2023-12-01 –, Main stage
In the rapidly evolving domain of artificial intelligence, open-source Large Language Models (LLMs) are playing a pivotal role. This talk aims to examine the significance of open-source models in democratising AI technology and fostering innovation. We will explore the key players in the open-source LLM landscape, highlighting how these models vary in terms of architecture, capabilities, and applications. Furthermore, practical insights on how to leverage these models for various use cases will be provided. Attendees will gain an understanding of the potential outcomes and transformative impacts that can be achieved through the effective utilisation of open-source LLMs.
I love to build and invest in the area of AI products and solutions.
I help enterprises implement and adopt AI.
I am an accomplished technology leader, startup founder, and AI expert with a passion for advancing the capabilities of technology through AI and machine learning. Over the course of my career, I've led the ideation and development of unique and innovative technology solutions, built high-performing R&D teams, and managed enterprise-level clients and investments.
With a particular focus on AI-powered products and advanced analytics, my expertise lies in harnessing the power of large language models and machine learning algorithms. My experience spans strategizing and implementing AI capabilities into digital products, building MVPs, and defining company-wide tech strategies.
I'm a data scientist and NLP researcher with a background in complex systems physics. Currently I work as NLP engineer at Data Friendly Space, an NGO active in the humanitarian and development sector, developing ML/NLP solutions for crisis response and secondary data analysis.