[chat] ChatGPT train prompts on ray example (#3309)

* [feat][chatgpt]train prompts on ray example

* [fix]simplify code

* [fix]remove depreciated parameter

* [fix]add dependencies

* [fix]method calling

* [fix]experience maker

* [fix]missing loss function

* [fix]init optimizer

* [feat]add usage comment

* [fix]rename files

* [fix]add readme

* [fix]file path

* [fix]move directory

---------
Co-authored-by: jiangwen <zxl265370@antgroup.com>

applications/Chat/examples/community/README.md

@@ -17,6 +17,7 @@ Community examples consist of both inference and training examples that have bee
 | Example                                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              | Code Example                                                      | Colab                                                                                                                                                                                                              |                                                     Author |
 |:---------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------:|
 | Peft           | Adding Peft support for SFT and Prompts model training                                                                                                                                                                                                                                                                                                                                                                                                                                   | [Huggingface Peft](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat/examples/community/peft)     | - |             [YY Lin](https://github.com/yynil) |
+| Train prompts on Ray           | A Ray based implementation of Train prompts example                                                                                                                                                                                                                                                                                                                                                                                                                                   | [Huggingface Peft](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat/examples/community/ray)     | - |             [MisterLin1995](https://github.com/MisterLin1995) |
 |...|...|...|...|...|
 
 ### How to get involved

applications/Chat/examples/community/ray/README.md

+# ColossalAI on Ray
+## Abstract
+This is an experimental effort to run ColossalAI Chat training on Ray
+## How to use?
+### 1. Setup Ray clusters
+Please follow the official [Ray cluster setup instructions](https://docs.ray.io/en/latest/cluster/getting-started.html) to setup an cluster with GPU support. Record the cluster's api server endpoint, it should be something similar to http://your.head.node.addrees:8265
+### 2. Clone repo
+Clone this project:
+```shell
+git clone https://github.com/hpcaitech/ColossalAI.git
+```
+### 3. Submit the ray job
+```shell
+python applications/Chat/examples/community/ray/ray_job_script.py http://your.head.node.addrees:8265
+```
+### 4. View your job on the Ray Dashboard
+Open your ray cluster dashboard http://your.head.node.addrees:8265 to view your submitted training job.

applications/Chat/examples/community/ray/ray_job_script.py

+import sys
+
+from ray.job_submission import JobSubmissionClient
+
+
+def main(api_server_endpoint="http://127.0.0.1:8265"):
+    client = JobSubmissionClient(api_server_endpoint)
+    client.submit_job(
+        entrypoint=
+        "python experimental/ray/train_prompts_on_ray.py --strategy colossalai_zero2 --prompt_csv_url https://huggingface.co/datasets/fka/awesome-chatgpt-prompts/resolve/main/prompts.csv",
+        runtime_env={
+            "working_dir":
+                "applications/Chat",
+            "pip": [
+                "torch==1.13.1", "transformers>=4.20.1", "datasets", "loralib", "colossalai>=0.2.4", "langchain",
+                "tokenizers", "fastapi", "sse_starlette", "wandb", "sentencepiece", "gpustat"
+            ]
+        })
+
+
+if __name__ == "__main__":
+    main(sys.argv[1])