I repeated my experiment with the Miss Manners benchmark using Clause Sonnet (Clause 3.5 Pro). The results were the best I’ve seen so far.
Continue reading “Miss Manners with Claude Sonnet”Over the past few weeks I’ve been researching, and building a framework that combines the power of Large Language Models for text parsing and transformation with the precision of structured data queries over Knowledge Graphs for explainable data retrieval.
In this fourth article of the series (one, two, three) I will show a generic web interface that helps explain how the LLM is using tools and graph queries to answer a wide variety of structured and unstructured questions.
Continue reading “Knowledge Graphs: RAG is NOT all you need”
Over the past few weeks I’ve been researching, and building a framework that combines the power of Large Language Models for text parsing and transformation with the precision of structured data queries over Knowledge Graphs for explainable data retrieval.
In this third article of the series (one, two) I will show you how to combine structured and unstructured semantic queries, and use LLMs to orchestrate question answering over a knowledge graph.
Continue reading “Knowledge Graphs: Question Answering”
I repeated my experiment with the Miss Manners benchmark using Clause Opus (Clause Pro). The results were better than GPT4, but inferior to Mistral (Large).
Continue reading “Miss Manners with Claude Opus”
Like many of you, I’ve been experimenting with ChatGTP from Open AI. Much of my day job consists of working on, and with, Accord Project Concerto — a data modelling language. It was therefore natural to see whether I could get ChatGPT to assist in defining a data model.
The results were very impressive; ChatGPT is Swiss Army Knife you can apply to many text generation tasks; teaching it by providing example inputs and desired responses.
Continue reading “Defining Data Models using ChatGPT”
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