From 622ede737d65e613deaaea8c6d2d40c599bcbb5b Mon Sep 17 00:00:00 2001
From: Tatiana Savina <tatiana.savina@intel.com>
Date: Thu, 22 Aug 2024 13:15:47 +0200
Subject: [PATCH 1/2] [DOCS] Minor docs fixes (#26180)

### Details:
 - *item1*
 - *...*

### Tickets:
 - *ticket-id*
---
 .../learn-openvino/llm_inference_guide/genai-guide.rst        | 2 +-
 .../model-optimization-guide/weight-compression.rst           | 4 ----
 2 files changed, 1 insertion(+), 5 deletions(-)

diff --git a/docs/articles_en/learn-openvino/llm_inference_guide/genai-guide.rst b/docs/articles_en/learn-openvino/llm_inference_guide/genai-guide.rst
index 06ac3642df7334..c9a7264d475288 100644
--- a/docs/articles_en/learn-openvino/llm_inference_guide/genai-guide.rst
+++ b/docs/articles_en/learn-openvino/llm_inference_guide/genai-guide.rst
@@ -317,7 +317,7 @@ OpenVINO GenAI Flavor includes the following API:
 
 * visibility  -  controls the visibility of the GenAI library.
 
-Learn more about API in the `GenAI repository <https://github.com/openvinotoolkit/openvino.genai/tree/master/src/cpp/include/openvino/genai>`__.
+Learn more in the `GenAI API reference <https://docs.openvino.ai/2024/api/genai_api/api.html>`__.
 
 Additional Resources
 ####################
diff --git a/docs/articles_en/openvino-workflow/model-optimization-guide/weight-compression.rst b/docs/articles_en/openvino-workflow/model-optimization-guide/weight-compression.rst
index da4f34b8806aea..2d5fc0f1b98d46 100644
--- a/docs/articles_en/openvino-workflow/model-optimization-guide/weight-compression.rst
+++ b/docs/articles_en/openvino-workflow/model-optimization-guide/weight-compression.rst
@@ -7,10 +7,6 @@ Weight compression is a technique for enhancing the efficiency of models,
 especially those with large memory requirements. This method reduces the model's
 memory footprint, a crucial factor for Large Language Models (LLMs).
 
-Weight compression is a technique for enhancing the efficiency of models,
-especially those with large memory requirements. This method reduces the model's
-memory footprint, a crucial factor for Large Language Models (LLMs).
-
 Unlike full model quantization, where weights and activations are quantized,
 weight compression in `Neural Network Compression Framework (NNCF) <https://github.com/openvinotoolkit/nncf>`__
 only targets the model's weights. This approach allows the activations to remain as

From 34d076332c0f2a40a19e244af0852788b9245dc4 Mon Sep 17 00:00:00 2001
From: Tatiana Savina <tatiana.savina@intel.com>
Date: Fri, 23 Aug 2024 11:10:54 +0200
Subject: [PATCH 2/2] add whitespace

---
 .../learn-openvino/llm_inference_guide/genai-guide.rst           | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/articles_en/learn-openvino/llm_inference_guide/genai-guide.rst b/docs/articles_en/learn-openvino/llm_inference_guide/genai-guide.rst
index c9a7264d475288..2d47f9deacc24c 100644
--- a/docs/articles_en/learn-openvino/llm_inference_guide/genai-guide.rst
+++ b/docs/articles_en/learn-openvino/llm_inference_guide/genai-guide.rst
@@ -317,6 +317,7 @@ OpenVINO GenAI Flavor includes the following API:
 
 * visibility  -  controls the visibility of the GenAI library.
 
+
 Learn more in the `GenAI API reference <https://docs.openvino.ai/2024/api/genai_api/api.html>`__.
 
 Additional Resources