LLMs

[bhuiyanmobasshir94]

📚LLMOps Specialization: https://insight.paiml.com/a8e
📚Introduction to Generative AI: https://insight.paiml.com/ee2
📚Operationalizing LLMs on Azure: https://insight.paiml.com/e2u
📚Databricks to Local LLMs: https://insight.paiml.com/i6k
📚Advanced Data Engineering: https://insight.paiml.com/uvi
📚GenAI and LLMs on AWS: https://insight.paiml.com/3x7
📚Open Source LLMOps Solutions: https://insight.paiml.com/x0g

[bhuiyanmobasshir94]

I've crafted a 5-day roadmap, with 2-3 hours of learning each day, but feel free to adjust it to fit your schedule.

🎊 The best part- all of these materials listed are readily accessible online for free!

Here's the link: https://lnkd.in/eAHgJ5vt

These are the topics covered:
⛳Day 1: LLM Basics and Foundations
⛳Day 2: Prompting for LLMs
⛳Day 3: Retrieval Augmented Generation (RAG)
⛳Day 4: LLM Fine-Tuning
⛳Day 5: LLM Applications and Tooling

💡 Once you've established your foundation, use the Github repository to dive deeper into research papers, explore additional courses, and continue enhancing your skills.

[bhuiyanmobasshir94]

https://github.com/mlabonne/llm-course