Emerging Architectures For Llm Applications
A comprehensive guide that provides a reference architecture for the emerging LLM app stack, showcasing the most common systems, tools, and design patterns used by AI startups and sophisticated tech companies.
Areas of application
- Natural Language Processing
- Computer Vision
- Recommendation Systems
- Predictive Modeling
- Robotics
- Autonomous Vehicles
Example
For instance, the guide might cover the use of containerization technologies such as Docker and Kubernetes to manage and deploy LLM models across different environments, or the adoption of cloud-native architectures to enable scalable and flexible deployment of LLM applications.