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Starts 7 June 2025 18:15
Ends 7 June 2025
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Implementing Large Language Models Inference in Pure C++ - A Llama 2 Case Study
Dive into implementing Llama 2 model inference using pure C++, exploring dependency-free solutions and optimization techniques for efficient language model deployment.
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Overview
Dive into implementing Llama 2 model inference using pure C++, exploring dependency-free solutions and optimization techniques for efficient language model deployment.
Syllabus
- Introduction to Large Language Models
- Environment Setup for C++ Development
- Fundamentals of C++
- Understanding Llama 2's Architecture
- Implementing Model Inference in Pure C++
- Optimization Techniques
- Dependency-Free Solutions
- Testing and Validation
- Deployment Strategies
- Conclusion and Future Directions
Overview of Language Models
Introduction to Llama 2
Key Features of Llama 2
Tools and Compilers for C++
Setting Up a Coding Environment
Introduction to Build Systems
Key C++ Concepts
C++ Data Structures
Memory Management in C++
Model Architecture Overview
Input and Output Structure
Computational Graphs
Key Components Required for Inference
Writing C++ Code for Model Layers
Handling Weights and Biases
Code Optimization Strategies
Memory Efficiency Improvements
Utilizing Parallel Processing
Techniques for Eliminating Dependencies
Implementing Custom Matrix Operations
Serialization and Deserialization
Unit Testing in C++
Validating Model Output
Performance Testing
Deploying C++ Applications
Examples of Real-World Deployments
Monitoring and Maintenance
Recap of Key Learnings
Future Trends in Language Model Deployment
Continuing Education and Resources
Subjects
Programming
