Prompt Engineering Services in Austria

FAQs

• + Q: What is prompt engineering and why does it matter?

  Answer: Prompt engineering is the practice of designing and optimising inputs to LLMs to control their output, ensure reliability, and align results with your business objectives. It transforms AI from an experimental technology into a production-grade tool that delivers consistent, measurable value.

• + Q: Which LLM models do you support?

  Answer: We support major LLMs including GPT-4, Claude 3, Gemini, Mistral, and open-source models like LLaMA. We also help with multi-model orchestration and fallback strategies to ensure reliability and cost optimisation.

• + Q: Can you integrate prompts into our existing product?

  Answer: Yes. We specialise in embedding LLM capabilities into web, mobile, and internal tools using modern frameworks and production APIs — ensuring seamless integration with your existing architecture.

• + Q: Do you offer embedded prompt engineers for our team?

  Answer: Absolutely. We offer team augmentation services, embedding our prompt engineers directly into your product or ML teams for sustained impact and knowledge transfer.

• + Q: What is the difference between prompting and fine-tuning?

  Answer: Prompting uses existing models to solve problems via well-structured inputs, while fine-tuning customises a model's internal behaviour using training data. We advise on when to use each approach — or a combination of both — based on your use case, budget, and performance requirements.