No Rose Without a Thorn - Obstacles to Successful LLM Deployments
Offered By: MLOps.community via YouTube
Course Description
Overview
Explore the challenges and pitfalls of deploying Large Language Models (LLMs) in production environments in this insightful 10-minute talk by Tanmay Chopra, a machine learning engineer at Neeva. Delve into the complexities that arise when moving beyond demos and MVPs to real-world applications. Examine both infrastructural and output-focused issues, including foundational model downtime, latency concerns, output variability, and prompt injections. Gain valuable insights into potential solutions for these obstacles, equipping yourself with the knowledge to navigate the intricacies of LLM deployment in both direct-to-user and intermediate layer scenarios.
Syllabus
No Rose Without a Thorn - Obstacles to Successful LLM Deployments // Tanmay Chopra // LLMs in Prod
Taught by
MLOps.community
Related Courses
AI CTF Solutions - DEFCon31 Hackathon and Kaggle CompetitionRob Mulla via YouTube Indirect Prompt Injections in the Wild - Real World Exploits and Mitigations
Ekoparty Security Conference via YouTube Hacking Neural Networks - Introduction and Current Techniques
media.ccc.de via YouTube The Curious Case of the Rogue SOAR - Vulnerabilities and Exploits in Security Automation
nullcon via YouTube Mastering Large Language Model Evaluations - Techniques for Ensuring Generative AI Reliability
Data Science Dojo via YouTube