---
title: Cobus Greyling
description: Cobus is Chief Evangelist at Kore.ai, he explores and writes daily about all things at the intersection of AI & language.
---

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- Agent Platform 
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          - [AI Engineering Tools](https://kore.ai/agent-platform/ai-engineering-tools/)
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          - [No-Code & Pro-Code Tools](https://kore.ai/agent-platform/no-code-development-tools/)
          - [Integrations](https://kore.ai/agent-platform/integrations/)
    - AI Insights 
          - [Agentic Continuum](https://kore.ai/beyond-ai-agents-the-rise-of-agentic-x-and-the-future-of-intelligent-automation/)
          - [Intelligent AI Agent Networks](https://kore.ai/the-future-of-enterprise-ai-why-you-need-to-start-thinking-about-agent-networks-today/)
    - Whitepaper 
          - [Beyond AI Islands](https://kore.ai/gtd-bcg-beyond-ai-islands/)
- [Agent Marketplace](https://kore.ai/marketplace/)
- Resources 
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          - [Blog](https://blog.kore.ai/)
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          - [Webinars](https://kore.ai/webinars/)
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    - Introductions 
          - [Generative AI 101](https://kore.ai/generative-ai-101-chapters/?utm_source=website&utm_medium=content&utm_campaign=main-nav)
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[Try for free](https://kore.ai/try-kore-platform-for-free/)

# Kore.ai Technical Blog

One-stop for everything related to AI-first   
experience automation

Search By Topic ChatGPT BankAssist Banking Virtual Assistant HrAssist SearchAssist SmartAssist WorkAssist Virtual Assistant Platform Retail IT Assist

Clear

#### [LLMs Training SLMs](https://blog.kore.ai/cobus-greyling/llms-training-slms-2)

[Cobus Greyling](https://blog.kore.ai/cobus-greyling/author/cobus-greyling)

Microsoft Research shows how they used LLMs to train SLMs without any RLHF…

[Read More](https://blog.kore.ai/cobus-greyling/llms-training-slms-2)

[![](https://blog.kore.ai/hubfs/2025-05-20_07-56-17.jpg)](https://blog.kore.ai/cobus-greyling/llms-training-slms-2)

#### [Large Impact: The Rise of Small Language Models](https://blog.kore.ai/cobus-greyling/large-impact-the-rise-of-small-language-models-1)

[Cobus Greyling](https://blog.kore.ai/cobus-greyling/author/cobus-greyling)

###### The growth of products and services related to Large Language Models (LLMs) has been remarkable. And it’s evident that...

[Read More](https://blog.kore.ai/cobus-greyling/large-impact-the-rise-of-small-language-models-1)

[![](https://blog.kore.ai/hubfs/2025-05-15_08-50-52.png)](https://blog.kore.ai/cobus-greyling/large-impact-the-rise-of-small-language-models-1)

#### [RAG, Data Privacy, Attack Methods & Safe-Prompts](https://blog.kore.ai/cobus-greyling/rag-data-privacy-attack-methods-safe-prompts-1)

[Cobus Greyling](https://blog.kore.ai/cobus-greyling/author/cobus-greyling)

##### A study explored RAG security vulnerabilities and ways in which private data can be accessed via retrieval datasets....

[Read More](https://blog.kore.ai/cobus-greyling/rag-data-privacy-attack-methods-safe-prompts-1)

[![](https://blog.kore.ai/hubfs/2025-05-12_07-26-19%20SDG%20CG.png)](https://blog.kore.ai/cobus-greyling/rag-data-privacy-attack-methods-safe-prompts-1)

#### [MultiHop-RAG](https://blog.kore.ai/cobus-greyling/multihop-rag-1)

[Cobus Greyling](https://blog.kore.ai/cobus-greyling/author/cobus-greyling)

##### This direction in RAG architecture to establish a wider context via a process of orchestration and chains over...

[Read More](https://blog.kore.ai/cobus-greyling/multihop-rag-1)

[![](https://blog.kore.ai/hubfs/2025-05-09_06-38-12.png)](https://blog.kore.ai/cobus-greyling/multihop-rag-1)

#### [Time-Aware Adaptive RAG (TA-ARE)](https://blog.kore.ai/cobus-greyling/time-aware-adaptive-rag-ta-are-1)

[Cobus Greyling](https://blog.kore.ai/cobus-greyling/author/cobus-greyling)

# Understanding Time-Aware Adaptive Retrieval (TA-ARE)

## Introduction

With the advent of Large Language Models (LLMs)...

