Iris.ai is an innovative platform designed to assist researchers in handling vast amounts of scientific data efficiently. With tools for smart search, comprehensive filtering, autonomous data extraction, and automatic summarization, Iris.ai simplifies complex research tasks. The platform is ideal for finding relevant scientific papers, understanding large datasets, and generating concise summaries to aid decision-making and enhance productivity in research-driven environments.

PandasAI is a Python library that enhances the functionality of Pandas by integrating generative AI capabilities. It allows users to query, filter, and manipulate dataframes using natural language. This diminishes the learning curve for non-technical users, making data analysis more intuitive and user-friendly. By leveraging large language models (LLMs) like GPT-3.5/4, PandasAI transforms complex data operations into simple conversational interactions.