About this episode
This episode explores how to select the right large language model for various needs with insights from AI expert Tomáš Burkert.
Ever find yourself wondering which AI model works best for different needs, whether it’s planning your next trip or boosting productivity at work? In this episode of the Globally Speaking Podcast, host Çetin Amirak sits down with Tomáš Burkert, Technical Lead, linguist, and AI expert with TrainAI by RWS, to unpack the art and science of choosing the right large language model (LLM). Tomas shares real-life examples, from using Gemini to plan Amsterdam getaways to tapping Claude Sonnet for smarter coding and explains why the secret to AI success lies in continuous benchmarking and clever prompt engineering. Together, they discuss insights from our TrainAI [LLM Synthetic Data Generation Study](https://www.rws.com/artificial-intelligence/train-ai-data-services/llm-synthetic-data-gen-study/), revealing that no single model tops every task or language. Their key advice? The smartest AI strategy starts with knowing your goals, testing with care, and trusting human expertise to ensure quality, context, and business alignment before automation takes over.
People in this episode
Host: Çetin Amirak
Guest: Tomáš Burkert
Topics covered
- AI models
- large language models
- productivity
- benchmarking
- prompt engineering
- travel planning
Keywords
- AI
- large language model
- productivity
- benchmarking
- prompt engineering
- travel planning
- Gemini
- Claude Sonnet
Mentioned in this episode
Organizations: TrainAI, RWS
Products: Gemini, Claude Sonnet
Books & works: LLM Synthetic Data Generation Study
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