Update README.md

README.md

@@ -8,7 +8,7 @@ tags:
 
 ## Model Details
 
-Arctic is a Dense-MoE Hybrid transformer architecture pre-trained from scratch by the Snowflake AI 
+Arctic is a dense-MoE Hybrid transformer architecture pre-trained from scratch by the Snowflake AI 
 Research Team. We are releasing model checkpoints for both the base and instruct-tuned versions of 
 Arctic under an Apache-2.0 license. This means you can use them freely in your own research, 
 prototypes, and products. Please see our blog 
@@ -37,7 +37,7 @@ For the latest details about Snowflake Arctic including tutorials, etc. please r
 
 Arctic combines a 10B dense transformer model with a residual 128x3.66B MoE MLP resulting in 480B 
 total and 17B active parameters chosen using a top-2 gating. For more details about Arctic's model
-architecture please see our cookbook 
+Architecture, training process, data, etc. [see our series of cookbooks](https://www.snowflake.com/en/data-cloud/arctic/cookbook/).
 
 
 ## Usage
@@ -62,4 +62,4 @@ pip install "deepspeed>=0.14.2"
 The Arctic github page has several resources around running inference:
 
 * Example with pure-HF: https://github.com/Snowflake-Labs/snowflake-arctic/blob/main/inference
-* Tutorial using vLLM: https://github.com/Snowflake-Labs/snowflake-arctic/tree/main/inference/vllm
+* Tutorial using vLLM: https://github.com/Snowflake-Labs/snowflake-arctic/tree/main/inference/vllm