diff --git a/README.md b/README.md
index f3e02023..e47e05d0 100644
--- a/README.md
+++ b/README.md
@@ -2,26 +2,74 @@
-_**Fast, Distributed, Secure AI for Big Data**_
-
---
-## Latest News
+## BigDL-LLM
-- **Try the latest [`bigdl-llm`](python/llm) library for running LLM (large language model) on your Intel laptop or GPU using INT4 with very low latency!**[^1] *(It is built on top of the excellent work of [llama.cpp](https://github.com/ggerganov/llama.cpp), [gptq](https://github.com/IST-DASLab/gptq), [bitsandbytes](https://github.com/TimDettmers/bitsandbytes), [qlora](https://github.com/artidoro/qlora), etc., and supports any Hugging Face Transformers model)*
+**[`bigdl-llm`](python/llm)** is a library for running ***LLM*** (large language model) on your Intel ***laptop*** or ***GPU*** using INT4 with very low latency[^1] (for any **PyTorch** model).
+> *It is built on top of the excellent work of [llama.cpp](https://github.com/ggerganov/llama.cpp), [gptq](https://github.com/IST-DASLab/gptq), [ggml](https://github.com/ggerganov/ggml), [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), [bitsandbytes](https://github.com/TimDettmers/bitsandbytes), [qlora](https://github.com/artidoro/qlora), [gptq_for_llama](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [chatglm.cpp](https://github.com/li-plus/chatglm.cpp), [redpajama.cpp](https://github.com/togethercomputer/redpajama.cpp), [gptneox.cpp](https://github.com/byroneverson/gptneox.cpp), [bloomz.cpp](https://github.com/NouamaneTazi/bloomz.cpp/), etc.*
+
+### Latest update
+- `bigdl-llm` now supports Intel Arc or Flex GPU; see the the latest GPU examples [here](python/llm/example/gpu).
+- `bigdl-llm` tutorial is made availabe [here](https://github.com/intel-analytics/bigdl-llm-tutorial).
+- Over 20 models have been optimized/verified on `bigdl-llm`, including *LLaMA/LLaMA2, ChatGLM/ChatGLM2, MPT, Falcon, Dolly-v1/Dolly-v2, StarCoder, Whisper, QWen, Baichuan, MOSS,* and more; see the complete list [here](python/llm/README.md#verified-models).
+
+### `bigdl-llm` Demos
+See the ***optimized performance*** of `chatglm2-6b`, `llama-2-13b-chat`, and `starcoder-15b` models on a 12th Gen Intel Core CPU below.
-- **[Update] `bigdl-llm` now supports Intel Arc or Flex GPU; see the the latest GPU examples [here](python/llm/example/gpu).**
+### `bigdl-llm` quick start
-- **Over a dozen models have been verified on [`bigdl-llm`](python/llm)**, including *LLaMA/LLaMA2, ChatGLM/ChatGLM2, MPT, Falcon, Dolly-v1/Dolly-v2, StarCoder, Whisper, QWen, Baichuan,* and more; see the complete list [here](python/llm/README.md#verified-models).
+#### Install
+You may install **`bigdl-llm`** as follows:
+```bash
+pip install --pre --upgrade bigdl-llm[all]
+```
+> Note: `bigdl-llm` has been tested on Python 3.9
+
+#### Run Model
+
+You may apply INT4 optimizations to any Hugging Face *Transformers* models as follows.
+
+```python
+#load Hugging Face Transformers model with INT4 optimizations
+from bigdl.llm.transformers import AutoModelForCausalLM
+model = AutoModelForCausalLM.from_pretrained('/path/to/model/', load_in_4bit=True)
+
+#run the optimized model
+from transformers import AutoTokenizer
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+input_ids = tokenizer.encode(input_str, ...)
+output_ids = model.generate(input_ids, ...)
