Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more

Building Simple and Efficient Chatbots Step-by-Step


Utilizing chatbots enhances productivity by automating repetitive tasks and simplifying complex processes. In this live session, we will cover fundamental concepts related to chatbots. Discover strategies to enhance LLM responses with efficient prompts and the RAG approach. For a hands-on implementation, we will use the LangChain Framework to build our own chatbot.

Key Takeaways:
1. Grasping the fundamentals of chatbots and LLMs.
2. Improving LLM responses with effective prompts.
3. Elevating chatbot efficiency through the RAG approach.
4. Simplify the process of building efficient chatbots using LangChain Framework.

For hands-on implementation, attendees will receive a Git repository link during the webinar.

Building Simple And Efficient Chatbots Step-By-Step
Izma Aziz

Associate Data Scientist at Data Science Dojo

Izma holds a Bachelor’s degree in Computer and Information Systems Engineering from NEDUET, where she earned a bronze medal. As a Computer Systems Engineer, she has cultivated expertise in Python, Machine Learning, Deep Learning, Data Analytics, MySQL and has gained familiarity with Azure. She has experience in large-scale projects involving Large Language Models (LLMs) and tasks related to Data (cleaning, extraction, analysis, and transformation) and Automation.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!