Search is Dead, Long Live Search!
This article is more about building better LLM and GPT-like applications, than search. Yet most people use GPT as a substitute for search. Indeed, OpenAI… Read More »Search is Dead, Long Live Search!
Home » Technical Topics » Knowledge Engineering
Knowledge Engineering
Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
Why and How I Created my Own LLM from Scratch
Without using any API or any Python library, yet delivering better results. You would think this is a massive undertaking. However, it took me less… Read More »Why and How I Created my Own LLM from Scratch
The Best Kept Secret About LLMs
GPT can be a great tool to write or summarize articles, and as a chatbot. But one of the most popular uses is to find… Read More »The Best Kept Secret About LLMs
Data management implications of the AI Act
Members of the European Parliament and the Council reached provisional agreement on the Artificial Intelligence Act on December 9th, 2023 after years of debate and… Read More »Data management implications of the AI Act
Towards Better GenAI: 5 Major Issues, and How to Fix Them
After playing with GPT for some time, testing GenAI vendor solutions, designing my own, and reading feedback from other users, I uncovered a number of… Read More »Towards Better GenAI: 5 Major Issues, and How to Fix Them
Data modeling techniques in modern data warehouse
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for… Read More »Data modeling techniques in modern data warehouse
One Big Graph and the Interorganization
I’m using the term web3 in a hopeful way with an expansive definition in mind, one that’s not familiar to most people. When I mention web3, it’d be good if you could put aside the associations with cryptocurrency, blockchain, and an endless, speculation-driven hype cycle for a moment.
The Four Principles of Semantic Parsing
If a parser exists for identifying components within a block of text (a sequence of characters), then that text is structured.
Allegrograph: From Lisp to SHACL
This is an interview with Dr. Jans Aasman, CEO of Franz, Inc. and designer of the Allegrograph knowledge graph engine. In this interview, we cover everything from the role of Lisp (and Lispers), the versatility of RDF hypergraphs, the value of Allegrograph, and the future of artificial intelligence, machine learning and inferential logic in the graph space.
Semantic Graph as the Next Step for Web Data Architecture
Webby data architects and modelers–the spider-like ones who use intelligent graph design and a bit of glue or another sticky substance to achieve their objectives–are focused on making joinery much more efficient and scaling a lot more useful with the help of more contextualized data.