[DOCS] Fixing code snippet for GenAI on NPU (#28106)

Porting: #28098

Signed-off-by: sgolebiewski-intel <[email protected]>

docs/articles_en/learn-openvino/llm_inference_guide/genai-guide-npu.rst

@@ -90,6 +90,7 @@ which do not require specifying quantization parameters:
 | Below is a list of such models:
 
 * meta-llama/Meta-Llama-3-8B-Instruct
+* meta-llama/Llama-3.1-8B
 * microsoft/Phi-3-mini-4k-instruct
 * Qwen/Qwen2-7B
 * mistralai/Mistral-7B-Instruct-v0.2
@@ -133,6 +134,7 @@ you need to add ``do_sample=False`` **to the** ``generate()`` **method:**
 
          int main(int argc, char* argv[]) {
             std::string model_path = "TinyLlama";
+            ov::genai::LLMPipeline pipe(models_path, "NPU");
             ov::genai::GenerationConfig config;
             config.do_sample=false;
             config.max_new_tokens=100;

docs/articles_en/learn-openvino/llm_inference_guide/genai-guide.rst

@@ -28,7 +28,7 @@ make sure to :doc:`install OpenVINO with GenAI <../../get-started/install-openvi
 
 .. dropdown:: Text-to-Image Generation
 
-   OpenVINO GenAI introduces the openvino_genai.Text2ImagePipeline for inference of text-to-image
+   OpenVINO GenAI introduces ``openvino_genai.Text2ImagePipeline`` for inference of text-to-image
    models such as: as Stable Diffusion 1.5, 2.1, XL, LCM, Flex, and more.
    See the following usage example for reference.
 
@@ -908,7 +908,7 @@ running the following code:
 GenAI API
 #######################################
 
-The use case described here uses the following OpenVINO GenAI API classes:
+The use case described here regards the following OpenVINO GenAI API classes:
 
 * generation_config - defines a configuration class for text generation,
   enabling customization of the generation process such as the maximum length of