Cobus Greyling (2)

As-Needed Decomposition & Planning Using Large Language Models — ADaPT

There has been a shift with regard to LLM implementations to decompose tasks and solve each step in an interactive...

Self-Consistency For Chain-Of-Thought Prompting

The paper on Self-Consistency Prompting was published 7 March 2023, as an improvement on Chain-Of-Thought Prompting. At...

The Anatomy Of Chain-Of-Thought Prompting (CoT)

Cobus Greyling

The research on Chain-Of-Thought Prompting (CoT) was published on 10 Jan 2023, and since then, there has been a...

Contrastive Chain-Of-Thought Prompting

Cobus Greyling

Contrastive Chain-of-Thought Prompting (CCoT) uses both positive & negative demonstrations to improve LLM reasoning.

OpenAI Structured JSON Output With Adherence

Cobus Greyling

In the past, when using OpenAI’s JSON mode there was no guarantee that the model output will match the specified and...

The Chain-Of-X Phenomenon In LLM Prompting

Cobus Greyling

In a recent post, I discussed the seemingly emergent abilities of LLMs. A new study argues that Emergent Abilities are...

Chain-Of-Note (CoN) Retrieval For LLMs

Cobus Greyling

Chain-of-Note (CoN) is aimed at improving RAG implementations by solving for noisy data, irrelevant documents and out...

Knowledge-Driven Chain-of-Thought (KD-CoT)

Cobus Greyling

The aim of KD-CoT is to introduce faithful reasoning to LLM based Chain-of-Thought reasoning for instances where...

LLM Hallucination Index

Cobus Greyling

Galileo released an LLM Hallucination Index, which makes for very interesting reading. The charts shared considers a...

Are Emergent Abilities In LLMs Inherent Or Merely In-Context Learning?

Cobus Greyling

Kore.ai Technical Blog

As-Needed Decomposition & Planning Using Large Language Models — ADaPT

Self-Consistency For Chain-Of-Thought Prompting

The Anatomy Of Chain-Of-Thought Prompting (CoT)

Contrastive Chain-Of-Thought Prompting

OpenAI Structured JSON Output With Adherence

The Chain-Of-X Phenomenon In LLM Prompting

Chain-Of-Note (CoN) Retrieval For LLMs

Chain-of-Note (CoN) is aimed at improving RAG implementations by solving for noisy data, irrelevant documents and out...

Knowledge-Driven Chain-of-Thought (KD-CoT)

The aim of KD-CoT is to introduce faithful reasoning to LLM based Chain-of-Thought reasoning for instances where...

LLM Hallucination Index

Galileo released an LLM Hallucination Index, which makes for very interesting reading. The charts shared considers a...

Are Emergent Abilities In LLMs Inherent Or Merely In-Context Learning?

What are Emergent Abilities? Emergent Abilities is when LLMs demonstrate exceptional performance across diverse tasks...

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