Talk to Ravi about
How Ravi thinks
Cost‑effective model training
Focuses on building small language models that cost under $25 to train, yet outperform larger models.
For you: You can explore building efficient models without huge budgets.
Production‑grade robustness
Ensures LLM applications are production‑grade, emphasizing reliability and scalability.
For you: You can learn how to make your AI system ready for real‑world use.
Research‑to‑product focus
Works at the intersection of LLM research and practical deployments, translating papers into usable features.
For you: You can see how cutting‑edge research can be turned into products.
Ask this first
- What are the biggest challenges in building production‑grade RAG systems?
- How did you keep model training costs under $25 while maintaining performance?
- Can you share how you translate LLM research papers into real‑world features?
Ravi's brain
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I am a Founding Engineer #6 at LlamaIndex (Oct 2023 – Jan 2025).