diff --git a/doc/ADVANCED_TWEAKING.md b/doc/ADVANCED_TWEAKING.md
index 0aa1768..ea3103e 100644
--- a/doc/ADVANCED_TWEAKING.md
+++ b/doc/ADVANCED_TWEAKING.md
@@ -320,7 +320,7 @@ While the calculation makes sense in how it compensates for inteval and total tr
 
 If you use `ema_strength_target` the actual calculated `ema_decay_rate` used will be printed in your logs, and you should pay attention to this value and use it to inform your future decisions on EMA tuning.
 
-[Experimental results](https://discord.com/channels/1026983422431862825/1150790432897388556) for EMA on Discord.
+[Experimental results](https://discord.com/channels/1026983422431862825/1150790432897388556) for general use of EMA on Discord.
 
 ## AdaCoor optimizer
 
diff --git a/doc/CAPTION_COG.md b/doc/CAPTION_COG.md
index f44d233..2b1a877 100644
--- a/doc/CAPTION_COG.md
+++ b/doc/CAPTION_COG.md
@@ -1,3 +1,15 @@
+# Synthetic Captioning
+
+Script now works with the following:
+
+    --model "THUDM/cogvlm-chat-hf"
+
+    --model "THUDM/cogvlm2-llama3-chat-19B"
+
+    --model "xtuner/llava-llama-3-8b-v1_1-transformers"
+
+    --model "THUDM/glm-4v-9b"
+
 # CogVLM captioning
 
 CogVLM ([code](https://github.com/THUDM/CogVLM)) ([model](https://huggingface.co/THUDM/cogvlm-chat-hf)) is, so far (Q1 2024), the best model for automatically generating captions.