Monica Gaviran@moga

The idea for SolvIT is to automate IT helpdesk with a chatbot. The primary features of the solution are: -Enable answering questions from internal knowledge bank -Address complex product “How to” questions that typically takes hours for IT analyst to figure out -Enable image processing to communicate effectively about an IT issue faced. -Collect Human feedback response. SolvIT can handle complex IT queries. It outperforms standard GPT-4 models by accurately synthesizing queries and delivering correct responses. this is enabled with RAG over a knowledge base. SolvIT excels at addressing both standard and custom application queries, leveraging GPT-4 Vision to interpret context from images/screenshots, ensuring accurate resolutions every time. We used Trulens to refine data inputs, benchmark performance, and evaluate tradeoffs. It's instrumental in troubleshooting issues, ensuring SolvIT development and improvement was measurable.

👩‍💻Explore Vectara, the trusted platform for building innovative AI applications with advanced datasets. 🚀 One week of intensive online development with workshops and mentorship sessions! 🏆15,000 USD prize pool (including 7,000 USD in cash) with special prizes from LlamaIndex, Unstructured, Vectara, and Together.ai 🤝 Opportunities for networking with developers and startup enthusiasts. 💡 Create applications that help create a positive change in the world and drive impact! 🕵️Create Vectara account to be eligible for hackathon participation and fill out the application form to be accepted.

Embrace app creation with a game-changing mobile app from Google! 👊 Try new true competitor of ChatGPT 4 💡 Create app with intuitive support fr0m Gemini Ultra 1.0 🤝 Take part alone or form a team with other participants

Build with Aya to accelerate multilingual AI progress! 🕒 48 hours to complete the challenge 💡 Create apps with fine-tuning multilingual instructions from Aya. 🤝 Take part alone or form a team with other participants 🚀 The final project can be used for your portfolio, and the startup application to the Slingshot accelerator