Update README.md

README.md

@@ -43,7 +43,6 @@ The following models are finetuned on MPT-30B:
 * [MPT-30B-Instruct](https://huggingface.co/mosaicml/mpt-30b-instruct): a model for short-form instruction following.
 Built by finetuning MPT-30B on several carefully curated datasets.
   * License: _CC-By-NC-SA-3.0_
-  * [Demo on Hugging Face Spaces](https://huggingface.co/spaces/mosaicml/mpt-30b-instruct)
 
 * [MPT-30B-Chat](https://huggingface.co/mosaicml/mpt-30b-chat): a chatbot-like model for dialogue generation.
 Built by finetuning MPT-30B on [ShareGPT-Vicuna](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered), [Camel-AI](https://huggingface.co/camel-ai),
@@ -61,7 +60,7 @@ Apache-2.0
 
 ## Documentation
 
-* [Blog post: MPT-30B: Raising the bar for open-source commercial foundation models](https://www.mosaicml.com/blog/mpt-30b)
+* [Blog post: MPT-30B: Raising the bar for open-source foundation models](https://www.mosaicml.com/blog/mpt-30b)
 * [Codebase (mosaicml/llm-foundry repo)](https://github.com/mosaicml/llm-foundry/)
 * Questions: Feel free to contact us via the [MosaicML Community Slack](https://mosaicml.me/slack)!
 
@@ -236,8 +235,8 @@ Please cite this model using the following format:
 ```
 @online{MosaicML2023Introducing,
     author    = {MosaicML NLP Team},
-    title     = {Introducing MPT-30B: A New Standard for Open-Source,
-    ly Usable LLMs},
+    title     = {Introducing MPT-30B: Raising the bar
+for open-source foundation models},
     year      = {2023},
     url       = {www.mosaicml.com/blog/mpt-30b},
     note      = {Accessed: 2023-06-22},