Feynman Innovations

ajibawa-2023

AI & ML interests

LLM, RL, DL, ML, AGI. Developing LLMs (preferably fully fine tuned ) for various use cases.

Recent Activity

reacted to DawnC's post with ❤️ 8 days ago
🌟 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. 👉 Try it now: https://huggingface.co/spaces/DawnC/PawMatchAI Your likes ❤️ on this space fuel this project's growth! #AI #MachineLearning #DeepLearning #Pytorch #ComputerVision #TechForLife
replied to DawnC's post 8 days ago
🌟 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. 👉 Try it now: https://huggingface.co/spaces/DawnC/PawMatchAI Your likes ❤️ on this space fuel this project's growth! #AI #MachineLearning #DeepLearning #Pytorch #ComputerVision #TechForLife
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ajibawa-2023's activity

reacted to DawnC's post with ❤️ 8 days ago
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2172
🌟 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.

👉 Try it now: DawnC/PawMatchAI

Your likes ❤️ on this space fuel this project's growth!

#AI #MachineLearning #DeepLearning #Pytorch #ComputerVision #TechForLife
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replied to DawnC's post 8 days ago
reacted to clem's post with ❤️ 8 days ago
reacted to AkimfromParis's post with 👀 8 days ago
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💵 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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reacted to cfahlgren1's post with 👍 8 days ago
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You'll notice the AI in the SQL Console is much better at working with chatml conversations:

Here's example of unnesting the cfahlgren1/react-code-instructions in less than 10 seconds by asking it. Check it out here: cfahlgren1/react-code-instructions

- "show me the average assistant response length"
- "extract user, system, and assistant messages into separate columns"

It's super easy to work with conversational datasets now with natural language 🗣️





reacted to Kseniase's post with 👍 19 days ago
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**15 Agentic Systems and Frameworks of 2024**

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:

1. GUI Agents: A Survey (2412.13501)

2. Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level (2411.03562)

3. The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery (2408.06292)

4. MALT: Improving Reasoning with Multi-Agent LLM Training (2412.01928)

5. Agent S: An Open Agentic Framework that Uses Computers Like a Human (2410.08164)

6. Automated Design of Agentic Systems (2408.08435)

7. AgentInstruct: Toward Generative Teaching with Agentic Flows (2407.03502)

8. AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant (2410.18603)

9. WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents (2410.07484)

10. Generative Agent Simulations of 1,000 People (2411.10109)

11. DynaSaur: Large Language Agents Beyond Predefined Actions (2411.01747)

12. PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking (2410.12375)

13. Generative World Explorer (2411.11844)

14. Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines (2412.14684)

15. AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions (2410.20424)

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reacted to sayakpaul's post with 🔥 19 days ago
replied to MoritzLaurer's post 25 days ago