Moving Beyond the Prompt
📰 Medium · LLM
Learn to move beyond basic prompts in LLMs by utilizing context, embeddings, and semantic search to improve model performance and efficiency
Action Steps
- Apply context to LLM models to improve performance
- Use temperature, Top-K, and Top-P controls to fine-tune model responses
- Implement embeddings and semantic search to efficiently store and retrieve model knowledge
- Utilize vector databases to optimize model performance
- Test and evaluate model performance using various metrics and techniques
Who Needs to Know This
This micro-lesson is beneficial for AI engineers, data scientists, and product managers working with LLMs, as it provides practical solutions to common problems in LLM development and deployment. By applying these techniques, teams can improve the accuracy and efficiency of their LLM models.
Key Insight
💡 Providing context and utilizing embeddings and semantic search can significantly improve LLM performance and efficiency
Share This
🤖 Move beyond basic prompts in LLMs with context, embeddings, and semantic search! 🚀
Key Takeaways
Learn to move beyond basic prompts in LLMs by utilizing context, embeddings, and semantic search to improve model performance and efficiency
Full Article
Title: Moving Beyond the Prompt
URL Source: https://medium.com/@lmno3418/moving-beyond-the-prompt-9d20b57b6819?source=rss------llm-5
Published Time: 2026-07-17T14:17:13Z
Markdown Content:
[Sitemap](https://medium.com/sitemap/sitemap.xml)
[Open in app](https://play.google.com/store/apps/details?id=com.medium.reader&referrer=utm_source%3DmobileNavBar&source=---top_nav_layout_nav-----------------------------------------)
Sign up
[Sign in](https://medium.com/m/signin?operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40lmno3418%2Fmoving-beyond-the-prompt-9d20b57b6819&source=post_page---top_nav_layout_nav-----------------------global_nav------------------)
[](https://medium.com/?source=---top_nav_layout_nav-----------------------------------------)
Get app
[Write](https://medium.com/m/signin?operation=register&redirect=https%3A%2F%2Fmedium.com%2Fnew-story&source=---top_nav_layout_nav-----------------------new_post_topnav------------------)
[Search](https://medium.com/search?source=---top_nav_layout_nav-----------------------------------------)
Sign up
[Sign in](https://medium.com/m/signin?operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40lmno3418%2Fmoving-beyond-the-prompt-9d20b57b6819&source=post_page---top_nav_layout_nav-----------------------global_nav------------------)
1. [A Beginner-Friendly Guide to Agentic AI, RAG, Local LLMs, and the Modern AI Stack](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#4255 "A Beginner-Friendly Guide to Agentic AI, RAG, Local LLMs, and the Modern AI Stack")
2. [1. Starting at the Beginning: What Is AI?](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#d7df "1. Starting at the Beginning: What Is AI?")
3. [Artificial Intelligence](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#b84f "Artificial Intelligence")
4. [Generative AI](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#6c62 "Generative AI")
5. [2. What Exactly Is an LLM?](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#1bcb "2. What Exactly Is an LLM?")
6. [3. The Controls Behind AI Responses](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#5317 "3. The Controls Behind AI Responses")
7. [Temperature](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#9c3d "Temperature")
8. [Top-K and Top-P](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#bf75 "Top-K and Top-P")
9. [Context Window](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#742b "Context Window")
10. [4. Problem #1: The “Ghajini Effect” — LLMs Don’t Naturally Remember Everything](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#e7cb "4. Problem #1: The “Ghajini Effect” — LLMs Don’t Naturally Remember Everything")
11. [5. Solution #1: Give the Model Context](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#add8 "5. Solution #1: Give the Model Context")
12. [6. New Problem: You Can’t Keep Sending Everything](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#573c "6. New Problem: You Can’t Keep Sending Everything")
13. [7. Better Solution: Embeddings and Semantic Search](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#ad35 "7. Better Solution: Embeddings and Semantic Search")
14. [What Is an Embedding?](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#2d39 "What Is an Embedding?")
15. [What Is a Vector Database?](https://medium.com/
URL Source: https://medium.com/@lmno3418/moving-beyond-the-prompt-9d20b57b6819?source=rss------llm-5
Published Time: 2026-07-17T14:17:13Z
Markdown Content:
[Sitemap](https://medium.com/sitemap/sitemap.xml)
[Open in app](https://play.google.com/store/apps/details?id=com.medium.reader&referrer=utm_source%3DmobileNavBar&source=---top_nav_layout_nav-----------------------------------------)
Sign up
[Sign in](https://medium.com/m/signin?operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40lmno3418%2Fmoving-beyond-the-prompt-9d20b57b6819&source=post_page---top_nav_layout_nav-----------------------global_nav------------------)
[](https://medium.com/?source=---top_nav_layout_nav-----------------------------------------)
Get app
[Write](https://medium.com/m/signin?operation=register&redirect=https%3A%2F%2Fmedium.com%2Fnew-story&source=---top_nav_layout_nav-----------------------new_post_topnav------------------)
[Search](https://medium.com/search?source=---top_nav_layout_nav-----------------------------------------)
Sign up
[Sign in](https://medium.com/m/signin?operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40lmno3418%2Fmoving-beyond-the-prompt-9d20b57b6819&source=post_page---top_nav_layout_nav-----------------------global_nav------------------)
1. [A Beginner-Friendly Guide to Agentic AI, RAG, Local LLMs, and the Modern AI Stack](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#4255 "A Beginner-Friendly Guide to Agentic AI, RAG, Local LLMs, and the Modern AI Stack")
2. [1. Starting at the Beginning: What Is AI?](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#d7df "1. Starting at the Beginning: What Is AI?")
3. [Artificial Intelligence](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#b84f "Artificial Intelligence")
4. [Generative AI](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#6c62 "Generative AI")
5. [2. What Exactly Is an LLM?](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#1bcb "2. What Exactly Is an LLM?")
6. [3. The Controls Behind AI Responses](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#5317 "3. The Controls Behind AI Responses")
7. [Temperature](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#9c3d "Temperature")
8. [Top-K and Top-P](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#bf75 "Top-K and Top-P")
9. [Context Window](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#742b "Context Window")
10. [4. Problem #1: The “Ghajini Effect” — LLMs Don’t Naturally Remember Everything](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#e7cb "4. Problem #1: The “Ghajini Effect” — LLMs Don’t Naturally Remember Everything")
11. [5. Solution #1: Give the Model Context](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#add8 "5. Solution #1: Give the Model Context")
12. [6. New Problem: You Can’t Keep Sending Everything](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#573c "6. New Problem: You Can’t Keep Sending Everything")
13. [7. Better Solution: Embeddings and Semantic Search](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#ad35 "7. Better Solution: Embeddings and Semantic Search")
14. [What Is an Embedding?](https://medium.com/?source=post_page-----9d20b57b6819---------------------------------------#2d39 "What Is an Embedding?")
15. [What Is a Vector Database?](https://medium.com/
DeepCamp AI