Cobus Greyling
Author

Cobus Greyling

Cobus Greyling is passionate about exploring the intersection of AI and language. From Language Models, AI Agents to Agentic Applications, Development Frameworks & Data-Centric Productivity Tools, I share insights and ideas on how these technologies are shaping the future.

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Published Jan 16, 2026
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Parallel Agent Processing

Parallel Agent Processing
Published Jun 12, 2025
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AI Agents, RAG, and Agentic Retrieval Techniques for Enterprise-Grade Search

AI Agents, RAG, and Agentic Retrieval Techniques for Enterprise-Grade Search
Published Jun 25, 2025
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How MCP enables smarter, adaptive AI Agent integration

How MCP enables smarter, adaptive AI Agent integration
Published Jun 17, 2025
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Agentic RAG is the next step in smarter Enterprise AI

Agentic RAG is the next step in smarter Enterprise AI
Published May 09, 2024
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Putting AI To Work

Putting AI To Work
Published May 10, 2024
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The Case For An AI Productivity Suite

The Case For An AI Productivity Suite
Published May 14, 2024
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Rapid Development Of Intelligent Generative AI APIs

Rapid Development Of Intelligent Generative AI APIs
Published May 17, 2024
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The Large Language Model Landscape — Version 5

The Large Language Model Landscape — Version 5
Published May 22, 2024
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Three considerations for private open-source LLM instances

Three considerations for private open-source LLM instances
Published May 21, 2024
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A short history of chatbots

A short history of chatbots
Published May 28, 2024
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TinyLlama is an open-source small language model

TinyLlama is an open-source small language model
Published Jun 04, 2024
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Five Levels Of AI Agents

Five Levels Of AI Agents
Published Jun 06, 2024
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Data Design For Fine-Tuning LLM Long Context Windows

Data Design For Fine-Tuning LLM Long Context Windows
Published Jun 03, 2024
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Comparing LLM Agents to Chains: Differences, Advantages & Disadvantages

Comparing LLM Agents to Chains: Differences, Advantages & Disadvantages
Published Jun 14, 2024
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Teaching LLMs To Say, “I don’t know”

Teaching LLMs To Say, “I don’t know”
Published Jun 10, 2024
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LLM Performance Over Time & LLM Task Contamination

LLM Performance Over Time & LLM Task Contamination
Published Jun 12, 2024
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Improving Text Embeddings with LLM Generated Synthetic Data

Improving Text Embeddings with LLM Generated Synthetic Data
Published Jun 16, 2024
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Active Prompting with Chain-of-Thought for Large Language Models

Active Prompting with Chain-of-Thought for Large Language Models
Published Jun 19, 2024
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Prompt Pipelines

Prompt Pipelines
Published Jul 01, 2024
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Small & Medium-Sized Enterprises Enter The Conversational AI Arena

Small & Medium-Sized Enterprises Enter The Conversational AI Arena
Published Jul 03, 2024
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Meta Taxonomy Of Large Language Model Correction & Refinement

Meta Taxonomy Of Large Language Model Correction & Refinement
Published Jul 07, 2024
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Large Language Model (LLM) SWOT Analysis

Large Language Model (LLM) SWOT Analysis
Published Jul 04, 2024
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Retrieval-Augmented Generation (RAG) vs LLM Fine-Tuning

Retrieval-Augmented Generation (RAG) vs LLM Fine-Tuning
Published Jul 10, 2024
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Visualise & Discover RAG Data

Visualise & Discover RAG Data
Published Jul 12, 2024
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The new corner store is digital

The new corner store is digital
Published Jul 12, 2024
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Streamlined AI-assisted Conversational UI build experience unveiled: XO Express

Streamlined AI-assisted Conversational UI build experience unveiled: XO Express
Published Jul 12, 2024
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Introducing XO Contact Center AI Express: accelerated AI integration for businesses of any size

Introducing XO Contact Center AI Express: accelerated AI integration for businesses of any size
Published Jul 12, 2024
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Automation and orchestration with the XO Platform

Automation and orchestration with the XO Platform
Published Jul 12, 2024
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Introducing effortless no-code Conversational UI onboarding

Introducing effortless no-code Conversational UI onboarding
Published Jul 12, 2024
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The corner store can have a chatbot

The corner store can have a chatbot
Published Jul 12, 2024
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Empowering small to medium-sized businesses to design, build and launch their own Conversational AI applications

Empowering small to medium-sized businesses to design, build and launch their own Conversational AI applications
Published Jul 12, 2024
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Making Conversational AI accessible for small and medium organisations

Making Conversational AI accessible for small and medium organisations
Published Jul 26, 2024
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No-code deployment and orchestration of open-sourced foundation models

No-code deployment and orchestration of open-sourced foundation models
Published Jul 22, 2024
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Prompt-RAG: Vector Embedding Free Retrieval-Augmented Generation

Prompt-RAG: Vector Embedding Free Retrieval-Augmented Generation
Published Aug 12, 2024
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Corrective RAG: Corrective Retrieval-Augmented Generation for More Reliable RAG Systems

Corrective RAG: Corrective Retrieval-Augmented Generation for More Reliable RAG Systems
Published Aug 14, 2024
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Adding Noise Improves RAG Performance

Adding Noise Improves RAG Performance
Published Aug 29, 2024
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The Case For Small Language Models

The Case For Small Language Models
Published Aug 30, 2024
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The Shifting Vocabulary of AI

The Shifting Vocabulary of AI
Published Sep 05, 2024
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Fine-Tuning or RAG?

