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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
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
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
Disrupting the ordinary: process automation's new era
Rule-based automation has a ceiling. Agentic AI breaks through it, adapting to exceptions, learning from outcomes, and orchestrating workflows across enterprise systems. See how Kore.ai's AI for Process leads this shift.
Nathan Schlaffer
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