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A Brief History of Large Language Models

Large language models are artificial neural networks (algorithms) that have gone from a recent development to widespread use within a few years. They have been instrumental in the development of ChatGPT, the next evolutionary step in artificial intelligence. Generative AI was combined with large language models to produce a smarter version of artificial intelligence. Large […]

Semantic Technology Trends in 2024

The trends of semantic technology for 2024 will be based on a range of technological improvements. The introduction of ChatGPT has produced a variety of primary and secondary effects on semantic technology and the industries using it. ChatGPT significantly improves AI’s use and understanding of language. Semantic technology uses “formal semantics” to provide meaning to […]

Kinetica Launches Native Large Language Model

According to a new press release, Kinetica, a leader in real-time analytics, has unveiled a native large language model (LLM) integrated with its innovative architecture, enabling users to perform real-time, natural language-based data analysis without the need for external API calls. Unlike public LLMs, Kinetica’s solution prioritizes data privacy and security by keeping data within […]

Large Language Models: The New Era of AI and NLP

Artificial intelligence (AI) has witnessed remarkable progress in recent years, with one of its most notable achievements being the development of large language models (LLMs). These models have revolutionized the field of natural language processing (NLP), enabling machines to understand and generate human-like text at an unprecedented scale. LLMs are sophisticated AI systems trained on large text […]

Couchbase Adds Generative AI Capabilities to Database-as-a-Service Platform

According to a new press release, Couchbase, a leading cloud database platform company, has unveiled a groundbreaking feature called Capella iQ within its database-as-a-service offering, Couchbase Capella™. Capella iQ integrates generative AI capabilities to empower developers to create modern applications more efficiently and expeditiously. The tool enables developers to harness natural language processing to swiftly […]

A Brief History of Natural Language Processing

Natural language processing (NLP) helps computers understand and use human languages. In the early 1900s, a Swiss linguistics professor named Ferdinand de Saussure died, and in the process, almost deprived the world of the concept of “Language as a Science,” which eventually led to natural language processing. From 1906 to 1911, Professor Saussure offered three […]

The Future of Deep Learning

Deep learning (DL) became an overnight “star” when a robot player beat a human player in the famed game of AlphaGo. Deep learning training and learning methods have been widely acknowledged for “humanizing” machines. Many of the advanced automation capabilities now found in enterprise AI platforms are due to the rapid growth of machine learning […]

A Brief History of Semantics

As a word, “semantics” was first used by Michel Bréal, a French philologist (a language historian),in 1883. He studied how languages are organized, how languages change as time passes, and the connections within languages. Gen erally speaking, semantics is the study of language and its meaning.  More specifically, semantics can be used to describe how […]