Large Language Models Examples
Now let’s look at some of the famous LLMs which has been developed and are up for inference.
- GPT – 3: The full form for GPT is a Generative pre-trained Transformer and this is the third version of such a model hence it is numbered as 3. This is developed by Open AI and you must have heard about Chat GPT which is launched by Open AI and is nothing but the GPT-3 model.
- BERT – The full form for this is Bidirectional Encoder Representations from Transformers. This large language model has been developed by Google and is generally used for a variety of tasks related to natural language. Also, it can be used to generate embeddings for a particular text may be to train some other model.
- RoBERTa – The full form for this is the Robustly Optimized BERT Pretraining Approach. In the series of attempts to improve the performance of the transformer architecture, RoBERTa is an enhanced version of the BERT model which is developed by Facebook AI Research.
- BLOOM – It is the first multilingual LLM generated by the association of the different organizations and researchers who combined their expertise to develop this model which is similar to the GPT-3 architecture.
To explore further these models you can click on the particular model to get to know how you can use them by using the open source platforms like Hugging Face of Open AI. These articles cover the implementation part for each of these models in Python.
What is a Large Language Model (LLM)
Large Language Models (LLMs) represent a breakthrough in artificial intelligence, employing neural network techniques with extensive parameters for advanced language processing.
This article explores the evolution, architecture, applications, and challenges of LLMs, focusing on their impact in the field of Natural Language Processing (NLP).