The whole world is crazy about OpenAI's Chat GPT, so what is Chat GPT and what other alternatives are available in the market right now?
A pre-trained language model is a type of machine learning model that has been trained on a large and diverse set of text data prior to being used for specific tasks such as summarization, content creation, question answering, text classification, report generation and several more. Here is the top 7 alternatives to Chat GPT.
BERT
BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained language model developed by Google. It uses a transformer architecture and is trained on large amounts of text data using a masked language modelling objective.
LaMDA
LaMDA (Language Model for Dialogue Applications) is another language model developed byt Google. The key difference between BERT and LaMDA is that BERT is a general purpose pre-trained language model that is trained to predict masked words in a sentance and on the other hand LaMDA is a conversational language model that generate human-like text in response to a prompt.
RoBERTa
RoBERTa (Robustly Optimized BERT Approach) is developed by Facebook AI. It is based on the BERT architecture but with several modifications designed to improve performance, such as longer training time, larger model size, and training on a larger and more diverse dataset.
Turing NLG
Turing NLG (Natural Language Generation) is a language model developed by Microsoft that generates human-like text based on the input provided. It can generate text in a variety of styles, including conversational and descriptive.
ALBERT
ALBERT (A Lite BERT) is a pre-trained language model developed by Alibaba. It is based on BERT architecture but designed to be more computationally efficient.
SageMaker GPT
SageMaker GPT is a language model based on GPT architecture and developed by Amazon. It is part of the Amazon SageMaker platform, which provides a cloud-based environment for building, training, and deploying machine learning models.
XLNet
XLNet is developed by ByteDance AI based on Transformer architecture. It is trained on a diverse set of data using a permutation-based training objective, which is different from the traditional left-to-right or right-to-left training used by models like BERT and GPT.
All these language models that are popular right now are based on either Transformer, BERT or GPT architecture. Transformer is a generic architecture for NLP tasks, GPT is specifically designed for language generation, and BERT is designed for a wide range of NLP tasks by considering the context in both directions.
The future of pre-trained language models is promising and holds a lot of potential. The recent advancements in this field have led to a significant increase in the quality and versatility of pre-trained language models, and this trend is expected to continue in the coming years.
