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Paco Xander Nathan
Paco Xander Nathan

3.2K Followers

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Featured Book

Latent Space
Latent Space

Messy flip-the-script cli-fi about AI, animism, national security liberals, overlapping polycrisis, and the strangest of bedfellows.

2023

·
Paco Nathan
Paco Nathan

Stories

Published in

derwen

·Pinned

Natural Language Processing in Python

Practical techniques for preparing text for building knowledge graphs, custom search, content recommenders, and other areas of AI applications… Several years ago, I taught a popular course about NLP in Python, through O’Reilly Media and at various tech conferences. Our field has changed so dramatically, and while this page has…

Machine Learning

4 min read

Natural Language Processing in Python
Natural Language Processing in Python
Machine Learning

4 min read


Published in

Knowledge Technologies

·Pinned

Graph Thinking

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…

Knowledge Graph

6 min read

Graph Thinking
Graph Thinking
Knowledge Graph

6 min read


Published in

Towards Data Science

·Pinned

Visualizing Geospatial Data in Python

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. There are increased needs to understand metrics about geographic regions, to analyze supply…

Python

8 min read

Visualizing Geospatial Data in Python
Visualizing Geospatial Data in Python
Python

8 min read


Published in

derwen

·Pinned

Hylburt-Speys

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. However, this appears to…

Fiction

34 min read

Hylburt-Speys
Hylburt-Speys
Fiction

34 min read


Published in

derwen

·Nov 19

Open The Wound

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…

AI

16 min read

Visual Missives from the Latent Space, 2023–11–18
Visual Missives from the Latent Space, 2023–11–18
AI

16 min read


Published in

derwen

·Nov 12

Graph Levels of Detail

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…

AI

21 min read

Graph Levels of Detail
Graph Levels of Detail
AI

21 min read


Published in

derwen

·Oct 25

Useful Reviews, 2023-10-20

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…

AI

5 min read

Useful Reviews, 2023-10-20
Useful Reviews, 2023-10-20
AI

5 min read


Published in

derwen

·Oct 16

Graph ML meets Language Models

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

4 min read

Graph ML meets Language Models
Graph ML meets Language Models
AI

4 min read


Published in

derwen

·Jun 21

Visual Missives from the Latent Space, 2023-06-20

“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…

AI

8 min read

Visual Missives from the Latent Space, 2023-06-20
Visual Missives from the Latent Space, 2023-06-20
AI

8 min read


Published in

derwen

·Jun 12

Visual Missives from the Latent Space, 2023-06-11

“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

AI

8 min read

Visual Missives from the Latent Space, 2023-06-11
Visual Missives from the Latent Space, 2023-06-11
AI

8 min read

Paco Xander Nathan

Paco Xander Nathan

3.2K Followers

Book Author

evil mad sci, derwen.ai/paco ; lives on an apple orchard in the coastal redwoods; argilla.io board member; https://mastodon.green/@pacoid

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