Uploaded October 2025 | Updated September 2026, 2 weeks ago

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🎙️ Future of Data and AI Podcast: Episode with Jerry Liu (CEO & Founder, LlamaIndex)

Does a 64K context window really outperform 16K — or is it just hype?

In this episode, Jerry Liu, CEO and Founder of LlamaIndex, breaks down what larger context windows actually mean for LLM performance. We explore the trade-offs, real-world implications, and when a bigger window isn’t necessarily better.

💡 Key takeaway: Bigger context windows don’t always guarantee better results — it depends on how your model uses the information.

Watch the full episode for a deep dive into context length, retrieval, and efficiency in modern LLMs!

🔗 Visit our podcast page: datasciencedojo.com/podcast
🎧 Watch full episode on YouTube: youtu.be/k15MX6aBOpM