An AI course recommendation system project implemented in 2024 TSMC IT Hackathon (Won 1st place)
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Updated
Oct 8, 2024 - JavaScript
An AI course recommendation system project implemented in 2024 TSMC IT Hackathon (Won 1st place)
This browser extension generates text embeddings using the Universal Sentence Encoder model from TensorFlow.js. It allows users to input text and receive corresponding embeddings, which can be useful for various NLP tasks.
Detect AI generated coding answers
Django-based Web Application featuring a Virtual Menu to help travelers pre-order food from highway-side amenities!
NikolaTesla.ai is an advanced chatbot application that provides in-depth knowledge and information about the life and work of Nikola Tesla. Users can engage in a chat conversation with the chatbot and ask any questions about Nikola Tesla, receiving informative and well-structured responses.
chrome extension to help curate your x feed with embeddings
A newsreader app that uses LLM embeddings to semantically prioritise arXiv and Github updates
Node Proxima converts your repo into embeddings using OpenAI.
An LLM powered chatbot that can answer questions based on your specific data
솔루션 API 설명과 예제 검색 챗봇 Core. 웹 페이지 크롤링으로 데이터 추출, OpenAI Embedding 기능 및 GPT 엔진을 연계.
A website to help you find the correct Dewey Decimal number for any subject using AI.
a chrome extension which uses transformers.js to generate and compare vector embeddings
A javascript visualization tool for comparing embedding models.
This project combines React, Express, OpenAI's CLIP model, and Spotify's ANNOY for searching an uploaded directory with text and image queries.
Ask questions from your data. (Retrieval Augmented Generation)
Conversational search tool for exploring documents using an advanced language model and semantic representation.
This repository contains the implementation of a media search application using Google Cloud Spanner and Vertex AI for generating and searching embeddings.
A web based Football Scouting Chatbot to improve players evaluation assessment process.
Currently just does embeddings!
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