Update README.md

README.md

@@ -1,8 +1,8 @@
 ---
 title: Financial Bot
-emoji: 🏆
+emoji: 🚀
 colorFrom: red
-colorTo: pink
+colorTo: green
 sdk: gradio
 sdk_version: 4.16.0
 app_file: app.py
@@ -10,4 +10,16 @@ pinned: false
 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+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 \
+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 \
+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.
+
+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