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Blueprints for Value Engineering in Agentic Automation: Turning AI Potential into Enterprise Value

Discover how Value Engineering in Agentic Automation helps enterprises overcome the Agent AI Paradox by shifting from building AI agents to engineering measurable business outcomes.

Oct 29, 2025

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May 7, 2025
Time-Aware Adaptive RAG (TA-ARE)
Explore how Time-Aware Adaptive Retrieval (TA-ARE) enhances Retrieval-Augmented Generation (RAG) by enabling LLMs to decide
Cobus Greyling
Cobus Greyling
Apr 23, 2025
Proxy Fine-Tuning LLMs
Proxy Fine-Tuning LLMs Proxy fine-tuning achieves the results of directly tuning a LLM, but by accessing only its prediction…
Cobus Greyling
Cobus Greyling
Apr 17, 2025
Demonstrate, search, predict (DSP) for LLMs
This study which is just over a year old from Stanford, makes for interesting reading and illustrates how far we have come over as short period of time.
Cobus Greyling
Cobus Greyling
Apr 16, 2025
Disrupting the ordinary: process automation's new era
Discover how agentic AI is transforming process automation, enhancing efficiency, and driving business agility by integrating across systems.
Nathan Schlaffer
Nathan Schlaffer
Apr 14, 2025
T-RAG = RAG + Fine-Tuning + Entity Detection
T-RAG = RAG + Fine-Tuning + Entity Detection- Discover T-RAG, a powerful model that combines RAG, fine-tuning, and entity detection for better AI accuracy.
Cobus Greyling
Cobus Greyling
Apr 10, 2025
Beyond Chain-of-Thought LLM Reasoning
Beyond Chain-of-Thought LLM Reasoning This approach can be implemented on a prompt level and does not require any dedicated frameworks or pre-processing.
Cobus Greyling
Cobus Greyling

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