Speaker

Ronnie Atuhaire

Ronnie Atuhaire

FinTech Enthusiast • Computer Scientist

Kampala, Uganda

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I am a Computer Science Student at Makerere University. I am a proud member of many tech communities including Twilio, Blockchain, GDSC (Google Developer Students Club), the Cybersecurity Association, and the Internet Society of Uganda. Additionally, I actively engage in various micro meetups and organizations that align with my tech interests.

In my free time, I channel my passion for technology into technical writing and vlogging, allowing me to share knowledge and insights with a broader audience. Alongside these endeavors, I am deeply involved in nurturing my startup projects, including MpaMpe and mPoint Hub. As a lifelong learner, I continuously seek opportunities for personal and professional growth within the ever-evolving world of technology.

I have also made significant contributions to the tech landscape as a Microsoft and Wolfram Ambassador, Twilio Champion, Notion Campus Lead, and GDSC Lead facilitating collaboration and knowledge sharing within global tech communities.

More: https://linktr.ee/Atuhaire

Area of Expertise

  • Finance & Banking
  • Information & Communications Technology
  • Media & Information

Topics

  • LLMs
  • Technical Writing
  • Python
  • Content Creation
  • ML
  • AI
  • FinTech

Mastering the Art of Prompt Engineering with LLMs

In this presentation, we delve into the art and science of Prompt Engineering, focusing on crafting effective inputs for Artificial Intelligence and Large Language Models (AI/LLMs). Prompt Engineering plays a crucial role in shaping the interactions and outputs of AI systems, ranging from generating creative content to solving complex problems.

Understanding RAG and Multi-Agent GenAI: A Gentle Introduction

In the rapidly evolving landscape of artificial intelligence, understanding the synergy between Retrieval-Augmented Generation (RAG) and Multi-Agent Generative AI is crucial for developers and tech enthusiasts alike. This talk serves as a gentle introduction to these transformative technologies, demystifying their concepts and exploring their applications.

We will begin by defining RAG, a powerful approach that enhances generative models by integrating external knowledge sources. This allows AI systems to provide more accurate, contextually relevant responses, which is invaluable in applications such as chatbots, content generation, and information retrieval systems. Attendees will learn how RAG combines information retrieval with natural language generation, fundamentally improving the user experience.

Next, we will delve into Multi-Agent Generative AI, highlighting how multiple AI agents can work collaboratively to tackle complex tasks efficiently. By coordinating their efforts, these agents can enhance productivity and creativity in various applications, from collaborative content creation to dynamic problem-solving.

The session will also illustrate how RAG can be effectively integrated into multi-agent systems, showcasing real-world examples where these technologies have been employed. By the end of the talk, participants will have a foundational understanding of RAG and Multi-Agent Generative AI, along with insights into their future potential across diverse industries.

Technical & Creative Writing

Technical writing is a writing discipline that involves communicating complex information to those who need it to carry out a specific task or achieve a certain goal. Because of this, technical writing is often defined as “simplifying the complex.”

See the full presentation here: https://www.docdroid.net/oXUqoNG/technical-creative-writing-pdf

Ronnie Atuhaire

FinTech Enthusiast • Computer Scientist

Kampala, Uganda

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