Integration of Spring AI with Knowledge Graphs
Today’s rapidly evolving technological environment has created a need to integrate artificial intelligence (AI) into corporate Infrastructure. there is an increasing need for these systems to understand and process vast amounts of structured data. This is where knowledge graphs come into play, offering a structured way to represent and interpret data that reflects real-world relationships. […]
Read MoreFine-Tuning Large Language Models (LLMs) with Transfer Learning in a Spring Data Pipeline
Large Language Models (LLMs) like GPT-4 have transformed the landscape of natural language processing (NLP making it possible to create smart apps that can understand and write text like human. But to make these models work best for specific business needs, they often need extra training on data from that field. This process called transfer […]
Read MoreSpring AI and Large Language Models (LLMs) Integration
Integrating Spring AI with Large Language Models (LLMs) combines the power of intelligent text generation with the robust architecture of Spring. While LLMs like GPT-4 excel at generating and understanding human-like text, Spring AI enhances this capability by providing a solid, scalable framework for deploying and managing these models within enterprise applications. This integration allows […]
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