c

src/AI/AI-Deep-Learning.md

@@ -435,3 +435,4 @@ Moreover, to generate an image from a text prompt, diffusion models typically fo
 
 
 {{#include ../banners/hacktricks-training.md}}
+

src/AI/AI-MCP-Servers.md

@@ -103,3 +103,4 @@ AI-Prompts.md
 {{#endref}}
 
 {{#include ../banners/hacktricks-training.md}}
+

src/AI/AI-Model-Data-Preparation-and-Evaluation.md

@@ -240,3 +240,4 @@ The confusion matrix can be used to calculate various evaluation metrics, such a
 
 
 {{#include ../banners/hacktricks-training.md}}
+

src/AI/AI-Reinforcement-Learning-Algorithms.md

@@ -77,3 +77,4 @@ SARSA is an **on-policy** learning algorithm, meaning it updates the Q-values ba
 On-policy methods like SARSA can be more stable in certain environments, as they learn from the actions actually taken. However, they may converge more slowly compared to off-policy methods like Q-Learning, which can learn from a wider range of experiences.
 
 {{#include ../banners/hacktricks-training.md}}
+

src/AI/AI-Supervised-Learning-Algorithms.md

@@ -1029,3 +1029,4 @@ Ensemble methods like this demonstrate the principle that *"combining multiple m
 
 {{#include ../banners/hacktricks-training.md}}
 
+

src/AI/AI-Unsupervised-Learning-Algorithms.md

@@ -457,3 +457,4 @@ Here we combined our previous 4D normal dataset with a handful of extreme outlie
 
 
 {{#include ../banners/hacktricks-training.md}}
+