class Bio:
def __init__(self):
self.data = {
"- 🌱 I’m currently learning": "Generative AI, Multimodal Models, and Neuro-inspired AI",
"- ❔ I’m looking for help with": "Exploring innovative uses of LLMs in neuroscience and AI",
"- 📚 I'm interested in": "AI, Neuroscience, Cognitive Science, "
"Natural Language Processing, Generative Models, "
"Philosophy, Psychology!"
}
def get_bio():
return Bio().data
if __name__ == "__main__":
bio_data = get_bio()
print("About Me 🗺️")
print("\n".join([f"{k}: {v}" for k, v in bio_data.items()]))
-
Mila Quebec AI Institute
- Montreal, QC, Canada
- precioux.github.io
Pinned Loading
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Eunoia-Plus
Eunoia-Plus PublicOpen-Domain Chitchat System with Multi-Module Architecture for Enhanced Conversational AI
Jupyter Notebook
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The-Inattentive-Interview-An-LLM-Assisted-Clinical-Transcript-Generation-and-Analysis
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The Inattentive Interview
Jupyter Notebook 1
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LangChain-for-LLM-Application-Development
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Advanced-Large-Language-Model-Agents
Advanced-Large-Language-Model-Agents PublicUC Berkeley, MOOC, Spring 2025
Python
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CrisisWatch-NLP
CrisisWatch-NLP PublicCrisisWatch-NLP is a social media monitoring tool that uses NLP, sentiment analysis, and geospatial mapping to detect and visualize crisis-related discussions on Reddit, including mental health dis…
Jupyter Notebook
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