletter is all you need #94
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie For the past few weeks, we have been following an increased pace of voice and music AI model releases. In particular, Suno AI’s v3 …
Mastering Large Language Model (LLM) Fine-Tuning: Top Learning Resources
Author(s): Youssef Hosni Originally published on Towards AI. Large language models (LLMs) have transformed the field of natural language processing with their advanced capabilities and highly sophisticated solutions. These models, trained on massive datasets of text, perform a wide range of tasks, …
Simple Streamlit Sliders: Intaractive Map Visuals with GPT-4 Prompting
Author(s): John Loewen, PhD Originally published on Towards AI. Prompt engineering for interactive Python Streamlit mapsDall-E image: A choropleth map on a screen with a pleasing view in the background Interactive choropleth maps are powerful tools for visualizing and understanding complex datasets …
Exploration of Joint PMFs: Their Applications in Data Science (Part 1)
Author(s): Ghadah AlHabib Originally published on Towards AI. (Image generated by ChatGPT) Introduction to Joint PMFs When dealing with discrete random variables, the joint probability mass function (PMF) is a fundamental concept in probability theory and statistics. Understanding it is crucial for …
Supervised and Unsupervised: What’s the difference?
Author(s): Eashan Mahajan Originally published on Towards AI. Photo by Arseny Togulev on Unsplash With machine learning’s surge of popularity in the past few years, more and more people spend hours each day trying to learn as much as they can. The …
JAMBA, the First Powerful Hybrid Model is Here
Author(s): Ignacio de Gregorio Originally published on Towards AI. Toward a Subquadratic Future For almost six years, nothing has beaten the Transformer, the heart of all Generative AI models. However, due to its excessive costs, many have tried to dethrone it, to …
Understanding LangChain Chains for Large Language Model Application Development
Author(s): Youssef Hosni Originally published on Towards AI. Hands-On LangChain for LLMs App Development: Chains One of the fundamental pillars of LangChain, as implied by its name, is the concept of “chains.” These chains typically integrate a large language model (LLM) with …
Inside Jamba: Mamba, Transformers, and MoEs Together to Power a New Form of LLMs
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using DALL-E 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. …
Tuning Word2Vec with Bayesian Optimization: Applied to Music Recommendations
Author(s): Jimmy Jarjoura Originally published on Towards AI. Photo by Glen Carrie on Unsplash Hyperparameter Tuning How we improved our recommendation system at Anghami Providing personalized and engaging recommendation experiences remains a critical challenge in the ever-evolving landscape of recommender systems. While …
Graphs in Motion: Spatio-Temporal Dynamics with Graph Neural Networks
Author(s): Najib Sharifi Originally published on Towards AI. Interconnected graphical data is all around us, ranging from molecular structures to social networks and design structures of cities. Graph Neural Networks (GNNs) are emerging as a powerful method of modeling and learning the …
A Recipe For a Robust Model Development Process
Author(s): Jonte Dancker Originally published on Towards AI. ML models fail silently. A model might fail but still produce some output. We might not even get a signal of why or where our model fails. And there are many reasons for a …
Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.
Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with …
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