Efficient Training Engine (ETE) for Large Deep Learning Models
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents : There are many ways to efficiently train a large DL model 1. Parallel / Distributed Training Distributed Data Parallelism (DDP)a. DDP Algorithm Intuitionb. DDP Algorithmc. Code Implementation Model Parallelism (MP)a. …
DeepSeek R1: The Controversial ‘Innovation’ That Slashes Training Energy by 40% — But Is It Really Paving the Way for a Greener Future?
Author(s): Hasitha Pathum Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Deepseek Artificial intelligence (AI) research and development have witnessed exponential growth in recent years. As machine learning models become more …
Six Ways to Control Style and Content in Diffusion Models
Author(s): Aliaksei Mikhailiuk Originally published on Towards AI. How to Unleash Creativity with a Painter’s Precision and Your Favourite Diffusion Model This member-only story is on us. Upgrade to access all of Medium. Image generated with Imagen3. Stable Diffusion 1.5/2.0/2.1/XL 1.0, DALL-E, …
TAI #139: LLM Adoption; Anthropic Measures Use Cases. OpenAI API Traffic up 7x in 2024
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Google DeepMind expanded access to Gemini 2.0, OpenAI increased transparency in ChatGPT’s reasoning and thinking steps, and Mistral launched its rapid AI …
Country Recognition and Geolocated Sentiment Analysis Using the RoBERTa Model
Author(s): Pedro Markovicz Originally published on Towards AI. Country Recognition and Geolocated Sentiment Analysis Using the RoBERTa Model Have you ever wondered how public opinion about a country shapes its global image? From travel reviews to political debates on social media, people’s …
Feature Scaling Demystified—Essential Linear Scaling Techniques in Machine Learning!
Author(s): Harshit Dawar Originally published on Towards AI. Let’s understand the most useful linear feature scaling techniques of Machine Learning (ML) in detail! This member-only story is on us. Upgrade to access all of Medium. Source: Image by NIR HIMI on Unsplash …
Matching and Analyzing Products in Marketplaces Using LLMs
Author(s): Igor Novikov Originally published on Towards AI. Image by the author There is a classical problem in any marketplace of making sense of product listings, that is especially exacerbated by users creating a mess of a description of really simple products. …
#61: Are LLMs Entering the Age of Agents?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Reasoning agents seem to have taken over AI in the last couple of weeks. While it is early, this class of reasoning-powered agents is likely to progress LLM …
DeepSeek R1: The AI Playing Hide-and-Seek with Security… in a Glass House
Author(s): Mohit Sewak, Ph.D. Originally published on Towards AI. DeepSeek R1 — AI in a Security Glass House 1️⃣ Introduction: Welcome to the AI Security Circus 🎪 “If AI security were a game of hide-and-seek, DeepSeek R1 would be hiding behind a …
Which Python Dashboard Is Better? Dash, Panel And Streamlit Showdown
Author(s): John Loewen, PhD Originally published on Towards AI. Prompting GPT-4 for multi-visual interactive dashboard creation This member-only story is on us. Upgrade to access all of Medium. As a comp sci professor, over the past year, I have heavily integrated GPT-4o …
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