Fine-Tuning or RAG?
Published Sep 19, 2024
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LLM Drift, Prompt Drift & Cascading

LLM Drift, Prompt Drift & Cascading
Published Sep 23, 2024
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The Evolution of Grounding & Planning In AI Agents

The Evolution of Grounding & Planning In AI Agents
Published Sep 20, 2024
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The Shift From Large Language Models to Smaller, Vision-Enhanced Models & The Rise of AI Agents— Version 6

The Shift From Large Language Models to Smaller, Vision-Enhanced Models & The Rise of AI Agents— Version 6
Published Sep 26, 2024
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Please Stop Saying Long Context Windows Will Replace RAG

Please Stop Saying Long Context Windows Will Replace RAG
Published Oct 14, 2024
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Exploring the Purpose, Power & Potential of Small Language Models (SLMs)

Exploring the Purpose, Power & Potential of Small Language Models (SLMs)
Published Oct 04, 2024
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Self-Reflective Retrieval-Augmented Generation (SELF-RAG)

Self-Reflective Retrieval-Augmented Generation (SELF-RAG)
Published Sep 28, 2024
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Prompt-RAG

Prompt-RAG
Published Oct 15, 2024
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Performing Multiple LLM Calls & Voting On The Best Result Are Subject To Scaling Laws

Performing Multiple LLM Calls & Voting On The Best Result Are Subject To Scaling Laws
Published Oct 21, 2024
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RAT — Retrieval Augmented Thoughts

RAT — Retrieval Augmented Thoughts
Published Oct 16, 2024
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Chain-of-Instructions (CoI) Fine-Tuning

Chain-of-Instructions (CoI) Fine-Tuning
Published Oct 27, 2024
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DRAGIN: Dynamic RAG Based On Real-Time Information Needs Of LLMs

DRAGIN: Dynamic RAG Based On Real-Time Information Needs Of LLMs
Published Oct 24, 2024
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A Study Comparing RAG & Fine-Tuning For Knowledge Base Use-Cases

A Study Comparing RAG & Fine-Tuning For Knowledge Base Use-Cases
Published Oct 30, 2024
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Retrieval Augmented Fine-Tuning (RAFT)

Retrieval Augmented Fine-Tuning (RAFT)
Published Oct 30, 2024
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Large Language Models Excel At In-Context Learning (ICL)

Large Language Models Excel At In-Context Learning (ICL)
Published Nov 11, 2024
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FIT-RAG

FIT-RAG
Published Nov 01, 2024
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Adaptive-RAG

Adaptive-RAG
Published Nov 15, 2024
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FaaF: Facts As A Function For Evaluating RAG

FaaF: Facts As A Function For Evaluating RAG
Published Nov 18, 2024
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Agentic Search-Augmented Factuality Evaluator (SAFE) For LLMs

Agentic Search-Augmented Factuality Evaluator (SAFE) For LLMs
Published Nov 03, 2024
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Challenges In Adopting Retrieval-Augmented Generation Solutions

Challenges In Adopting Retrieval-Augmented Generation Solutions
Published Nov 14, 2024
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Disambiguation: Dynamic Context For Effective RAG Question Suggestions

Disambiguation: Dynamic Context For Effective RAG Question Suggestions
Published Nov 21, 2024
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Data Design For Fine-Tuning To Improve Small Language Model Behaviour

Data Design For Fine-Tuning To Improve Small Language Model Behaviour
Published Nov 21, 2024
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Improve Conversational UIs Using Social Intelligence

Improve Conversational UIs Using Social Intelligence
Published Nov 25, 2024
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Can Minor Document Typos Comprehensively Disrupt RAG Retriever & Reader Components?

Can Minor Document Typos Comprehensively Disrupt RAG Retriever & Reader Components?
Published Jan 06, 2025
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DialogGPT

DialogGPT
Published Jan 07, 2025
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How Should Large Language Models Be Evaluated?

