Natural language processing of the Wikipedia text (as far English only) with goals to detect contradictory info, and to create a chat bot providing more accurate answers than ChatGPT.
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Updated
Jun 5, 2024 - JavaScript
Natural language processing of the Wikipedia text (as far English only) with goals to detect contradictory info, and to create a chat bot providing more accurate answers than ChatGPT.
Sequence-to-Sequence Spanish Pre-trained Language Models
benchmark for Speech-to-Intent engines
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Conversational AI Platform to build effective Proactive Digital Assistants using Visual LLM Chaining
Ragbot.AI is an augmented brain assistant developed by Rajiv Pant
Learn Generative AI with PyTorch (Manning Publications, 2024)
Neuro-symbolic interpretation learning (mostly just language-learning, for now)
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
An overview of the possibilities offered by artificial intelligence (AI) to serve as a technical basis for a digital product offering: from understanding, personalization, design of machine learning models and its deployment through an API built with FastAPI into the Cloud
This project uses BERT to build a QA system fine-tuned on the SQuAD dataset, improving the accuracy and efficiency of question-answering tasks. We address challenges in contextual understanding and ambiguity handling to enhance user experience and system performance.
Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper
🤗 AutoTrain Advanced
Enguage (tm) - (c) Martin Wheatman
SLING - A natural language frame semantics parser
retro style tokenization for language models
Zero and Few shot named entity & relationships recognition
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Automatic Gap-Fill Question Generation
Core framework for traceability link recovery between architecture documentation and models while identifying inconsistencies.
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