Retrieval-Augmented Generation (RAG) – Make your Enterprise GenAI ready
RAG is a technique used to feed enterprise-specific knowledge to a LLM based on which the model can provide better quality responses to a user’s query
RAG is a technique used to feed enterprise-specific knowledge to a LLM based on which the model can provide better quality responses to a user’s query
Small Language Models (SLM) offer a balance between performance and efficiency, making them a more practical choice for many Organizations in their Generative AI journey.
In today’s API-driven world, the ability to seamlessly interact with various external services unlocks incredible possibilities. Azure OpenAI service’s Function Calling feature takes this a step further by empowering Large Language Models (LLMs) like GPT-3.5-turbo-16k and GPT-4 to make intelligent API calls and process responses. Additionally, this capability seamlessly integrates AI prowess with external data…
In the realm of technological advancements, few innovations have sparked as much intrigue and debate as Artificial Intelligence (AI). From enhancing efficiency in industries to revolutionizing healthcare and entertainment, AI has become an integral part of our daily lives. However, as AI continues to evolve and permeate various aspects of society, questions regarding its ethical…