Update publications and documentations (#1056)

Signed-off-by: chensuyue <[email protected]>
intel · Jul 3, 2023 · 20f9704 · 20f9704
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diff --git a/.azure-pipelines/scripts/codeScan/pyspelling/inc_dict.txt b/.azure-pipelines/scripts/codeScan/pyspelling/inc_dict.txt
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diff --git a/README.md b/README.md
@@ -137,14 +137,18 @@ q_model = fit(
   </tbody>
 </table>
 
+> More documentations can be found at [User Guide](./docs/source/user_guide.md).
+
 ## Selected Publications/Events
-* Blog on Medium: [Intel Optimization at Netflix](https://medium.com/@amerather_9719/intel-optimization-at-netflix-79ef0efb9d2) (May 2023)
-* Blog on Medium: [Effective Post-training Quantization for Large Language Models with Enhanced SmoothQuant Approach](https://medium.com/@NeuralCompressor/effective-post-training-quantization-for-large-language-models-with-enhanced-smoothquant-approach-93e9d104fb98) (Apr 2023)
-* Blog by Intel: [Intel® Xeon® Processors Are Still the Only CPU With MLPerf Results, Raising the Bar By 5x](https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Intel-Xeon-Processors-Are-Still-the-Only-CPU-With-MLPerf-Results/post/1472750) (Apr 2023)
+* Blog by MSFT: [Olive: A user-friendly toolchain for hardware-aware model optimization](https://cloudblogs.microsoft.com/opensource/2023/06/26/olive-a-user-friendly-toolchain-for-hardware-aware-model-optimization/) (June 2023)
+* Blog by MSFT: [Automate optimization techniques for transformer models](https://cloudblogs.microsoft.com/opensource/2023/06/26/automate-optimization-techniques-for-transformer-models/) (June 2023)
+* Post on Social Media: [Get Started Post-Training Dynamic Quantization | AI Model Optimization with Intel® Neural Compressor](https://www.youtube.com/watch?v=5xHKe4wWLes&list=PLg-UKERBljNxC8dmjx7jJA2YADWOFuj_p&index=4) (June 2023)
+* Post on Social Media: [How to Choose AI Model Quantization Techniques | AI Model Optimization with Intel® Neural Compressor](https://www.youtube.com/watch?v=ie3w_j0Ntsk) (June 2023)
+* Post on Social Media: [What is AI Model Optimization | AI Model Optimization with Intel® Neural Compressor | Intel Software](https://www.youtube.com/watch?v=m2LokuUdeVg&list=PLg-UKERBljNxC8dmjx7jJA2YADWOFuj_p&index=2) (June 2023)
 * NeurIPS'2022: [Fast Distilbert on CPUs](https://arxiv.org/abs/2211.07715) (Oct 2022)
 * NeurIPS'2022: [QuaLA-MiniLM: a Quantized Length Adaptive MiniLM](https://arxiv.org/abs/2210.17114) (Oct 2022)
 
-> View our [Full Publication List](./docs/source/publication_list.md).
+> View [Full Publication List](./docs/source/publication_list.md).
 
 ## Additional Content
 

diff --git a/docs/source/publication_list.md b/docs/source/publication_list.md
@@ -1,6 +1,12 @@
-Full Publications/Events (60)
+Full Publications/Events (66)
 ==========
-## 2023 (7)
+## 2023 (13)
+* Blog by MSFT: [Olive: A user-friendly toolchain for hardware-aware model optimization](https://cloudblogs.microsoft.com/opensource/2023/06/26/olive-a-user-friendly-toolchain-for-hardware-aware-model-optimization/) (June 2023)
+* Blog by MSFT: [Automate optimization techniques for transformer models](https://cloudblogs.microsoft.com/opensource/2023/06/26/automate-optimization-techniques-for-transformer-models/) (June 2023)
+* Post on Social Media: [Get Started Post-Training Dynamic Quantization | AI Model Optimization with Intel® Neural Compressor](https://www.youtube.com/watch?v=5xHKe4wWLes&list=PLg-UKERBljNxC8dmjx7jJA2YADWOFuj_p&index=4) (June 2023)
+* Post on Social Media: [How to Choose AI Model Quantization Techniques | AI Model Optimization with Intel® Neural Compressor](https://www.youtube.com/watch?v=ie3w_j0Ntsk) (June 2023)
+* Post on Social Media: [What is AI Model Optimization | AI Model Optimization with Intel® Neural Compressor | Intel Software](https://www.youtube.com/watch?v=m2LokuUdeVg&list=PLg-UKERBljNxC8dmjx7jJA2YADWOFuj_p&index=2) (June 2023)
+* Blog on Medium: [Streamlining Model Optimization as a Service with Intel Neural Compressor](https://medium.com/intel-analytics-software/streamlining-model-optimization-as-a-service-with-intel-neural-compressor-fd970fdb2928) (June 2023)
 * Blog on Medium: [Intel Optimization at Netflix](https://medium.com/@amerather_9719/intel-optimization-at-netflix-79ef0efb9d2) (May 2023)
 * Blog on Medium: [Effective Post-training Quantization for Large Language Models with Enhanced SmoothQuant Approach](https://medium.com/@NeuralCompressor/effective-post-training-quantization-for-large-language-models-with-enhanced-smoothquant-approach-93e9d104fb98) (Apr 2023)
 * Blog by Intel: [Intel® Xeon® Processors Are Still the Only CPU With MLPerf Results, Raising the Bar By 5x](https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Intel-Xeon-Processors-Are-Still-the-Only-CPU-With-MLPerf-Results/post/1472750) (Apr 2023)

diff --git a/docs/source/user_guide.md b/docs/source/user_guide.md
@@ -72,14 +72,17 @@ This part provides the advanced topics that help user dive deep into Intel® Neu
 <tr>
 <td colspan="2" align="center"><a href="adaptor.md">Adaptor</a></td>
 <td colspan="2" align="center"><a href="tuning_strategies.md">Strategy</a></td>
-<td colspan="3" align="center"><a href="objective.md">Objective</a></td>
-<td colspan="3" align="center"><a href="distillation_quantization.md">Distillation for Quantization</a></td>
+<td colspan="2" align="center"><a href="objective.md">Objective</a></td>
 </tr>
 <tr>
-<td colspan="2" align="center"><a href="smooth_quant.md">SmoothQuant</a></td>
 <td colspan="2" align="center"><a href="diagnosis.md">Diagnosis</a></td>
-<td colspan="3" align="center"><a href="add_new_data_type.md">Add New Data Type</a></td>
-<td colspan="3" align="center"><a href="add_new_adaptor.md">Add New Adaptor</a></td>
+<td colspan="2" align="center"><a href="add_new_data_type.md">Add New Data Type</a></td>
+<td colspan="2" align="center"><a href="add_new_adaptor.md">Add New Adaptor</a></td>
+</tr>
+<tr>
+<td colspan="2" align="center"><a href="distillation_quantization.md">Distillation for Quantization</a></td>
+<td colspan="2" align="center"><a href="smooth_quant.md">SmoothQuant</a></td>
+<td colspan="2" align="center"><a href="quantization_weight_only.md">Weight-Only Quantization</a></td>
 </tr>
 </tbody>
 </table>