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Building a foundation where your AI learns from your data, adapts to your needs, and performs consistently in the real world.
Process Modelling can replace manual trials, enabling precise, data-driven input optimisation.
Automated forecasting solution streamlines energy balancing across multiple building types.
Episode 3: Completes the RAG validation framework with human and LLM-based evaluation.
Episode 2: Four methods for building RAG ground truth datasets, from manual to synthetic.
Episode 1: Lays the foundation for scalable, reliable RAG output validation.
How AI reshapes the process industry through real-world impact and scalable solutions.
Explains the EU AI Act’s business impact and how Faktion helps clients navigate compliance.
From Chatlayer to GPT: how LLMs reshape chatbot design with control and scalability in mind.
Part 3 shows how Prompt Flow uses APE to fine-tune prompts and boost RAG response quality.
Part 2 covers how Prompt Flow simplifies RAG system design, deployment, and scalability.
Part 1 explores prompt flow’s architecture and entities for structured LLM development in Azure.
