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Open weights, real stakes Fine-Tuning an LLM: The Lessons We Learned the Hard WayFine-tuning an LLM looks deceptively simple, but the real challenges often lie beyond the training code. In this talk, I share our experience building Aalap, an open-source LLM for Indian legal tasks. We will look at the choices we made, the experiments that surprised us, and the things that did not work as expected. A practitioner’s account of lessons learned the hard way while fine-tuning a dom… more
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The Fifth Elephant 2026 Winter Edition Crowdsourcing: Disagreement is the data{Submission type - choose one: Talk/session proposal - 30-40 mins} more
I am submitting: To speak
I have a submission for: A talk - 30-40 mins
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Prathamesh Kalamkar
@prathameshkalamkar
Lead Applied Research Scientist at Thomson Reuters. Overall 14+ years of experience in AI/ML in various domains like legal, retail, pharma, finance
- Joined Feb 2026