Annotated Notebooks to dive into Self-Attention, In-Context Learning, RAG, Knowledge-Graphs, Fine-Tuning, Model Optimization, and many more.
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Updated
Sep 10, 2024 - Jupyter Notebook
Annotated Notebooks to dive into Self-Attention, In-Context Learning, RAG, Knowledge-Graphs, Fine-Tuning, Model Optimization, and many more.
Jupyter notebooks for deeplearning.ai "Open-Source-Models-with-Hugging-Face" course
A collection of Jupyter notebook experiments and applications centered around Generative AI with LLMs.
Jupyter Notebooks for "Build your own Chatbot" course on KI-Campus
NER Training on BERT model using Transformers on medical data, continual learning over 3 datasets; Notebooks and Scripts
Concepts and examples on using and training LLMs
🗨️ This repository contains a collection of notebooks and resources for various NLP tasks using different architectures and frameworks.
Pre-Training and Fine-Tuning transformer models using PyTorch and the Hugging Face Transformers library. Whether you're delving into pre-training with custom datasets or fine-tuning for specific classification tasks, these notebooks offer explanations and code for implementation.
This notebook showcases a prototype for a retrieval-augmented generation approach in question-answering. The implementation includes demonstrations using an offline language model (LLM) from Hugging Face and the OpenAI GPT-3.5 API.
Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that focuses on the interaction between computers and human language. It involves the development and implementation of algorithms and models capable of understanding, interpreting, and generating human-like language
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
A serie of notebooks exploring GPT-Neo
Exploratory notebooks and utils related to the "Feedback Prize - Evaluating Student Writing" Kaggle competition.
My shot at improving upon the ML literature results for the FNC dataset (2017). I take a two stage approach to the classification problem that beats the 2nd and 3rd place all time leaders. Paper describing my approach in detail and notebooks provided in this repo.
Transformer LIbrary Docker Stacks
Training Notebooks
利用预训练BERT进行真假判定,情感分析等
This notebook leverages Transfer Learning Algorithms and standard NLP procedures to summarize a given paragraph meaningfully.
compilation of notebooks
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