Update documentation for llama

pipeline/src/data_generation/llama/set_sampling_options.cpp

@@ -1,3 +1,10 @@
+/**
+ * Sampling Configuration Module
+ * Configures the hyperparameters that control probabilistic token selection
+ * during text generation. These settings affect the randomness, diversity, and
+ * quality of generated output.
+ */
+
 #include <stdexcept>
 
 #include "data_generation/llama_generator.h"
@@ -5,19 +12,37 @@
 
 void LlamaGenerator::SetSamplingOptions(float temperature, float top_p,
                                         int seed) {
+   /**
+    * Validate temperature: controls randomness in output distribution
+    * 0.0 = deterministic (always pick highest probability token)
+    * Higher values = more random/diverse output
+    */
    if (temperature < 0.0f) {
       throw std::runtime_error(
           "LlamaGenerator: sampling temperature must be >= 0");
    }
+
+   /**
+    * Validate top-p (nucleus sampling): only sample from top cumulative
+    * probability e.g., top-p=0.9 means sample from tokens that make up 90% of
+    * probability mass
+    */
    if (!(top_p > 0.0f && top_p <= 1.0f)) {
       throw std::runtime_error(
           "LlamaGenerator: sampling top-p must be in (0, 1]");
    }
+
+   /**
+    * Validate seed: for reproducible results (-1 uses random seed)
+    */
    if (seed < -1) {
       throw std::runtime_error(
           "LlamaGenerator: seed must be >= 0, or -1 for random");
    }
 
+   /**
+    * Store sampling parameters for use during token generation
+    */
    sampling_temperature_ = temperature;
    sampling_top_p_ = top_p;
    sampling_seed_ = (seed < 0) ? static_cast<uint32_t>(LLAMA_DEFAULT_SEED)