Abidoye Aanuoluwapo

Aanuoluwapo65

https://anuoluwapo65.github.io/

AI & ML interests

Computer vision and multimodal learning

Recent Activity

upvoted a paper 2 days ago

U-Mamba2-SSL for Semi-Supervised Tooth and Pulp Segmentation in CBCT

reacted to Sri-Vigneshwar-DJ's post with 🔥 2 days ago

Combining smolagents with Anthropic’s best practices simplifies building powerful AI agents: 1. Code-Based Agents: Write actions as Python code, reducing steps by 30%. 2. Prompt Chaining: Break tasks into sequential subtasks with validation gates. 3. Routing: Classify inputs and direct them to specialized handlers. 4. Fallback: Handle tasks even if classification fails. https://huggingface.co/blog/Sri-Vigneshwar-DJ/building-effective-agents-with-anthropics-best-pra

reacted to zamal's post with 🚀 2 days ago

https://huggingface.co/spaces/zamal/Multimodal-Chat-PDF 🚀 Introducing Chat PDF Multimodal 💬 Interact with your PDF documents like never before! 🤯 Extract text & images, then ask context-aware questions based on both. Powered by RAG techniques & multimodal LLMs. Perfect for studying, research & more! 📝👀 Try it out now!!!! ✍️ #LlavaNext #MultimodalAI #Transformers

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Organizations

upvoted a paper 2 days ago

U-Mamba2-SSL for Semi-Supervised Tooth and Pulp Segmentation in CBCT

Paper • 2509.20154 • Published Sep 24, 2025 • 1

reacted to Sri-Vigneshwar-DJ's post with 🔥 2 days ago

Post

2378

Combining smolagents with Anthropic’s best practices simplifies building powerful AI agents:

1. Code-Based Agents: Write actions as Python code, reducing steps by 30%.
2. Prompt Chaining: Break tasks into sequential subtasks with validation gates.
3. Routing: Classify inputs and direct them to specialized handlers.
4. Fallback: Handle tasks even if classification fails.

https://huggingface.co/blog/Sri-Vigneshwar-DJ/building-effective-agents-with-anthropics-best-pra

reacted to zamal's post with 🚀 2 days ago

Post

1525

zamal/Multimodal-Chat-PDF

🚀 Introducing Chat PDF Multimodal 💬

Interact with your PDF documents like never before! 🤯
Extract text & images, then ask context-aware questions based on both. Powered by RAG techniques & multimodal LLMs. Perfect for studying, research & more! 📝👀
Try it out now!!!! ✍️

#LlavaNext #MultimodalAI #Transformers

reacted to louisbrulenaudet's post with 🚀 2 days ago

Post

1254

🌐 Clinical Trials Dataset now available on Hugging Face! 🧬

I’ve just released a comprehensive, ML-ready dataset featuring 500,000+ clinical trial records sourced directly from ClinicalTrials.gov for biomedical NLP, healthcare analytics, and clinical research applications 🤗

I wanted to produce the most complete and up-to-date dump with all raw data partially flattened to simplify extraction, self-querying and processing.

Do you have any ideas about what we can do with it? Using descriptions to enhance specialized embedding models?

louisbrulenaudet/clinical-trials