An LLM Quick Guide for Enterprise Architects
Blog post from Vertesia
Large Language Models (LLMs) are advanced machine learning models with the ability to understand and generate human language, proving essential in digital transformation and automation across businesses. Utilizing deep learning techniques, LLMs are trained on extensive textual data, enabling them to perform tasks such as text generation, summarization, language translation, sentiment analysis, and virtual assistance. Their versatility allows adaptation to various industries through pre-training and fine-tuning processes. However, integrating LLMs into enterprise architectures can be complex, necessitating platforms for efficient management and orchestration to address challenges related to development speed, scalability, security, and maintenance. Investing in such platforms provides benefits like accelerated development, robust infrastructure, and enhanced security, ultimately allowing enterprises to capitalize on AI-driven efficiencies and innovations.