Evaluating Open-Source Local LLMs: A Comparative Analysis with Proprietary Giants for Developer App

This session will evaluate open-source local large language models (LLMs) and compare their performance, flexibility, and applicability to large proprietary foundational models. We will explore how model size impacts performance, the feasibility of fine-tuning models for specific projects or coding languages, and the advantages of using local open-source models over their commercial counterparts. Attendees will gain insights into the practical considerations for selecting and deploying LLMs in development environments, focusing on data privacy, cost-effectiveness, and customization.