Generative Pre-trained Transformers (GPTs) are autoregressive language models that deploy deep learning techniques to produce human-like text. OpenAI’s GPT-3 is the most advanced and powerful of all the language models ever created. It consists of 175 billion parameters that are used to regulate language processing operations.
To put up a fight to OpenAI’s largest model GPT-3, California-based SambaNova Systems recently announced the launch of its own GPT language model. The computing startup focused on building ML and big data analytics platforms and will make its GPT available as a Data-as-a-Service (DaaS) offering.
But why now? And how is it different from GPT-3?
GPT-challenges
GPT-3, being the largest of all GPT language models, can use its ability to generate human-like tests and transform the text-based AI space. However, despite its potential, it does come with some drawbacks. The complexity of the model does not just make GPT-3 expensive but also slow to tune and train processes. Developing a language as large as GPT-3 on CPUs and GPUs can take up to two years. Additionally, fine-tuning the model requires NLP and ML expertise, which is why GPT models have been kept out of the reach of most organisations. In order to deploy AI language solution development swiftly, companies and enterprises need easy, quick and cost-effective models.
Secondly, pre-trained models lack production readiness, accuracy and scalability. Pre-trained models available today lack accuracy and performance due to the lack of fine-tuning with domain-specific data. Additionally, these models are not production-ready and are not scalable.
Thirdly, the presently available GPT models are hampering the advancement of AI applications. Restricted by inefficient compute power, the models push conventional technologies beyond their capacities, forcing workloads and hampering the advancement of AI applications.
SambaNova Systems aims to address that challenge.
What’s in the new GPT?
SambaNova Systems has developed and optimised its AI-powered language model on a purpose-built Reconfigurable Dataflow Architecture – offered as DaaS. SambaNova Systems’ GPT is easy to implement, integrate and use with the help of low code API interfaces. Additionally, these benefits help increase the accuracy of the model, thereby helping enterprises gain a competitive edge.
Interestingly, these enterprise capabilities of GPT are also available as cloud services through SambaNova Systems’ partners.
GPT by SambaNova Systems is the first enterprise-level language model with the promise of being used in most businesses. The availability of SambaNova Systems’ GPT for enterprises comes with the following benefits:
- Low code APIs enable ease-of-use, inference and implementation.
- Reduced model and infrastructure hassle of machine learning engineers, staff cost and time savings.
- Enterprise-level accuracy levels for actual real-life businesses; mission-critical results instead of theoretical hypothesis.
Additionally, its availability as a DaaS makes the natural language processing capabilities all the more efficient during the production and deployment of language models. It can be used for sentiment analysis (for customer support and feedback), reputation management and brand monitoring. Additionally, it can also come in handy for document classification, including sorting text or articles and directing them to the relevant teams, identifying patient information and prescriptions, and extracting information in the fintech space.
Summing up
GPT has now become the model of choice for enterprises indulging in language implementations– text generation and summarization, sentiment analysis, document classification, information extraction and question-answering systems.
While OpenAI’s GPT-3 is extremely powerful and uses deep learning to produce almost human-like text, the long queue for its availability doesn’t make it as popular among organisations.
Rodrigo Liang, CEO and Co-founder of SambaNova Systems, said that enterprises are insistent about exploring the usage of AI for purposes related to text and language; however, so far, it has not been ‘accessible’ or made available for deployment at a large scale. By offering SambaNova Systems’ GPT model on a subscription basis, the company plans to simplify the process of accessing the AI-based language model in a few seconds.
Whether or not SambaNova Systems’ GPT creates noise as GPT-3, only time will tell. However, its potential and promises seem to be wide currently.
