Finetuning LLM for Language Translation

Hosted by Manisha Arora and Siddarth R

Fri, Jun 6, 2025

3:00 PM UTC (30 minutes)

Virtual (Zoom)

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374 students

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AI-ML Projects for Data Professionals
Manisha Arora and Siddarth Ranganathan
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What you'll learn

Fine-Tuning OpenAI's LLM

Learn the step-by-step process of customizing LLM to handle specialized use cases in language translation

Best Practices for Efficient and Cost-Effective Fine-Tuning

Discover how to apply techniques like LoRA and PEFT to reduce training costs & speed up development

How to Build High-Quality Datasets and Evaluate Translation

Understand what makes a dataset effective for translation fine-tuning and explore the most reliable evaluation metrics

Why this topic matters

While general translation models have come a long way, they often fail in high-stakes, domain-specific settings where mistranslations can have serious consequences. Fine-tuning offers a way to bridge that gap, but doing it wrong can waste time, resources, and lead to misleading results. This webinar equips you with the knowledge to fine-tune responsibly and efficiently

You'll learn from

Manisha Arora

Data Science Lead, Google & Founder, PrepVector

I am a seasoned Data Science professional with 10+ years of experience leading data science teams and driving business growth through data-driven decision making. I am passionate about democratizing data science and enabling others level up in their careers. I found PrepVector to enable aspiring professionals to excel in their data science careers.

Siddarth R

Director of Data Science, Microsoft & Mentor, PrepVector

I am the Director of Data Science at Microsoft. I have 20 years industry experience across Data & Product. In my current role, I am responsible for driving the growth of Azure through AI and measurement. I love to empower others through knowledge sharing and community building. I mentor data professionals to get to the next step in their careers.

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