π₯ AgenticAI: The Ultimate Multimodal AI with 16 MBTI Girlfriend Personas! π₯
Hello AI community! Today, our team is thrilled to introduce AgenticAI, an innovative open-source AI assistant that combines deep technical capabilities with uniquely personalized interaction. π
Complete MBTI Implementation: All 16 MBTI female personas modeled after iconic characters (Dana Scully, Lara Croft, etc.) Persona Depth: Customize age groups and thinking patterns for hyper-personalized AI interactions Personality Consistency: Each MBTI type demonstrates consistent problem-solving approaches, conversation patterns, and emotional expressions
π Cutting-Edge Multimodal Capabilities
Integrated File Analysis: Deep analysis and cross-referencing of images, videos, CSV, PDF, and TXT files Advanced Image Understanding: Interprets complex diagrams, mathematical equations, charts, and tables Video Processing: Extracts key frames from videos and understands contextual meaning Document RAG: Intelligent analysis and summarization of PDF/CSV/TXT files
π‘ Deep Research & Knowledge Enhancement
Real-time Web Search: SerpHouse API integration for latest information retrieval and citation Deep Reasoning Chains: Step-by-step inference process for solving complex problems Academic Analysis: In-depth approach to mathematical problems, scientific questions, and data analysis Structured Knowledge Generation: Systematic code, data analysis, and report creation
πΌοΈ Creative Generation Engine
FLUX Image Generation: Custom image creation reflecting the selected MBTI persona traits Data Visualization: Automatic generation of code for visualizing complex datasets Creative Writing: Story and scenario writing matching the selected persona's style
I would be incredibly grateful for an opportunity to contribute β in any capacity β and learn alongside researchers here. Is there any possibility I could collaborate or assist with any of your research works ?
Iβm happy to support ongoing projects, contribute to data analysis, code, documentation, or anything that adds value.
Yes, DeepSeek R1's release is impressive. But the real story is what happened in just 7 days after:
- Original release: 8 models, 540K downloads. Just the beginning...
- The community turned those open-weight models into +550 NEW models on Hugging Face. Total downloads? 2.5Mβnearly 5X the originals.
The reason? DeepSeek models are open-weight, letting anyone build on top of them. Interesting to note that the community focused on quantized versions for better efficiency & accessibility. They want models that use less memory, run faster, and are more energy-efficient.
When you empower builders, innovation explodes. For everyone. π
The most popular community model? @bartowski's DeepSeek-R1-Distill-Qwen-32B-GGUF version β 1M downloads alone.