LLM

In the past year, GenAI has transitioned from experimentation to reality. What began as simple prompt testing and proof-of-concept chatbots has now transitioned to systems that support real business workflows. However, while building our GenAI knowledge engine: a system that reads hundreds of PDF pages, creates embeddings, and answers enterprise questions, it became apparent that […]

As organizations increase AI adoption across various business units, small language models are gaining prominence for delivering resource-efficient intelligence that can run on mobile devices, edge platforms, and constrained environments. Deploying and scaling large language model-based applications can be cost-intensive, depending on acquiring training datasets, model type and size, customization, compute infrastructure, scalability, fine-tuning, etc. […]