How Should Large Language Models Be Evaluated?
Published Jan 08, 2025
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A New Prompt Technique From DeepMind Called Optimisation by PROmpting (OPRO)

A New Prompt Technique From DeepMind Called Optimisation by PROmpting (OPRO)
Published Jan 10, 2025
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LLM Alignment, Hallucination & Misinformation

LLM Alignment, Hallucination & Misinformation
Published Feb 10, 2025
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As-Needed Decomposition & Planning Using Large Language Models — ADaPT

As-Needed Decomposition & Planning Using Large Language Models — ADaPT
Published Jan 13, 2025
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Distilling the Evaluation of LLMs: Understanding the What, Where, and How

Distilling the Evaluation of LLMs: Understanding the What, Where, and How
Published Jan 17, 2025
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Chain of Empathy Prompting (CoE)

Chain of Empathy Prompting (CoE)
Published Jan 15, 2025
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What Are LLMs Good At & When Can LLMs Fail?

What Are LLMs Good At & When Can LLMs Fail?
Published Jan 20, 2025
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Are Emergent Abilities In LLMs Inherent Or Merely In-Context Learning?

Are Emergent Abilities In LLMs Inherent Or Merely In-Context Learning?
Published Jan 22, 2025
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LLM Hallucination Index

LLM Hallucination Index
Published Jan 24, 2025
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Knowledge-Driven Chain-of-Thought (KD-CoT)

Knowledge-Driven Chain-of-Thought (KD-CoT)
Published Jan 27, 2025
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Chain-Of-Note (CoN) Retrieval For LLMs

Chain-Of-Note (CoN) Retrieval For LLMs
Published Jan 31, 2025
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Open ai structured JSON output with adherence

Open ai structured JSON output with adherence
Published Jan 30, 2025
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The Chain-Of-X Phenomenon In LLM Prompting

The Chain-Of-X Phenomenon In LLM Prompting
Published Feb 05, 2025
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The Anatomy Of Chain-Of-Thought Prompting (CoT)

The Anatomy Of Chain-Of-Thought Prompting (CoT)
Published Feb 03, 2025
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Contrastive Chain-Of-Thought Prompting

Contrastive Chain-Of-Thought Prompting
Published Feb 07, 2025
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Self-Consistency For Chain-Of-Thought Prompting

Self-Consistency For Chain-Of-Thought Prompting
Published Feb 12, 2025
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Generative AI Trends to Watch in 2025 & Beyond

Generative AI Trends to Watch in 2025 & Beyond
Published Feb 14, 2025
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Data Delivery To Large Language Models

Data Delivery To Large Language Models
Published Feb 16, 2025
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Large Language Model Programs

Large Language Model Programs
Published Feb 18, 2025
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What Is Multi-Task Language Understanding or MMLU?

What Is Multi-Task Language Understanding or MMLU?
Published Feb 20, 2025
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Random Chain-Of-Thought For LLMs, Distilling Self-Evaluation Capability

Random Chain-Of-Thought For LLMs, Distilling Self-Evaluation Capability
Published Feb 25, 2025
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Large Language Model Hallucination Mitigation Techniques

Large Language Model Hallucination Mitigation Techniques
Published Mar 03, 2025
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Validating Low-Confidence LLM Generation

Validating Low-Confidence LLM Generation
Published Mar 14, 2025
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Considering Large Language Model Reasoning Step Length

Considering Large Language Model Reasoning Step Length
Published Mar 12, 2025
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Chain Of Natural Language Inference (CoNLI)

Chain Of Natural Language Inference (CoNLI)
Published Mar 17, 2025
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Meta Taxonomy Of LLM Correction & Refinement

Meta Taxonomy Of LLM Correction & Refinement
Published Mar 24, 2025
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Understanding LLM User Experience & Expectation

Understanding LLM User Experience & Expectation
Published Mar 27, 2025
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Concise Chain-of-Thought (CCoT) Prompting

Concise Chain-of-Thought (CCoT) Prompting
Published Mar 31, 2025
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UniMS-RAG: Unified Multi-Source RAG for Personalised Dialogue

UniMS-RAG: Unified Multi-Source RAG for Personalised Dialogue
Published Mar 28, 2025
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Chain-of-Symbol Prompting (CoS) For Large Language Models

Chain-of-Symbol Prompting (CoS) For Large Language Models
Published Apr 07, 2025
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A benchmark for verifying chain-of-thought

A benchmark for verifying chain-of-thought
Published Apr 02, 2025
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Seven RAG Engineering Failure Points

Seven RAG Engineering Failure Points
Published Apr 08, 2025
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Craft successful conversational user interfaces: align user intent with developed intent

Craft successful conversational user interfaces: align user intent with developed intent
Published Apr 09, 2025
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Comparing Human, LLM & LLM-RAG Responses

Comparing Human, LLM & LLM-RAG Responses
Published Apr 10, 2025
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Beyond Chain-of-Thought LLM Reasoning

Beyond Chain-of-Thought LLM Reasoning
Published Apr 14, 2025
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T-RAG = RAG + Fine-Tuning + Entity Detection

T-RAG = RAG + Fine-Tuning + Entity Detection
Published Apr 17, 2025
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Demonstrate, search, predict (DSP) for LLMs

Demonstrate, search, predict (DSP) for LLMs