# tokens
標記為「tokens」的 10 篇文章
Token Optimizer Techniques
Implementing token-level optimization algorithms for discovering adversarial inputs, including GCG, AutoDAN, and custom gradient-based approaches.
Token Counting and Estimation
Understand tokenization by counting and estimating tokens across different models and encoders.
Lab: Token Manipulation Basics
Understand how tokenization affects LLM behavior and practice basic token-level manipulation techniques.
Token-Level Adversarial Attacks
Using gradient-based optimization and token manipulation to discover adversarial suffixes that reliably trigger unsafe model behavior.
AI Rate Limiting Walkthrough
Step-by-step walkthrough for implementing token-aware rate limiting for AI applications: request-level limiting, token budget enforcement, sliding window algorithms, abuse detection, and production deployment.
Token Optimizer Techniques
Implementing token-level optimization algorithms for discovering adversarial inputs, including GCG, AutoDAN, and custom gradient-based approaches.
Token Counting and Estimation
Understand tokenization by counting and estimating tokens across different models and encoders.
實驗室: Token Manipulation Basics
Understand how tokenization affects LLM behavior and practice basic token-level manipulation techniques.
Token-Level Adversarial 攻擊s
Using gradient-based optimization and token manipulation to discover adversarial suffixes that reliably trigger unsafe model behavior.
AI Rate Limiting 導覽
Step-by-step walkthrough for implementing token-aware rate limiting for AI applications: request-level limiting, token budget enforcement, sliding window algorithms, abuse detection, and production deployment.