Large language models are the computer programs that are trained on vast amounts of data in order to learn how to generate text based outputs that sound as close to natural human speech. Large Language Models are typically built by layering methods and functions, each of which are optimized for different tasks in processing or generating text. These models are the basis of many AI tools including chatbots for online shopping, code generators, or automatic summarizers, but it cannot be used right out the box for these tasks. Language models are typically trained to be general purpose, so in order to transform a language model into a usable application, additional work must be done.
This course focuses on giving an introduction to the process of building a large language model. We will also take a deeper look at how one would select an appropriate existing large language model to adapt to a user's needs.
Chatbots are programs designed to simulate conversation using natural language. Depending on the task required, the chatbot can be designed simply using functions and regular expressions or may call a large language model. In this course, we will categorize the different implementations possible when creating a chatbot and take a look at how one would implement each using the Python language and available libraries.
This course is designed to empower participants with the skills and knowledge to harness the power of AI agents, optimize engineering workflows, and drive unparalleled productivity. By integrating the principles of LangChain, LangSmith, Langflow, Code LLaMA, GitHub Copilot, and more, participants will be equipped to navigate the complexities of AI-driven engineering with confidence.
After completing the Generative AI courses within the 301 path (AI Agents & Engineering Productivity, LLM Conversational Engagement, Advanced LLMs, Building a Gen AI Chatbot), please complete the following capstone and assessment to get your certification. As well, please fill out the survey to provide feedback for this course!
This course has you to design, build, and deploy engaging conversational AI. You'll master the fundamentals of conversational AI, explore its ethical implications, and delve into practical application development using platforms like OpenAI and LangChain. As well as gain hands-on experience building conversational assistants, leverage Llama 2 models, and explore techniques for personalizing user interactions. By course end, you'll be able to analyze the performance of your creations and implement best practices to ensure responsible and user-centric conversational AI development.
