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.
Slides, Notebook and Data for Presentation: DataHour: Harnessing ML and NLP for Elevated Customer Experiences
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
Repository for the paper "Literary Metaphor Detection with LLM Fine-Tuning and Few-Shot Learning".
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
Independent SetFit reproduction and paper-code audit: ten-seed CR results, deterministic few-shot pipeline, trained MPNet release, terminal model lab, tests, and self-contained research site.
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.
Crawler for mapping networks of accounts posting violent content on Instagram Reels
Solving the IberAuTexTIfication task from IberLEF 2024
生产级多租户 AI 客服 Agent 平台 | Production-grade multi-tenant AI customer-service agent platform — LangGraph decision graph, confirmation-gated writes, hybrid intent (rules + SetFit + LLM), RAG with Milvus, proactive service (NBA), Vue 3 console. Runs end-to-end with zero API keys.
Master Thesis: Enhancing Sentiment Analysis: Model Comparison, Domain Adaptation, and Lexicon Evolution in German Data
This project implements and extends SetFit for few-shot text classification, along with advanced improvements such as hard negative mining and open-set recognition.
End-to-end NLP analysis of 62k+ German restaurant profiles using SetFit, multilingual Sentence Transformers, web scraping and market analytics.
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