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 ā¤ļø 9 minutes ago
šŸŒŸ PawMatchAI: Making Breed Selection More Intuitive! šŸ• 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. āœØ 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 šŸŽÆ 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 šŸ’­ 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. šŸ‘‰ Try it now: https://huggingface.co/spaces/DawnC/PawMatchAI Your likes ā¤ļø on this space fuel this project's growth! #AI #MachineLearning #DeepLearning #Pytorch #ComputerVision #TechForLife
replied to DawnC's post 9 minutes ago
šŸŒŸ PawMatchAI: Making Breed Selection More Intuitive! šŸ• 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. āœØ 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 šŸŽÆ 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 šŸ’­ 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. šŸ‘‰ Try it now: https://huggingface.co/spaces/DawnC/PawMatchAI Your likes ā¤ļø on this space fuel this project's growth! #AI #MachineLearning #DeepLearning #Pytorch #ComputerVision #TechForLife
View all activity

Organizations

Stanford AI's profile picture AI FILMS's profile picture Giskard's profile picture AI vulnerability Database (AVID)'s profile picture FreedomAI's profile picture Ontocord's M*DEL's profile picture The Waifu Research Department's profile picture Media Party 2023's profile picture Keynote Technology's profile picture ZeroGPU Explorers's profile picture Aurora-M's profile picture One-Man-Army's profile picture MLX Community's profile picture Social Post Explorers's profile picture Cognitive Computations's profile picture M4-ai's profile picture Data Is Better Together Contributor's profile picture

Posts 2

view post
Post
3020
New Dataset: Software-Architecture
Link: ajibawa-2023/Software-Architecture

I am releasing a Large Dataset covering topics related to Software-Architecture. This dataset consists of around 450,000 lines of data in jsonl.

I have included following topics:

Architectural Frameworks

Architectural Patterns for Reliability

Architectural Patterns for Scalability

Architectural Patterns

Architectural Quality Attributes

Architectural Testing

Architectural Views

Architectural Decision-Making

Advanced Research

Cloud-Based Architectures

Component-Based Architecture

Data Architecture

Emerging Trends

Event-Driven Architecture

Evolvability and Maintainability

Microservices and Monolithic

Microservices Architecture

Security Architecture

Service-Oriented Architecture

Software Design Principles

and Many More!

This dataset is useful in LLM development. Also those who are working on developing Software development related LLMs then this dataset can be useful.

This dataset is very useful to Researchers as well.
view post
Post
1939
Thank you very much hf team for accepting me! I was waiting for very long time. Thank you