Update README.md

README.md

@@ -16,15 +16,15 @@ Our model training initiatives fall into four major categories:
 
 **SLIMs** - small, specialized function calling models for stacking in multi-model, Agent-based workflows -- [SLIMs](https://medium.com/@darrenoberst/slims-small-specialized-models-function-calling-and-multi-model-agents-8c935b341398)   
 **BLING/DRAGON** - highly-accurate fact-based question-answering models  
-  -- [SMALL MODEL ACCURACY BENCHMARK](https://medium.com/@darrenoberst/best-small-language-models-for-accuracy-and-enterprise-use-cases-benchmark-results-cf71964759c8) | 
-  -- [OUR JOURNEY BUILDING ACCURATE ENTERPRISE SMALL MODELS](https://medium.com/@darrenoberst/building-the-most-accurate-small-language-models-our-journey-781474f64d88)  
+  -- [small model accuracy benchmark](https://medium.com/@darrenoberst/best-small-language-models-for-accuracy-and-enterprise-use-cases-benchmark-results-cf71964759c8) | 
+   [our journey building small accurate language models](https://medium.com/@darrenoberst/building-the-most-accurate-small-language-models-our-journey-781474f64d88)  
 **Industry-BERT** - industry fine-tuned embedding models  
 **Private Inference** - Self-Hosting, Packaging and Quantization - GGUF, ONNX, OpenVino  
 
 Please check out a few of our recent blog postings related to these initiatives:   
-  [THINKING DOES NOT HAPPEN ONE TOKEN AT A TIME](https://medium.com/@darrenoberst/thinking-does-not-happen-one-token-at-a-time-0dd0c6a528ec) | 
-  [RAG-INSTRUCT-TEST-DATASET](https://medium.com/@darrenoberst/how-accurate-is-rag-8f0706281fd9) | 
-  [LLMWARE EMERGING STACK](https://medium.com/@darrenoberst/the-emerging-llm-stack-for-rag-deee093af5fa) | 
-  [BECOMING A MASTER FINETUNING CHEF](https://medium.com/@darrenoberst/6-tips-to-becoming-a-master-llm-fine-tuning-chef-143ad735354b)  
+  [thinking does not happen one token at a time](https://medium.com/@darrenoberst/thinking-does-not-happen-one-token-at-a-time-0dd0c6a528ec) | 
+  [rag instruct test dataset](https://medium.com/@darrenoberst/how-accurate-is-rag-8f0706281fd9) | 
+  [llmware emerging stack](https://medium.com/@darrenoberst/the-emerging-llm-stack-for-rag-deee093af5fa) | 
+  [becoming a master finetuning chef](https://medium.com/@darrenoberst/6-tips-to-becoming-a-master-llm-fine-tuning-chef-143ad735354b)  
   
 Interested?  [Join us on Discord](https://discord.gg/MhZn5Nc39h)