madawei2699/myGPTReader
MyGPTReader
myGPTReader es una suite de aplicaciones de modelos de lenguaje grandes que incluye una interfaz de chat, una herramienta de análisis de documentos y un agregador de noticias. El sistema se centra en extraer información de archivos digitales y contenido web para permitir el análisis conversacional y la condensación automatizada de contenido.
El proyecto cuenta con un gestor de plantillas de prompts para estructurar flujos de conversación y aumentar la precisión de las respuestas. También incluye un cliente de chat de voz multilingüe que integra voz a texto y texto a voz para tutoría interactiva en tiempo real y práctica de idiomas.
La plataforma cubre capacidades más amplias en conversación aumentada por recuperación (RAG), entrega diaria automatizada de noticias y el resumen de sitios web y contenido de video.
Features
- Document Analysis - Provides a comprehensive system for analyzing and extracting information from documents using AI for question answering.
- LLM Chat Interfaces - Provides a web-based conversational platform for interacting with LLMs to chat and analyze documents.
- Automated Text Analysis - Automatically extracts keywords and summaries from digital files to perform conversational analysis on text.
- Retrieval-Augmented Generation - Grounds conversational responses by retrieving relevant information from external documents to provide factual context.
- Document Analysis Tools - Implements a system for parsing and extracting structured information from digital documents for AI analysis.
- Speech-to-Text and Text-to-Speech Integrations - Integrates speech-to-text and text-to-speech systems to enable real-time spoken AI interactions.
- LLM-Based Summarizations - Uses large language models to automatically summarize content extracted from URLs and PDFs.
- Document-to-Text Conversions - Provides pipelines to transform digital files and web pages into standardized text for conversational analysis.
- AI Prompt Engineering Templates - Uses structured instruction sets and context definitions to improve the accuracy and relevance of AI responses.
- Conversation Prompt Templating - Structures dialogue data into specific prompt formats to guide AI interaction flows.
- Prompt Templates - Implements management and formatting of prompt templates to ensure consistent and specific AI responses.
- Prompt Templates - Implements reusable prompt structures to increase the specificity and accuracy of generated AI responses.
- Language Tutoring Interfaces - Enables language learning and speaking practice through real-time AI voice-to-voice interactions.
- Daily News Summaries - Provides an automated service that delivers curated daily summaries of trending news and global events.
- News Aggregation Services - Collects and curates current events and news summaries for automated programmatic delivery.
- Transcription-Based Voice Chat - Ships a voice-to-voice communication interface that transcribes spoken input to enable real-time AI tutoring and language practice.
- Voice Tutoring Clients - Provides a voice-to-voice communication interface for language practice and tutoring using AI speech synthesis.
- AI-Powered Web Summarization - Leverages large language models to generate concise abstracts of web page and media content.
- Multimedia Summarizers - Extracts and condenses information from both websites and videos into conversational summaries.
- News Aggregators - Ships an automated tool that aggregates, summarizes, and delivers trending news topics using GPT.
- Bots - AI bot for the Slack platform.
- Chatbot Integrations - Slack bot for summarizing web content and documents.
