This September, Smartly.AI enhanced transparency by improving observability in conversational agents, allowing you to trace interactions and understand decisions for better explainability.

The Smartly method for successful RAG chatbot projects ensures comprehensive, effective, and innovative solutions by meticulously defining user needs, prioritizing use cases, and continuously improving through iterative development and regular evaluations.

This article explores how an intelligent chatbot can significantly enhance the customer experience on an e-commerce site. By detecting latent needs and offering personalized solutions, the chatbot transforms interactions, simplifies shopping, and boosts customer satisfaction.

This blog post examines the carbon footprint of ChatGPT, highlighting that each query emits around 4.32 grams of CO2. It discusses the environmental impact of AI models during training and usage phases and suggests strategies to reduce their carbon footprint, emphasizing the need for greener solutions.

This article explores the functionalities and differences between two popular web scraping tools, Cheerio and Puppeteer, highlighting their use cases, performance, and best scenarios for implementation in developing knowledge-based chatbots.