Meta Taxonomy Of Large Language Model Correction & Refinement

Introduction

This study surfaces a very insightful and comprehensive taxonomy for improving LLM output. The taxonomy...

Considering Large Language Model Reasoning Step Length

When using Chain of Thought, what is the optimal number of steps to use?

Chain Of Natural Language Inference (CoNLI)

Hallucination is categorised into subcategories of Context-Free Hallucination, Ungrounded Hallucination &...

Small & Medium-Sized Enterprises Enter The Conversational AI Arena

Introduction

Considering digital innovation, small and medium-sized enterprises (SMEs) should be increasingly embracing...

Large Language Model Hallucination Mitigation Techniques

This recently released study is a comprehensive survey of 32+ mitigation techniques to address hallucination.

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Validating Low-Confidence LLM Generation

The basic approach has a hallucination detection phase and a mitigation phase.

Random Chain-Of-Thought For LLMs & Distilling Self-Evaluation Capability

Here I discuss the five emerging architectural principles for LLM implementations & how curation & enrichment of...

Prompt Pipelines

LLM-based applications can take the form of autonomous agents, prompt chaining or prompt pipelines. These approaches...

Active Prompting with Chain-of-Thought for Large Language Models

By using AI accelerated human annotation this framework removes uncertainty and introduces reliability via a...

Teaching LLMs To Say, “I don’t know”

Instead of stating that it does not know, LLMs hallucinate. Hallucination can best be described as highly plausible,...