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

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:

• POMA
• POMA LinkedIn

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