[Read More](https://blog.kore.ai/cobus-greyling/time-aware-adaptive-rag-ta-are-1)

[![](https://blog.kore.ai/hubfs/taare.png)](https://blog.kore.ai/cobus-greyling/time-aware-adaptive-rag-ta-are-1)

#### [Proxy Fine-Tuning LLMs](https://blog.kore.ai/cobus-greyling/proxy-fine-tuning-llms-1)

[Cobus Greyling](https://blog.kore.ai/cobus-greyling/author/cobus-greyling)

##### Proxy fine-tuning achieves the results of directly tuning a LLM, but by accessing *only its prediction…*

[Read More](https://blog.kore.ai/cobus-greyling/proxy-fine-tuning-llms-1)

[![](https://blog.kore.ai/hubfs/2025-04-23_10-44-33%20SDG.jpg)](https://blog.kore.ai/cobus-greyling/proxy-fine-tuning-llms-1)

#### [Demonstrate, Search, Predict (DSP) for LLMs](https://blog.kore.ai/cobus-greyling/demonstrate-search-predict-dsp-for-llms)

[Cobus Greyling](https://blog.kore.ai/cobus-greyling/author/cobus-greyling)

#### This study which is just over a year old from Stanford, makes for interesting reading and illustrates how far we have...

[Read More](https://blog.kore.ai/cobus-greyling/demonstrate-search-predict-dsp-for-llms)

[![](https://blog.kore.ai/hubfs/2025-04-17_14-50-40%20SDG.jpg)](https://blog.kore.ai/cobus-greyling/demonstrate-search-predict-dsp-for-llms)

#### [T-RAG = RAG + Fine-Tuning + Entity Detection](https://blog.kore.ai/cobus-greyling/t-rag-rag-fine-tuning-entity-detection-1)

[Cobus Greyling](https://blog.kore.ai/cobus-greyling/author/cobus-greyling)

The T-RAG approach is premised on combining RAG architecture with an open-source fine-tuned LLM and an entities tree...

[Read More](https://blog.kore.ai/cobus-greyling/t-rag-rag-fine-tuning-entity-detection-1)

[![](https://blog.kore.ai/hubfs/2025-04-14_10-51-19.jpg)](https://blog.kore.ai/cobus-greyling/t-rag-rag-fine-tuning-entity-detection-1)

#### [Beyond Chain-of-Thought LLM Reasoning](https://blog.kore.ai/cobus-greyling/beyond-chain-of-thought-llm-reasoning-1)

[Cobus Greyling](https://blog.kore.ai/cobus-greyling/author/cobus-greyling)

#### This approach can be implemented on a prompt level and does not require any dedicated frameworks or pre-processing.

[Read More](https://blog.kore.ai/cobus-greyling/beyond-chain-of-thought-llm-reasoning-1)

[![](https://blog.kore.ai/hubfs/2025-04-10_15-50-03.jpg)](https://blog.kore.ai/cobus-greyling/beyond-chain-of-thought-llm-reasoning-1)

#### [Comparing Human, LLM & LLM-RAG Responses](https://blog.kore.ai/cobus-greyling/comparing-human-llm-llm-rag-responses-1)

[Cobus Greyling](https://blog.kore.ai/cobus-greyling/author/cobus-greyling)

##### A fairly recent study, focused on the healthcare & preoperative medicine compared expert human feedback with LLM...

[Read More](https://blog.kore.ai/cobus-greyling/comparing-human-llm-llm-rag-responses-1)

[![](https://blog.kore.ai/hubfs/2025-04-09_12-04-36.jpg)](https://blog.kore.ai/cobus-greyling/comparing-human-llm-llm-rag-responses-1)

1 [2](https://blog.kore.ai/cobus-greyling/page/2) <https://blog.kore.ai/cobus-greyling/page/2>

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