Projects with this topic
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∞ Generate endless answers from all-knowing ChatGPT (on any topic!)
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🤖 AI browser extensions & userscripts to augment your web experienceUpdated -
💬 Epic prompts to turbo-charge your LLM chatbots.Updated -
🐤 AI chat & search summaries in DuckDuckGo, powered by the latest LLMsUpdated -
🦁 AI chat & search summaries in Brave Search, powered by the latest LLMsUpdated -
🤖 A starting point for developing your own Chrome extension using chatgpt.js (including pop-up menu + settings management)Updated -
Your very own Assistant. Because you deserve it.
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Multimodal architecture that is capable to sensing emotion from chat occurrences, with added support for emojis, emoticons, and internet slangs.
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🙈 A starting point for developing your own Greasemonkey userscript using chatgpt.jsUpdated -
Official Python, TypeScript/Node, and MCP-server clients for the SentiSift comment-moderation and intelligence API. pip install sentisift · npm install @sentisift/client · uvx sentisift-mcp
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Multi-source RAG pipeline with hybrid vector + keyword retrieval, LLM-powered concept knowledge graph, adaptive search weighting, and evaluation framework.
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AI-powered conversational interface for Ethereum blockchain operations: intent-driven NLP pipeline, smart contract deployment, session-scoped wallet persistence, and market data aggregation.
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Django application to build and maintain chatbots that combine the best of LLMs and rule-based engines to truly assist your users instead of manipulating them.
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Code for topic modeling and document retrieval. Interfaces with Indexr's web backend. https://www.indexr.us/home
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Projet de détection de fake news utilisant une architecture Retrieval-Augmented Generation (RAG).
Le système compare un article avec une base de données vectorielle d’articles de référence afin de prédire un verdict (TRUE / FAKE / UNCERTAIN) et générer une justification avec un LLM local.
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Prétraitement et découpage du texte Génération d’embeddings (Ollama) Stockage dans ChromaDB Recherche des passages similaires Vote majoritaire pour le verdict Génération d’explication avec un LLMTechnologies : Python, Ollama, ChromaDB, scikit-learn, pytest.
Projet réalisé dans le cadre de la formation Développeur en Intelligence Artificielle (Simplon).
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Early-stage open-source web service for discovering song lyrics and automatic translation using ML.
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Sistema event-driven con Kafka que transforma documentos no estructurados en especificaciones de software completas. Extrae texto con OCR, procesa NER con transformers, clasifica oraciones y generar SRS en múltiples formatos.
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Wellespring Project JupyterLab setup for local NLP (natural language processing) tools and tasks. Supports OFFLINE processing for maximum data security, privacy, and copyright/intellectual property protection.
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