Evan Clarke@EvenClerk

The chatbot uses the pdf (Car manual) as a data source. The data source is parsed with Llamaindex parser. And the data is embedded with hugging face embedding. and Its feed to LLama3 model. Make A I make Mac AIC is the place to understand and quickly diagnose car troubles. Oftentimes car owners are saddled with long wait periods and labor costs only to understand their vehicle's problems. Mac aims to reduce waste by quickly diagnosing or help narrow down the issue by training on bulky car manuals like so which often run into hundreds if not close to 1000 pages on maintenance files and even service records. And finally leveraging the lifelike user experience of an LM based chat bot Mac AIC could be a game changer to the auto service industry.

⌚ Dive into a 48-hour journey of creativity. 🚀 Compete to craft an app supercharged by Llama 3. 🎓 Expert mentors will guide you every step of the way. 🏆 Win an opportunity to participate in the Lablab NEXT acceleration program, exciting cash prizes, credits, and gear from LlamaIndex, Together AI & Zilliz 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!