End-to-End Machine Learning Project Development: Spam Classifier
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Learn how to develop an ML project from development to production. Top highlight Photo by charlesdeluvio on Unsplash All the code used in this article is stored in the end-to-end spam classifier repository. …
Open-Sora vs. OpenAI’s Sora: A Comparison
Author(s): Meng Li Originally published on Towards AI. Distinguishing OpenAI’s Sora Recently, I began exploring the open-source video generation project, Open-Sora. The core idea behind Open-Sora is to democratize advanced video generation technology through open-source means, making it accessible to the general …
Learn AI Together — Towards AI Community Newsletter #17
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we dive into the industry-specific dimension of AI, starting with AI’s impact on education and further with our poll on AI’s use in SMEs. Read along …
VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Google’s desperate attempt to showcase “something” The research initiative led by Enric Corona, Andrei Zanfir, Eduard Gabriel Bazavan, Nikos Kolotouros, Thiemo Alldieck, and Cristian Sminchisescu at Google Research introduces an innovative …
Knowledge Graph QA using Gemini and NebulaGraph Lite
Author(s): Rajesh K Originally published on Towards AI. Graph databases and knowledge graphs are among the most widely adopted solutions for managing data represented as graphs, consisting of nodes (entities) and edges (relationships). A graph database stores information using a graph-based data …
How I Use GPT-4 Code Tutor To Accelerate My Streamlit Learning
Author(s): John Loewen, PhD Originally published on Towards AI. Code Tutor saves you time and effort when learning PythonPhoto from Dall-E: coding choropleth map data visualization Productivity is an important metric that differentiates between those who are great coders and those who …
The Reality of AI’s Limits: Computational Boundaries of Neural Networks
Author(s): Matej Hladky Originally published on Towards AI. As we navigate through an era where Artificial Intelligence (AI) breakthroughs happen almost daily, it might seem there’s no limit to what AI can do. Is there a ceiling to the current direction of …
Why RAG Applications Fail in Production
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. It worked as a prototype; then all went down! Retrieval-Augmented Generation (RAG) applications have emerged as powerful tools in the landscape of Large Language Models (LLMs), enhancing their capabilities by integrating …
How to Do Things with Thoughts:
Author(s): Dr. Ali Hechmi Raddaoui Originally published on Towards AI. Brain-Computer Interfaces: the Good and the UglyA seated person not using their hands. This person can act on the environment with their thoughts only. Open AI How do we make things happen …
Top Resources to Master RAG: From Basic Level to Advanced
Author(s): Youssef Hosni Originally published on Towards AI. Retrieval Augmented Generation (RAG) stands at the forefront of natural language processing, blending retrieval, and generative models to produce contextually relevant text. Understanding its significance and learning its intricacies are crucial for navigating the …
Researchers vs Practitioners
Author(s): Enos Jeba Originally published on Towards AI. Computer Vision began with research. We still have research going on but at the same time, some research is mature enough to be implemented into real-world applications. This also does not mean that research …
This AI newsletter is all you need #91
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we had a broad range of AI developments, from a new LLM software developer agent (Devin) to new open-source models (such as …
Learning Curves: A Picture Says More Than a Thousand Words
Author(s): Jonte Dancker Originally published on Towards AI. We want our ML models to learn and generalize well to unseen data. A model that does not learn or generalize to unseen data is useless. Hence, we need to identify if the model …
Genetic Algorithm: A Quick Glance
Author(s): Abhijith S Babu Originally published on Towards AI. Science and technology have made rapid progress in the recent past. Humans are always in pursuit of answers to everything, and this led to a lot of innovative breakthroughs, ranging from remedies for …
Revolutionizing Large-Scale Deep Learning with Microsoft DeepSpeed
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Microsoft democratizes and standardizes at-scale LLM training No, not the hydroget! I am not that cool…. DeepSpeed, developed by Microsoft, is a deep learning optimization library that has redefined the possibilities …