How an Engineer and Founder Builds Energy-Efficient AI for Smarter Results

Season 1 Episode 22

In this episode of How I AI, Dr. Alex Kihm, founder of POMA, explains a practical way to make AI more accurate while using less compute and energy. We talk about his path from early plug-in hybrid work in Germany to building tools that reduce waste and deliver more reliable results in everyday workflows.

🔥 Topics We Cover:

How thoughtful data prep and retrieval improve answer quality with fewer tokens
Why “made-up answers” happen and simple ways to curb them
When smaller models can beat bigger ones in practice
Where energy-aware design lowers costs for teams

Tools and Platforms Mentioned:

Tools we mention include frameworks like POMA’s approach, plus platforms such as LlamaIndex, LangChain, Mistral, ChatGPT, and Claude

Connect with Dr. Alex Kihm & Learn More:

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Published on 3 months, 3 weeks ago

Podcast Episode Details

How an Engineer and Founder Builds Energy-Efficient AI for Smarter Results