Hex clusters Discworld's stories.
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Updated
Apr 11, 2022 - Python
Hex clusters Discworld's stories.
Evaluating the Python library Annoy for similarity search
An advertisement system based on Java spring cloud microservices and C++ FAISS embedding search
Final project for the master's degree in Computer Science course "Cloud Computing" at the University of Rome "La Sapienza" (A.Y. 2022-2023)
ultra fast, thread and process safe, easily queryable Indexes for Python.
Private self-improvement coaching with open-source LLMs
I have implemented the common operations in NLP domain (实现NLP中各种常规操作,如分词、句法、命名实体识别、语义话题模型、爬虫、ElasticSearch和Faiss向量检索,huggingface-transformers完成各种任务,2023)
llama-2 based chat system that helps people get answer from their own pdf with the help of langchain. • Developed the system in local system using llama.cpp, langchain, FAISS vector db, Huggingface embeddings.
Application built with Langchain and Streamlit Using OpenAI and Google Palm in which user can query questions related upto 3 new articles including extractive question answering and summarization and also user can add a youtube video link and on basis of that user will get the desired video summarization.
This chatbot process real time data. It's dynamic and built with Django REST framework, supporting to collect data from from PDFs, documents, websites, and YouTube videos. Leveraging OpenAI's GPT-3.5, Pinecone, FAISS, and Celery for seamless integration and performance.
Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern
Simple and Efficient DiskANN implementation
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