A kind of cognitive framework called graph thinking is circulating through the KGC community. So let’s explore this notion. Also, let’s suspend any discussion about technology, for the moment, and talk about cognition. Among the people who use knowledge graphs effectively, how do they conceptualize the problem? Ostensibly, when we…

Open source tools and techniques for visualizing data on custom maps — Throughout the global pandemic, many people have spent lots of time viewing maps that visualize data. Important data. People who work in data science are probably seeing increased needs to work with geospatial data, especially for visualizations. …

Posting for a friend who doesn’t want to be linked directly, for obvious reasons. Part interview, part summary analysis. While I cannot verify details, the story had drawn me in. Not that I’m saying it’s a good direction, nor that I agree with the approach necessarily. …

I predicted Sam Altman’s fall. Here are the deets: AI comes in two flavors, “Type 1” and “Type 2”, and the trade-off is science versus fraud To be clear, I’m under NDA with multiple firms mentioned here, some of the largest are our customers, and therefore I’ll be careful to…

Graph-based data is ubiquitous in enterprise, across the industry verticals, and increasingly needed for machine learning use cases. Classic examples include: anti-fraud in Finance, supply network optimization in Manufacturing, route optimization in Transportation, drug discovery in Pharma, and so on. Graph technologies are available, though not quite as widely used…

Overviews of recent news about Useful Sensors. — In late September, Useful Sensors https://usefulsensors.com/ launched the “AI in a Box” which you can now purchase on CrowdSupply https://www.crowdsupply.com/useful-sensors/ai-in-a-box Here’s a video where Laura Jefferson interacts with the “Chatty” application on the device: https://videopress.com/v/qqz8h6FY George Anadiotis from Linked Data Orchestration recently interviewed Useful Sensors co-founder Pete Warden about “AI…

Where does current work on graph technologies intersect with large language models, for building AI apps? — A précis about where and how Graph ML meets Language Models, for AI applicastions in industry. The following links to articles, open source code repositories, tutorials, videos, etc., summarize about the emerging intersection and overlap between the use of: knowledge graphs / graph machine learning

“AI 100” — TL;DR: Congrats to the Argilla.io team ranking today in the 2023 CB Insights AI 100; also, join our LLM CrowdEval challenge: https://argilla.io/blog/argilla-cbinsights–100-ai-companies-nlp-annotation/ https://twitter.com/argilla_io/status/1670757399123177474 Argilla.io ranked in the “AI 100” selected by CBInsights as “The most promising artificial intelligence startups of 2023.” This was based on a pool of over…

“Show, Don’t Tell.” — TL;DR: Argilla 1.9.0 provides fine-tuning for open source language models, with your own data, leveraging your own experts through human-in-the-loop features; plus multi-aspect feedback for multi-modal content in both generative and predictive use cases. Argilla also recently passed 2000 stars on GitHub! https://argilla.io/blog/argilla-for-llms/ https://docs.argilla.io/en/latest/guides/llms/practical_guides/practical_guides.html