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Data Machina #252 – Data Machina

Diffusion, FM & Pre-Trained AI models for Time-Series. DeepNN-based models are starting to match or even outperform statistical time-series analysis & forecasting methods in some scenarios. Yet, DeepNN-based models for time-series suffer from 4 key issues: 1) complex architecture 2) enormous amount of time required for training 3) high inference costs, and 4) poor context sensitivity. Latest innovative approaches. To address those issues, a new breed of foundation or pre-trained AI models for time-series is emerging. Some of these new AI models use hybrid approaches borrowing from NLP, vision/ image, or physics modelling, like: transformers, diffusion models, KANs and state

I Built PromptArena.ai in 5 Days Using Replit Agent – A Free Platform for Testing and Sharing AI Prompts 🚀

A few weeks ago, I had a problem. I was constantly coming up with AI prompts, but they were scattered all over the place – random notes, docs, and files. Testing them across different AI models like OpenAI, Llama, Claude, or Gemini? That was a whole other headache. So, I decided to fix it. In just 5 days, using Replit Agent, I built PromptArena.ai – a platform where you can: ✅ Upload and store your prompts in one organized place. ✅ Test your prompts directly on multiple AI models like OpenAI, Llama, Claude, Gemini, and DeepSeek. ✅ Share your prompts

How to watch Formula 1 2025 online without cable — never miss a Grand Prix

Watch F1 2025 live streams from anywhere with NordVPN Next race: Australian GP (March 14-16) The first Grand Prix of the season hits the starting grid on Sunday, March 16. You’ll want to know how to watch F1 live streams when those engines start revving. This guide will tell you how to follow the 2025 Formula 1 season wherever you are in the world. Red Bull’s Max Verstappen is looking to become the first driver since Michael Schumacher to win five consecutive world titles, but last year’s runner up, McLaren’s Lando Norris, will be desperate to go one better. Many

Why use decoders only (gpt) when we have full transformers architecture?

I was going through the architecture of transformer and then I Bert and Gpt, Bert is only using encoder and Gpt is only using decoder part of transformer , ( ik encoder part is utilized for classification, ner, analysis and decoder part is for generating text) but why not utilize the whole transformer architecture. Guide me I am new in this. submitted by /u/VegetableAnnual1839 [comments] Source link

Gemma 3: What You Need To Know

Gemma 3 represents Google’s approach to accessible AI, bridging the gap between cutting-edge research and practical application. While the Gemini family represents Google’s flagship, closed, and most powerful models, Gemma offers a lightweight, “open” counterpart designed for wider use and customization. Specifically, Gemma 3’s model weights are openly released, allowing developers to download, deploy, and fine-tune the models on their own infrastructure – a significant contrast to closed models accessible only via APIs. This open-weight approach, though subject to Google’s usage license (requiring attribution and prohibiting distillation for training other models), provides far greater flexibility for teams to integrate and