Delve into the fascinating world of Large Language Models (LLMs) and their myriad applications with Abi Aryan, a self-taught computer scientist and machine learning engineer, in this enlightening Ask-Me-Anything session on “The Deep Learning Podcast by Deci.”
Key Highlights:
Guest Introduction: Meet Abi Aryan, a self-taught computer scientist, and machine learning engineer, as she shares her extensive experience in leveraging AI for smarter software systems development.
Challenges in MLOps: The discussion kicks off with a deep dive into the challenges of MLOps, exploring computational resources, industry distribution, and nuances of data collection and labeling.
Market Landscape: Aryan provides insights into the market landscape, highlighting the transformative role of large language models (LLMs) in diverse industries such as e-commerce, insurance, media, and entertainment.
Transition to MLOps and LLMops: Explore the transition from MLOps to LLMops, understanding the unique challenges and future prospects in the development and deployment of large language models.
Q&A Session: Engage in a dynamic Q&A session where Aryan addresses audience questions, covering topics such as challenges in LLM development, incorporating AI agents into software services, evaluating models, and the balance between fine-tuning and prompt engineering.
Applications in Legal Research: Uncover the applications of LLMs in legal research and document analysis, showcasing their potential impact on enhancing efficiency and accuracy in the legal domain.
Choosing the Right Framework: Aryan shares insights into the considerations for choosing the right framework for LLM deployment, offering practical tips for ensuring seamless integration and performance.
Future of Libraries and Computer Vision Models: Gain a glimpse into the future with discussions on libraries like LangChain, the potential emergence of computer vision-focused models, and considerations for running LLM applications on low-level hardware.
Cost Considerations and Career Trajectories: The session concludes with considerations on cost in training models, developing Minimum Viable Products (MVPs), discussions on different roles in the AI space, and insights into potential career trajectories.
Join us in this enlightening conversation with Abi Aryan as she demystifies large language models, offering profound insights into their challenges, applications, and the exciting future they hold in the ever-evolving landscape of artificial intelligence.
