Empowering Innovation with Chatbots: A Deep Dive into Practical Techniques

This session provides a broad overview, offering you tools to take your first steps in creating useful LLM-based solutions (e.g. chatbots, coding assistants) and the knowledge of advanced techniques to pursue for efficiency improvements. Don’t miss this chance to deepen your understanding of LLMs and their transformative role across industries.

Download Presentation

In this webinar, we explored the potential of Large Language Models (LLMs), covering what they are, how they work, and effective ways to use them completely local to your device. Attendees gained hands-on insights into building a chatbot trained on their own documents, while learning about key concepts like chunking, text embeddings, and vector stores.

The session provided a broad overview, equipping participants with tools to take their first steps in creating useful LLM-based solutions (such as chatbots and coding assistants), along with an understanding of advanced techniques to improve efficiency. It was a valuable opportunity to deepen understanding of LLMs and their transformative role across industries.

What Was Covered

  • How to use LLMs locally to ensure private data security
  • Practical demonstrations of building a RAG pipeline
  • Creating a coding assistant using local LLMs
  • High-level knowledge of advanced techniques to maximise LLM performance

Who Attended

  • Scientists
  • Engineers
  • Enthusiasts
Download Presentation
About the Presenter
About the Presenters

Daluxolo Hadebe is a consultant specialising in the application of Artificial Intelligence and model operations to enhancing engineering design and engineered systems. He has a background in aeronautical engineering from the University of the Witwatersrand and a data science qualification from Explore AI Academy. He is passionate about the inclusion of data science techniques in the overall engineering workflow and deriving value from software methods to solve problems. His key interests are predictive maintenance, large language models and computer vision.

Stay up to date with the lastest Opti-Num news

Thank you!
Your submission has been received!
Oops! Something went wrong while submitting the form.