Large Language Models

Concept and definition

Large Language Models

What is Large Language Models?

Large Language Models are artificial intelligence models designed to process and understand natural language on an enormous scale. These models are trained using deep learning techniques and large amounts of linguistic data, with the goal of capturing the complexities and subtleties of human language. Large language models have proven to be very effective in a wide variety of natural language processing tasks, such as text generation, machine translation, speech recognition, sentiment analysis and automatic question answering. Notable examples of large language models include OpenAI's GPT-3 model and Google's T5 model.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.
Fill the form
Share:
How to choose the best Business Intelligence (BI) solution for your business

More and more companies are taking advantage of the relevant information they extract from the data they possess and generate to improve their processes and discover new ways to [...]

Read More »
Types of analysis performed with Big Data

Big data analytics is the process of analyzing large and complex data sources to uncover trends, patterns, customer behaviors, and other data sources [...]

Read More »
Big Data applied to business

The Big Data market is booming. Although the need to transform data into information for decision making is not new, the need to [...]

Read More »
AI in the energy sector: main use cases

There is a consensus among executives of the world's leading companies about the crucial impact that Artificial Intelligence (AI) will have on the [...]

Read More »
See more entries
© Gamco 2021, All Rights Reserved - Legal notice - Privacy - Cookies