Your guide to selecting the right LLM
Update: 2025-10-21
Description
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.
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.
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