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Manuth VANN's Projects

awesome-llm-for-recsys icon awesome-llm-for-recsys

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

chatwithpdf_openai icon chatwithpdf_openai

This project allows you to upload a PDF document and ask questions about its content. It uses langchain, openai api model and Facebook Ai Similarity Search(FAISS) library to process the text in the PDF and provide answers to questions pertaining the document.

climate_news_scraper_etl icon climate_news_scraper_etl

Using this project one is capable of scraping the BBC News website for the latest updates on climate. The scraper functionality is packed in an ETL pipeline build on Prefect and Dask in order to scrape, transform (sentiment classification) and load the scraped news articles in a SQL Lite database.

daily-llama icon daily-llama

meta's LLMA-2 based chat framework, optimized for latest news contents.

finsight icon finsight

FinSight - Financial Insights at Your Fingertip: FinSight is a cutting-edge AI assistant tailored for portfolio managers, investors, and finance enthusiasts. It streamlines the process of gaining crucial insights and summaries about a company in a user-friendly manner.

lane_segmentation icon lane_segmentation

A model on lane detection has been developed with the data set we have created.

llama2_aided_tesseract icon llama2_aided_tesseract

Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections, complete with options for text validation and hallucination filtering.

llm-next-item-rec icon llm-next-item-rec

Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"

llm_selector icon llm_selector

This code implements a Local LLM Selector from the list of Local Installed Ollama LLMs for your specific user Query

llmparser icon llmparser

Classify and extract structured data with LLMs

ocr icon ocr

OCR with Scene-Text Detection project

santa-all icon santa-all

Building an E-commerce Gift Recommender System based on User-Generated Wishlists

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