Kata1yst
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- 6 Following
- 527 Posts
Nah. Derision, public shaming, and ostracism are fundamental to the maintenance of the social contract. How else can we moderate extremists? The denazification of Germany was effective because they didn't shy away from these methods.
I like looking at butts more than heart shapes anyway.
And why they dismantle the systems they're tasked with protecting the moment they can.
Over the years of using Vim both professionally and for my own uses, I've learned to just install LunarVim and only add a handful of packages/overrides. Otherwise I just waste too much time tinkering and not doing the things I need to.
Most debt actually can't be inherited, instead debt collectors get first dibs on inheritance assets until they're made whole or the estate runs out of assets, whichever comes first.
Fair. I always thought of Pennsyl-Tucky was more a state of mind/politics rather than an area, but I'm not a local and haven't been in the area for years so I'm inclined to believe you.
City very much in the heart of Pennsly-tucky.
Yes...? All are except Microsoft, which is why most companies I work with aren't looking that way.
I know several large companies looking to Microsoft, Xen, and Proxmox. Though the smart ones are more interested in the open source solutions to avoid future rug-pulls.
Look into RAG using a vector database, this is exactly what they're for. https://www.linkedin.com/events/buildaragapplicationontheaistac7191489677017649153
Build a RAG Application on the AI Stack of the Future | LinkedIn
Join us for another live coding session and learn how to implement retrieval augmented generation (RAG) globally—powered by the RAG-stack of the future: Quadrant + Seaplane + Vultr. In this event, we are building two globally deployed pipelines that form the basis for any RAG application. The first pipeline consists of a processing pipeline that takes in a PDF or text-based format and turns that knowledge base into vector embeddings stored in a Qdrant vector store. The second pipeline uses the vector embeddings combined with a low-latency LLM (Zephyr-7b) deployed on an edge GPU on the Vultr to answer users' input questions based on the indexed knowledge base. Join us to learn all the ins and outs of building RAG-powered applications, and make sure to stay till the end to claim 30 days of free usage of Seaplane, including LLMs and Vector Store storage! About the hosts Qdrant is the market-leading vector database transforming how your knowledge can be used in modern AI-infused applications Vultr offers a straightforward and affordable cloud infrastructure solution, making it easy for developers to deploy server instances on the edge worldwide. Seaplane is pioneering a new platform for radically simplifying the deployment of AI-infused applications globally. With a few lines of Python, you can deploy your app on region earth.