Richard Hackathorn @hackathorn
PhD in business analytics. Ensuring that Deep Learning (AI) systems are manageable and responsible at scale, while "wandering in latent space". linkedin.com/in/hackathorn Boulder, Colorado USA Joined July 2007-
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Check out my latest article: Decision Support to Organizational Semantics... summarizes a journal paper on research issues for AI-assisted decision support in organizations. linkedin.com/pulse/decision… via @LinkedIn
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Had fun with ChatGPT4 analyzing MNIST images. It FAILED to recognize images as 5-5-8, guessing 5-3-2. Did great on explaining overall analysis. "Image 3 is "2" b/c has a loop at base, which is not common in typical "2"s, and has straight slanting line descending from top loop."
Best column for highly-current substantive technical coverage of LLMs. Excellent insights into LLaMA2. If you understand this column's implications, you are riding the #AI wave crest... Ahead of AI #11: New Foundation Models, by @rasbt magazine.sebastianraschka.com/p/ahead-of-ai-…
Fascinating #AI startups... Check out #TxtAI, an "all-in-one embeddings database" wrapping vector-indexing with useful services. Nice repo/docs with new Medium channel. Now, how to make hype-free money? github.com/neuml/txtai medium.com/neuml/introduc…
IMPRESSIVE!!! If you really want to know the currently accepted facts (and its many mysteries) for the beginning and end of our Cosmos... I just backed ENCYCLOPAEDIA COSMOLOGICA (RELAUNCHED) on @Kickstarter kickstarter.com/projects/cosmo…
VERY INFORMATIVE vis of social/political/economic impact of the Internet over 3 decades. Top 10 website. Note scale! Starts Jan-1993 with 20M views for world pop of 5.5B. Ends 29 years later with 80B views - 4000x usage with 49% pop growth. Wikipedia! ...start in Dec 2005.
VERY INFORMATIVE vis of social/political/economic impact of the Internet over 3 decades. Top 10 website. Note scale! Starts Jan-1993 with 20M views for world pop of 5.5B. Ends 29 years later with 80B views - 4000x usage with 49% pop growth. Wikipedia! ...start in Dec 2005.
Richard Hackathorn retweeted
@hmason Simple (but fascinating) question! Obvious answer is your (cosine-sim) app for your vector database. Harder answer is how you understand structural relationships (manifolds?) among object embeddings, especially within local neighborhoods. Smashing 1000s dim into 2? 👎
Noted by #TheSequence, this #BAIR paper gives math insights into #SSL training behavior based on firm #PCA concepts. Pay attention to those eigenvalues! It's the secret sauce for LLMs. On Stepwise Nature of Self-Supervised Learning bair.berkeley.edu/blog/2023/07/1… gitlab.com/generally-inte…
Excellent ...for those (like me) who have no clue how to drink from the arXiv fire-hose nor the context to judge importance. YES, all the #LLM summaries are 3 (three) sentences! AI Research Highlights In 3 Sentences Or Less (June -July 2023), by @rasbt open.substack.com/pub/sebastianr…
Photosynthesis is 100% efficient! Amazing! But why? That's not 'natural' or it is? Ethan Siegel of @StartsWithABang has a simple (?) explanation of recent research. One key is: DISORDER (as is natural in biological systems) is more efficient than ORDER. patreon.com/startswithaban…
Struggling with AI #promptengineering? Great resource at promptingguide.ai with GitHub at github.com/dair-ai/Prompt…. Plus there is regular 2-wk cohort course by Elvis Saravia, co-founder of DAIR.AI for $800 at Maven. maven.com/dair-ai/prompt… ...such a deal 😎
Interesting... Colab has gone AI with its copilot. WOW
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