Given an input image, it generates several queries along with explanations to justify them. This approach can generate synthetic data for fine-tuning ColPali models.
🌟 PawMatchAI: Making Breed Selection More Intuitive! 🐕 Excited to share the latest update to this AI-powered companion for finding your perfect furry friend! I've made significant architectural improvements to enhance breed recognition accuracy and feature detection.
✨ What's New? Enhanced breed recognition through advanced morphological feature analysis: - Implemented a sophisticated feature extraction system that analyzes specific characteristics like body proportions, head features, tail structure, fur texture, and color patterns - Added an intelligent attention mechanism that dynamically focuses on the most relevant features for each image - Improved multi-dog detection capabilities through enhanced spatial feature analysis - Achieved better precision in distinguishing subtle breed characteristics
🎯 Key Features: Smart breed recognition powered by advanced AI architecture Visual matching scores with intuitive color indicators Detailed breed comparisons with interactive tooltips Lifestyle-based recommendations tailored to your needs
💭 Project Vision Combining my passion for AI and pets, this project represents another step toward creating meaningful AI applications. Each update aims to make the breed selection process more accessible while improving the underlying technology.
💵 Polymarket is leveraging “Chatbot Arena LLM Leaderboard” on HuggingFace for online gambling on the “Top AI model on January 31?”. 🤗
As of January 3rd, 2025: -1./ Gemini (83%) -2./ ChatGPT (13%) -3./ Other (2%) -4./ Claude (2%) -5./ Grok (1%) -6./ Llama (<1%)
🇺🇸 The market opinion is following historical data. It's clearly bias towards US historical AI giants, yet Polymarket is forbidden in the USA and for US citizens.
🇨🇳 In the “Other”, you might have Chinese AI labs that are probably the future AI leaders (Qwen, DeepSeek, Yi).
⚖️ In the market resolution, if two models are tied in the evaluation, they will take the alphabetical order. (e.g. if both were tied, “Google” would resolve to “Yes”, and “xAI” would resolve to “No”). 🙃
That might be illegal usage of the Chatbot Arena policy? And maybe HuggingFace? @clem Or maybe authors and contributors should get a cut each month as “market markers”. @weichiang@angelopoulos
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This year, we started our “AI Agents and Agentic Workflows” series (https://www.turingpost.com/t/AI-Agents) to explore everything about AI agents step by step: all the vocabulary, how they work, and how to build them. The huge interest in this series and the large number of studies conducted on agents showed that it was one of the most popular and important themes of the year. In 2025, most likely, agents will reach new highs – we will be covering that for you. Now, let’s review the agentic systems that have emerged this year.
Here is a list of 15 agentic systems and frameworks of 2024: