Latest significant breakthroughs
The field of GenAI has experienced rapid advancements over the past few years, with breakthroughs that pushed the boundaries of efficiency, adaptability, and reasoning capabilities. In the following sections, we are going to explore some of the latest techniques that significantly enhance GenAI models’ performance while reducing computational demands.
Small language models and fine-tuning
Small language models (SLMs) are becoming increasingly relevant as organizations seek efficient, cost-effective alternatives to large-scale AI systems.
Definition
SLMs are a streamlined category of GenAI models designed to efficiently process and generate natural language while using fewer computational resources than their larger counterparts. Unlike LLMs, which can have hundreds of billions of parameters, SLMs typically contain only a few million to a few billion parameters.
The reduced size of SLMs allows them to be deployed in environments with limited...
