Chatbot Evaluation through Q&A Test Sets

Join our team to help advance the evaluation of a cutting-edge data analysis chatbot. This is a hands-on opportunity to work in a fast-paced environment, contributing to a project that spans multiple industries and enhances our chatbot's ability to provide accurate, relevant insights across diverse data domains. In this role, you’ll develop a collection of Question & Answer (Q&A) sets designed to test and benchmark the performance of our AI-driven chatbot. You’ll work directly with structured datasets across specific industries to create targeted Q&A sets, helping us improve and refine our chatbot’s data analysis capabilities. Who Should Apply: Experience using ChatGPT, Llama, and/or other LLMs. Students in fields such as Data Science, Computer Science, Business Analytics, or similar. Strong analytical and problem-solving skills, with an interest in data science and machine learning. Experience with large datasets and familiarity with data visualization and trend analysis. Working experience in industries relating to healthcare, environment, marketing, and others.

Integrations with Popular Data Systems

The goal of this project is to use AI to help create integrations with popular data systems for Ample Insight Inc., a leading Canadian data consulting firm. This will involve several different steps for the students, including: - Researching and understanding the different data systems and their APIs. - Designing and developing software to integrate with the APIs of the data systems. - Testing the integrations to ensure that they are working properly. - Optimizing the software for performance and scalability. - Troubleshooting any issues that arise with the integrations.

Data Assessment and Preparation for AI Model Training

The goal of this project is to assess and prepare data for data engineering and use in training AI models for Ample Insight Inc. This will involve several different steps for the students, including: - Analyzing existing datasets to identify any discrepancies or issues. - Cleaning and formatting the data to ensure it is suitable for use in AI models. - Developing algorithms to process and transform the data. - Optimizing the data for use in AI models. - Testing the data to ensure accuracy and reliability.

Market Research and Strategy for Ample Insight's Atlas Product

The main goal of this project is to conduct market research and help identify additional markets and customers for Ample Insight Inc.'s new product, Atlas (https://www.ampleinsight.com/atlas). Additionally, provide recommendations on new marketing and sales strategies. This will involve several different steps for the students, including: - Analyzing the current market for Atlas. - Identifying potential new markets and customers for Atlas. - Researching and analyzing competitors and their strategies. - Developing a comprehensive marketing and sales plan for Atlas. - Creating a budget for the marketing and sales plan. - Testing the marketing and sales plan and making adjustments as needed.