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May 15, 2025
Large Impact: The Rise of Small Language Models
Large Impact: The Rise of Small Language Models The growth of products and services related to Large Language Models (LLMs) has been remarkable. And it’s evident that Small Language Models (SLMs) are poised to disrupt this ecosystem.
Cobus Greyling
Cobus Greyling
May 12, 2025
RAG, Data Privacy, Attack Methods & Safe-Prompts
Understand the privacy risks in RAG systems, how data can be attacked, and how to build safe prompts and defenses against sensitive-data leakage.
Cobus Greyling
Cobus Greyling
May 9, 2025
MultiHop-RAG
A recent direction in RAG architecture is establishing wider context via a process of orchestration and chains over multiple documents.
Cobus Greyling
Cobus Greyling
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
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