diff --git a/docs/articles_en/about-openvino/performance-benchmarks/generative-ai-performance.rst b/docs/articles_en/about-openvino/performance-benchmarks/generative-ai-performance.rst index 03588eeb441f38..73c9f255ff3dbb 100644 --- a/docs/articles_en/about-openvino/performance-benchmarks/generative-ai-performance.rst +++ b/docs/articles_en/about-openvino/performance-benchmarks/generative-ai-performance.rst @@ -1,8 +1,15 @@ Most Efficient Large Language Models for AI PC ============================================== -The table below lists key performance indicators for a selection of Large Language Models -running on an Intel® Core™ Ultra 7-165H based system. +This page is regularly updated to help you identify the best-performing LLMs on the +Intel® Core™ Ultra processor family and AI PCs. + +The table below lists the key performance indicators for a selection of Large Language Models, +running on an Intel® Core™ Ultra 7-165H based system, on built-in GPUs. + +For complete information on the system config, see: +`Hardware Platforms [PDF] `__ + .. raw:: html @@ -54,7 +61,7 @@ running on an Intel® Core™ Ultra 7-165H based system. :class: modeldata stripe :name: supportedModelsTable :header-rows: 1 - :file: ../../_static/llm_models.csv + :file: ../../_static/download/llm_models.csv This page is regularly updated to help you identify the best-performing LLMs on the diff --git a/docs/openvino_sphinx_theme/openvino_sphinx_theme/templates/navbar-nav.html b/docs/openvino_sphinx_theme/openvino_sphinx_theme/templates/navbar-nav.html index faba6fc1538a62..8d428571f18b12 100644 --- a/docs/openvino_sphinx_theme/openvino_sphinx_theme/templates/navbar-nav.html +++ b/docs/openvino_sphinx_theme/openvino_sphinx_theme/templates/navbar-nav.html @@ -31,6 +31,13 @@ + +