-
Amazon Web Services
- Korea
-
00:29
(UTC +09:00) - https://mateon.tistory.com/
Highlights
- Pro
Lists (7)
Sort Name ascending (A-Z)
Stars
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Versatile agents for long running, research intensive tasks.
A kubectl krew plugin to provide a list of exposed ports on kubernetes Pod / Service resources
A helper library for fine-tuning Amazon Bedrock models. This toolkit assists in generating Q&A datasets from documents and streamlines the LLM fine-tuning process.
Plugin that adds dense neural retrieval into the OpenSearch ecosytem
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
<트랜스포머를 활용한 자연어 처리> 예제 코드를 위한 저장소입니다.
pytorch를 사용하여 텍스트 전처리부터, BERT, GPT와 같은 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
pytorch를 사용하여 텍스트 전처리부터, BERT, GPT와 같은 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
<트랜스포머를 활용한 자연어 처리> 예제 코드를 위한 저장소입니다.
Sample of a networking costs calculator, helping to estimate the networking costs such as Data Transfer, Transit Gateway Attachments, NAT Gateways etc.
Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
🆕 Find the k-nearest neighbors (k-NN) for your vector data
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch
Pause your GitHub Actions workflow and request manual approval from set approvers before continuing
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A registry of publicly available datasets on AWS