Update README.md

README.md

@@ -10,16 +10,18 @@ pinned: false
 license: mit
 ---
 
+## Friendly Fincancial Bot
+\
 This is the Inference module of a 3-part FTI feature-training-inference RAG-framework LLMOps course. \
-In this iteration, I've replaced Falcon 7B Instruct with the currently-SoTa (Jan '24) Mistral-7B-Instruct-v0.2, \
-fine-tuned using Unsloth on financial questions and answers generated with the help of GPT-4, quantized \
+In this iteration, I've **replaced Falcon 7B Instruct with the currently-SoTa (Jan '24) Mistral-7B-Instruct-v0.2**, \
+fine-tuned using **Unsloth** on financial questions and answers generated with the help of GPT-4, quantized \
 and augmented with a 4bit QLoRa. \
 \
-Prompt analysis and model registry is handled by Comet LLM, and finance news is pulled via an Alpaca API, processed \
-by Bytewax, and then sent as a vector embedding to Qdrant's serverless vector store. LangChain chains the prompt and \
+Prompt analysis and model registry is handled by **Comet LLM**, and finance news is pulled via an **Alpaca API**, processed \
+by **Bytewax**, and then sent as a vector embedding to **Qdrant**'s serverless vector store. **LangChain** chains the prompt and \
 most relevant news article to provide answers with real-time finance information embedded within the output. \
 \
-#TODO: Add citations to output to show end-user which article has been used to generate the output.
+**#TODO:** Add citations to output to show end-user which article has been used to generate the output.
 
 I have contributed to the original MIT licensed (ka-ching!) course which can be found here: \
 [https://medium.com/decoding-ml/the-llms-kit-build-a-production-ready-real-time-financial-advisor-system-using-streaming-ffdcb2b50714]