Expert perspectives on AI, engineering, and the future of work from our team.
Retrieval-Augmented Generation (RAG) is an advanced AI architecture that combines two key components, a retriever to fetch relevant information from an external knowledge source and a generator (a large language model) to create human-like responses using that information.
In the era of Generative AI, the quality and scale of data processing have become more critical than ever. While sophisticated language models and ML algorithms steal the spotlight, the behind-the-scenes work of data preparation remains the unsung hero of successful AI implementations.
The Dawn of Believable AI Voices explores Sesame's advanced conversational speech model, highlighting its breakthrough in generating natural, expressive AI voices that enhance human-computer interactions.
The integration of AI in manufacturing can enhance operational efficiency, reduce costs, and drive innovation - with predictive analysis, supply chain optimization and much more. Read 5 such use cases of AI in the manufacturing industry.
Arun Raj
Ragul Kachiappan
Jesso ClarenceJesso Clarence
