🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
-
Updated
Oct 28, 2024 - MDX
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Natural Language Processing
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.
Jupyter notebooks for Chainer hands-on
Codes, scripts, and notebooks on various aspects of transformer models.
This repository contains codes and notebooks used in various competitions
A detailed notebook tutorial about LangChain Chains, Memory, Agents, Models, and Prompts.
A repository contains necessary foundational exercises in NLP for beginners.
natural language processing notebooks
Notebooks for prompt engineering understanding
Notebooks con character generation y sentiment analisis.
Training notebooks and API to Arabic Autocomplete project
Run Dolly, the world’s first truly open instruction-tuned LLM, with your own prompts on IPUs
A repository of notebooks containing recurrent neural nets engineered for NLP tasks
Notebook showing how to implement and train a transformer for language modeling
This repository contains a Jupyter notebook for performing sentiment analysis using the ALBERT model. The notebook includes steps for setting up the model, processing text data, and providing a graphical user interface (GUI) using tkinter for user interaction.
🗨️ This repository contains a collection of notebooks and resources for various NLP tasks using different architectures and frameworks.
This notebooks, we train a seq2seq decoder model with teacher forcing. Then use the trained layers from the decoder to generate a sentence.
Add a description, image, and links to the language-model topic page so that developers can more easily learn about it.
To associate your repository with the language-model topic, visit your repo's landing page and select "manage topics."