Deploying LLM and MVP AI models

The next CPT ML meet-up will have 2 speakers and will be hosted at SPAN's office. Arrive at 18:00 for some networking and food. Talks start at 19:00 and will end 20:00.

Talk 1 by Prince Canuma:
LLMOps: Deploying LLMs and Scale using Modal Labs + Langchain + Huggingface

Summary:
Problem: The deployment, monitoring, and scaling of Large Language Models (LLMs) remain a challenging endeavour for both businesses and researchers. With an increasing dependency on LLMs for diverse applications, the hurdles of infrastructure management, context-awareness, and efficient token streaming become ever more pressing. Addressing these challenges is essential for maximizing the impact of LLMs across industries.

Talk 2 by Matimba Nkuna:
The lean MVP in the age of AI

Bio:
I am Matimba Nkuna, a seasoned data scientist and entrepreneur with a rich background in AI and Location Intelligence. I founded timbuk2.ai, an AI-driven location intelligence startup that employs generative AI to provide insightful location intelligence across various industries. In 2020, I also established Bantubyte, a rapidly growing AI & software consultancy that has worked with notable clients including The Shoprite Group and the African Union. With a decade of experience under my belt, I specialize in harnessing the power of AI to tackle complex business challenges and create user-centred data products.