Low latency, High Accuracy, Custom Query routers for Humans and Agents. Built by Prithivi Da
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Updated
Mar 31, 2025 - Python
Low latency, High Accuracy, Custom Query routers for Humans and Agents. Built by Prithivi Da
Hierarchical RAG architecture scaling to 693K chunks on consumer hardware (4GB VRAM). Features 3-address routing, hybrid vector+graph fusion, and SetFit classification.
Playing with SetFit approach for few-shot transfer for text classification
Issue report classification demo with SetFit and Ollama for NASA's Flight System software repositories
Hacking SetFit so that it works with integrated gradients.
This repository contains code developed for the SVAR project (Trafikverket 2023-2025).
SciBERT-based scientific abstract classification using SetFit framework with context injection data augmentation
A multi-head classifier using SetFit for query preprocessing
Weighted Attention Message Pruner (WAMP) Proxy - prunes redundant messages from LLM history to save up to 50% in token costs while preserving core context
Event-driven Gmail phishing risk detection, explainable scoring, labels, and dashboard
This project implements and extends SetFit for few-shot text classification, along with advanced improvements such as hard negative mining and open-set recognition.
Crawler for mapping networks of accounts posting violent content on Instagram Reels
Email-powered job application tracker — syncs Gmail & iCloud, classifies emails with ML, tracks your job search pipeline
Master Thesis: Enhancing Sentiment Analysis: Model Comparison, Domain Adaptation, and Lexicon Evolution in German Data
A short path to a world model in your LLM — few-shot fine-tune it to predict in latent space (emit a set of next states, a JEPA world model). Also makes bespoke embedding models. lang·set·fit.
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