Open Source Natural Language Processing (NLP) Models
Overview
Natural Language Processing (NLP) models are used to understand, interpret, and produce human language. The following open-source models and tools are crucial in various NLP tasks, such as text generation, translation, and more.
Alpaca-LoRA
Alpaca-LoRA excels at fine-tuning language models like LLaMa using the LoRA (Low-rank adaptation) technique, boosting efficiency.
Baize
Baize is a unique open source chat model focusing on efficient tuning on self-chat data.
Bart
BART (Bidirectional Autoregressive Transformers) is a neural network architecture for natural language processing tasks, such as text summarization and question answering. It is trained on a massive dataset of text and code, and can be fine-tuned for specific tasks.
ConvBERT
ConvBERT is an open-source Transformer-based language model. It is developed by Facebook AI and is available for anyone to use and experiment with.
DialoGPT
DialoGPT is an open-source large language model from OpenAI. It is also still under development, but it is available for anyone to use and experiment with.
ELECTRA
ELECTRA is an open-source language model that is trained to distinguish between real and generated text. It is developed by Google AI and is available for anyone to use and experiment with.
Flan-T5-XXL
Flan-T5-XXL, an open source chatbot, is based on the Flan-T5-XXL language model. Like GPT-J, it is trained for various applications including text generation, language translation, and creative writing.
More information about Flan-T5-XXL
GopherQA
GopherQA is an open-source large language model that is trained on a massive dataset of question and answer pairs. It is developed by Google AI and is available for anyone to use and experiment with.
GPT-J
GPT-J (Generative Pre-trained Transformer Jax) is developed by EleutherAI. Trained on extensive text and code data, it is suitable for tasks like generating text, translating languages, and creating diverse creative content.
GPT-Neo
GPT-Neo is an open source alternative to GPT-3, sharing a similar dataset. Though not as large or powerful, it remains a significant contribution to the field.
Koala
Koala, another open-source chatbot, shares similar training and functionalities to Flan-T5-XXL, and specializes in tasks like text generation and language translation.
LaMDA
LaMDA (Language Model for Dialogue Applications) is a factual language model from Google AI, trained on a massive dataset of text and code. It can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
LLAMA
LLAMA (Large Language Model Meta AI) is an open source 65-billion parameter language model that is trained on a massive dataset of text and code. It can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
LLAMA 2 is the successor to LLAMA and has several improvements over the original model. It is trained on a larger dataset of text and code, has a larger number of parameters, and is fine-tuned using a new method called Reinforcement Learning from Human Feedback (RLHF). LLAMA 2 has been shown to outperform LLAMA on a variety of natural language processing tasks.
Meena
Meena is an open-source research project from Google AI. It is still under development, but it is available for anyone to use and experiment with.
OPT
OPT (Open-source Platform for Training Large Language Models) aims to build a more efficient and scalable system for training language models.
RoBERTa
RoBERTa (Robustly Optimized BERT Pretraining Approach) is a BERT-based language model that is trained with a more robust optimization procedure. It can achieve better performance than BERT on a variety of natural language processing tasks.
T5
T5 (Text-To-Text Transfer Transformer) is a neural network architecture for natural language processing tasks, such as text summarization and question answering. It is trained on a massive dataset of text and code, and can be fine-tuned for specific tasks.
Vicuna-13B
Vicuna-13B is an open-source chatbot with 13 billion parameters. It is fine-tuned using LLaMa on user conversations from ShareGPT.com, a community for sharing ChatGPT dialogues.
XLNet
XLNet (eXtreme Multi-task Learning for Natural Language Understanding) is a Transformer-based language model that is trained on a massive dataset of text and code. It can achieve better performance than BERT on a variety of natural language processing tasks.
Frameworks
ColossalChat
ColossalChat is an open-source project aiming to emulate ChatGPT-like models. It's based on the LLaMa model and PyTorch AI framework.
Libraries and Toolkits
These libraries and toolkits provide a variety of NLP functionalities, such as tokenization, parsing, and text processing.
OpenNLP
Apache OpenNLP is a Java-based toolkit for processing natural language text, supporting common NLP tasks like tokenization, parsing, and more.
Gensim, spaCy, NLTK, TextBlob
These libraries, implemented in Python, offer various NLP functionalities, including topic modeling (Gensim), text processing (spaCy), research-oriented features (NLTK), and simple API for text processing (TextBlob).
AllenNLP
Built on PyTorch, AllenNLP is an all-encompassing platform for NLP research, widely used by researchers and developers globally.
Transformers by Hugging Face
Transformers are neural networks used for NLP tasks, and Hugging Face offers tools, pre-trained models, and resources for building and using these models.
Standford CoreNLP
Stanford CoreNLP is a set of Java libraries for NLP maintained by Stanford University. It includes various functionalities like tokenization and named entity recognition.