+output = tokenizer.batch_decode(output_ids)
+```
+*See the complete examples [here](python/llm/example/transformers/transformers_int4/).*
+
+>**Note**: You may apply more low bit optimizations (including INT8, INT5 and INT4) as follows:
+ >```python
+ >model = AutoModelForCausalLM.from_pretrained('/path/to/model/', load_in_low_bit="sym_int5")
+ >```
+ >*See the complete example [here](python/llm/example/transformers/transformers_low_bit/).*
+
+
+After the model is optimizaed using INT4 (or INT8/INT5), you may also save and load the optimized model as follows:
+
+```python
+model.save_low_bit(model_path)
+
+new_model = AutoModelForCausalLM.load_low_bit(model_path)
+```
+*See the complete example [here](python/llm/example/transformers/transformers_low_bit/).*
+
+***For more details, please refer to the `bigdl-llm` [Readme](python/llm), [Tutorial](https://github.com/intel-analytics/bigdl-llm-tutorial) and [API Doc](https://bigdl.readthedocs.io/en/latest/doc/PythonAPI/LLM/index.html).***
---
-## Overview
+## Overview of the complete BigDL project
BigDL seamlessly scales your data analytics & AI applications from laptop to cloud, with the following libraries:
diff --git a/docs/readthedocs/source/index.rst b/docs/readthedocs/source/index.rst
index 30a6050e..4be55297 100644
--- a/docs/readthedocs/source/index.rst
+++ b/docs/readthedocs/source/index.rst
@@ -1,17 +1,56 @@
.. meta::
:google-site-verification: S66K6GAclKw1RroxU0Rka_2d1LZFVe27M0gRneEsIVI
-BigDL: fast, distributed, secure AI for Big Data
+BigDL: fast and secure AI
=================================================
-Latest News
+BigDL-LLM
---------------------------------
-- **Try the latest** `bigdl-llm `_ **library for running LLM (large language model) on your Intel laptop using INT4 with very low latency!** [*]_. *(It is built on top of the excellent work of* `llama.cpp `_, `gptq `_, `bitsandbytes `_, *etc., and supports any Hugging Face Transformers model.)*
+`bigdl-llm `_ is a library for running **LLM** (large language model) on your Intel **laptop** or **GPU** using INT4 with very low latency [*]_ (for any **PyTorch** model).
+
+.. note::
+
+ It is built on top of the excellent work of `llama.cpp `_, `gptq `_, `bitsandbytes `_, `qlora `_, etc.
+
+Latest update
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+- ``bigdl-llm`` now supports Intel Arc and Flex GPU; see the the latest GPU examples `here `_.
+- ``bigdl-llm`` tutorial tutorial is made availabe `here `_.
+- Over a dozen models have been verified on ``bigdl-llm``, including *LLaMA/LLaMA2, ChatGLM/ChatGLM2, MPT, Falcon, Dolly-v1/Dolly-v2, StarCoder, Whisper, QWen, Baichuan,* and more; see the complete list `here `_.
+
+bigdl-llm quickstart
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+You may install ``bigdl-llm`` as follows:
+
+.. code-block:: console
+
+ pip install --pre --upgrade bigdl-llm[all]
+
+.. note::
+
+ ``bigdl-llm`` has been tested on Python 3.9.
+
+You can then apply INT4 optimizations to any Hugging Face *Transformers* models as follows.
+
+.. code-block:: python
+
+ #load Hugging Face Transformers model with INT4 optimizations
+ from bigdl.llm.transformers import AutoModelForCausalLM
+ model = AutoModelForCausalLM.from_pretrained('/path/to/model/', load_in_4bit=True)
+
+ #run the optimized model
+ from transformers import AutoTokenizer
+ tokenizer = AutoTokenizer.from_pretrained(model_path)
+ input_ids = tokenizer.encode(input_str, ...)
+ output_ids = model.generate(input_ids, ...)
+ output = tokenizer.batch_decode(output_ids)
+
+**For more details, please refer to the bigdl-llm** `Readme `_, `Tutorial `_ and `API Doc `_.
-- **[Update] Over a dozen models have been verified on** `bigdl-llm `_, including *LLaMA/LLaMA2, ChatGLM/ChatGLM2, MPT, Falcon, Dolly-v1/Dolly-v2, StarCoder, Whisper, QWen, Baichuan,* and more; see the complete list `here `_.
------
-Overview
+Overview of the complete BigDL project
---------------------------------
`BigDL `_ seamlessly scales your data analytics & AI applications from laptop to cloud, with the following libraries: