How Hearby Uses AI Chat to Help Fans Find Music They'll Love
At Hearby, we are on a mission to utilize technology to discover and promote grassroots music, making it easier for music enthusiasts to uncover hidden gems in their local music scenes. Our AI chatbot, "Ask Hearby," is designed to streamline the process of finding the perfect music event, whether it's a night of clubbing, a classical concert, or family-friendly tunes.
The Power of AI Chatbot
Chatbots have revolutionized the way fans interact with music discovery platforms. Instead of sifting through endless search results and reviews, our chatbot allows users to simply state their preferences and receive tailored recommendations in an instant. Our goal was clear from the start: make the user experience seamless and enjoyable.
Training the AI
Training AI models involves feeding them large datasets with labeled information to enhance their predictive capabilities. While traditional methods can be resource-intensive, we leveraged Large Language Models (LLMs) that come pre-trained on vast amounts of text data. This enables our chatbot to understand and respond to user queries in a human-like manner.
Enhancing User Experience
Our team faced several challenges in integrating external data into the chatbot's responses to provide users with accurate information about events, venues, and artists. Through a combination of technologies like Bert NER and specialized models, we created a seamless experience that offers relevant answers with added context.
Empowering Music Discovery
By harnessing the potential of AI, we aim to empower music fans to explore new sounds and venues. Our chatbot is just the beginning of our AI journey, as we continue to explore Machine Learning and classification to enhance the music discovery experience further.
As we delve deeper into the world of LLMs, we are excited about the possibilities they offer in reshaping how we interact with technology. Our focus remains on uplifting grassroots music and providing music lovers with new and exciting ways to connect with the music scene.
