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Sep 5, 2025

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May 20, 2025
LLMs Training SLMs
A recent paper from Microsoft Research shows how they used LLMs to train SLMs without any RLHF…
Cobus Greyling
Cobus Greyling
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
RAG, Data Privacy, Attack Methods & Safe-Prompts A recent study explored RAG security vulnerabilities and ways in which private data can be accessed via retrieval datasets. Defences & safe prompt engineering examples are also discussed.
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

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