Merge pull request #122 from FederatedAI/feature-2.2.0-update_doc

Feature 2.2.0 update doc
FederatedAI · Aug 1, 2024 · 5fad8d8 · 5fad8d8
2 parents c5a9d6a + cc9c82e
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diff --git a/doc/standalone_deploy.md b/doc/standalone_deploy.md
@@ -41,14 +41,7 @@ After installing successfully, please refer to [tutorials](../README.md#quick-st
 In this way, user can run tasks with Pipeline or Launcher. 
 
 ### 3.1 Installing Python Environment
-- Prepare and install [conda](https://docs.conda.io/projects/miniconda/en/latest/) environment.
-- Create a virtual environment:
-
-```shell
-# FATE-LLM requires Python >= 3.10
-conda create -n fate_env python=3.10
-conda activate fate_env
-```
+Please refer to section-2.1
 
 ### 3.2 Installing FATE-LLM with FATE, FATE-Flow, FATE-Client
 
@@ -59,7 +52,8 @@ pip install fate_client[fate,fate_flow,fate_client]==2.2.0
 ### 3.3 Service Initialization
 
 ```shell
-fate_flow init --ip 127.0.0.1 --port 9380 --home $HOME_DIR
+mkdir fate_workspace
+fate_flow init --ip 127.0.0.1 --port 9380 --home $(pwd)/fate_workspace
 pipeline init --ip 127.0.0.1 --port 9380
 ```
 - `ip`: The IP address where the service runs.

diff --git a/doc/tutorial/fdkt/fdkt.ipynb b/doc/tutorial/fdkt/fdkt.ipynb
@@ -426,6 +426,7 @@
     "        seq_num_for_single_category=2000,\n",
     "        slm_generation_config=dict(\n",
     "            max_new_tokens=256,\n",
+    "            do_sample=True,\n",
     "            temperature=1.0,\n",
     "            top_k=50,\n",
     "            top_p=0.9,\n",
@@ -636,6 +637,7 @@
     "        seq_num_for_single_category=2000,\n",
     "        slm_generation_config=dict(\n",
     "            max_new_tokens=256,\n",
+    "            do_sample=True,\n",
     "            temperature=1.0,\n",
     "            top_k=50,\n",
     "            top_p=0.9,\n",