Build Your Own Chat Bot Using Python by randerson112358 DataDrivenInvestor I dive into LangChain’s Chain functionality in greater detail in my first article on the series, that you can access here. You can adjust the above script to better fit your specific needs. These examples show possible attributes for each category. In practical applications, storing this data in a database for dynamic retrieval is more suitable. With this in mind, I aim to write a comprehensive tutorial covering Function Calling beyond basic introductions (there are already plenty of tutorials for it). The focus will be on practical implementation, building a fully autonomous AI agent and integrating it with Streamlit for a ChatGPT-like interface. They have all harnessed this fun utility to drive business advantages...[Read More]
How insurance companies work with IBM to implement generative AI-based solutions Its generative AI features include developing personalized training courses with minimum input, increasing engagement through interactive material, and delivering real-time data to track learning progress and effectiveness. Vendorful is an AI-powered automatic response generator that simplifies the process of responding to RFPs, RFIs, and security questionnaires. Its AI assistant learns from existing content such as previous responses and product documents to provide accurate and contextually appropriate responses quickly. This allows procurement teams to save time, enhance response quality, and raise their chances of winning bids. One industry that seems nearly synonymous with AI is advertising and marketing,...[Read More]