Embeddings example: improve documentation and styling

LLama.Examples/Examples/GetEmbeddings.cs

@@ -9,18 +9,34 @@ namespace LLama.Examples.Examples
             Console.Write("Please input your model path: ");
             var modelPath = Console.ReadLine();
 
+            Console.ForegroundColor = ConsoleColor.Yellow;
+            Console.WriteLine(
+                """
+                This example displays embeddings from a text prompt.
+                Embeddings are numerical codes that represent information like words, images, or concepts.
+                These codes capture important relationships between those objects, 
+                like how similar words are in meaning or how close images are visually.
+                This allows machine learning models to efficiently understand and process complex data.
+                Embeddings of a text in LLM is sometimes useful, for example, to train other MLP models.
+                """); // NOTE: this description was AI generated
+
             var @params = new ModelParams(modelPath) { EmbeddingMode = true };
+
             using var weights = LLamaWeights.LoadFromFile(@params);
             var embedder = new LLamaEmbedder(weights, @params);
 
             while (true)
             {
+                Console.ForegroundColor = ConsoleColor.White;
                 Console.Write("Please input your text: ");
                 Console.ForegroundColor = ConsoleColor.Green;
                 var text = Console.ReadLine();
                 Console.ForegroundColor = ConsoleColor.White;
 
-                Console.WriteLine(string.Join(", ", embedder.GetEmbeddings(text)));
+                float[] embeddings = embedder.GetEmbeddings(text).Result;
+                Console.WriteLine($"Embeddings contain {embeddings.Length:N0} floating point values:");
+                Console.ForegroundColor = ConsoleColor.DarkGray;
+                Console.WriteLine(string.Join(", ", embeddings.Take(20)) + ", ...");
                 Console.WriteLine();
             }
         }