Create app.py

app.py

@@ -0,0 +1,31 @@
+import streamlit as st
+
+st.markdown("""
+### Outline: Super Intelligent Large Language Models Enhancing Learning Process
+
+1. 🧠 Large language models (LLMs): 👩‍💻 Powerful AI tools for understanding human language
+2. 📚 Reading skills: 🚀 LLMs boost comprehension and knowledge retention
+3. ✍️ Writing skills: 💡 LLMs provide suggestions and improve writing quality
+4. 🔄 Interaction: 🤖 LLMs learn from users and adapt to their needs
+5. 🌐 Knowledge expansion: 📈 LLMs facilitate learning new concepts and ideas
+6. 💪 Reinforcement learning: 🏆 Essential for improving LLM performance
+7. 🧪 Human feedback: 👥 Fine-tunes LLM behavior and capabilities
+8. 📏 Rouge and Bleu: 🎯 Metrics to measure AI effectiveness
+9. 💼 Methodology: 🔍 Streamlined process for patenting LLM innovations
+10. 🚀 Future impact: 🌎 Transforming how we learn and communicate
+
+## Methodology and Process Outline
+1. Develop a super intelligent LLM with vast knowledge and understanding
+2. Enhance user's reading and writing skills through LLM assistance
+3. Enable user interaction for continuous LLM improvement
+4. Utilize reinforcement learning and human feedback for LLM optimization
+5. Measure LLM effectiveness with Rouge and Bleu metrics
+6. Refine and adapt the methodology based on user expectations
+7. Streamline and protect the innovative process through patenting
+
+By following this methodology, a super intelligent large language model can effectively multiply and add to our learning process of reading and writing, while being continuously improved through reinforcement learning and human feedback.
+
+
+
+""")
+