LandingAI’s Post

I am working on a system that is Hybrid Graph and Vector RAG very much like this https://lnkd.in/ehzkT9mK (I started it before I read the paper but the paper (Blackrock and NVIDIA) was interesting and was helpful in some ways) if anyone is working on these type of systems and want to talk tech and compare notes without any use case detail or information let me know would love to Tango.

How to confuse computer vision algorithm.

Explore how live programming intersects with literate, local-first, and functional programming—and its potential to shape the future of AI software. 🌐 F5's Gilad Bracha looks at how a humanistic approach to computing can preserve individual control in the AI era. 🤖 http://ms.spr.ly/6049lsbl1

For most of computing history: Another layer of abstraction solves all your problems Now: Another LLM call solves all your problems It sounds silly, but it turns out to work surprisingly well: https://lnkd.in/eFyW6FBb

Explore how live programming intersects with literate, local-first, and functional programming—and its potential to shape the future of AI software. 🌐 F5's Gilad Bracha looks at how a humanistic approach to computing can preserve individual control in the AI era. 🤖 http://ms.spr.ly/6045lSOOb

Explore how live programming intersects with literate, local-first, and functional programming—and its potential to shape the future of AI software. 🌐 F5's Gilad Bracha looks at how a humanistic approach to computing can preserve individual control in the AI era. 🤖 http://ms.spr.ly/6043lqij1

Explore how live programming intersects with literate, local-first, and functional programming—and its potential to shape the future of AI software. 🌐 F5's Gilad Bracha looks at how a humanistic approach to computing can preserve individual control in the AI era. 🤖 http://ms.spr.ly/6041lIgd1

I'm happy to share a new workshop we're announcing at the GenML conference - "Generative AI on the go" workshop by Intel. Plus, there's a special discount for reserve duty service members. This unique workshop will help you understand the basic concepts of GenAI - you'll learn how to work with LLMs and RAG, how to generate images with stable diffusion, and even how to create music - all locally on your computer. We'll provide everything - the interactions, code examples, and even the computers. You just need to come and learn. The basic requirement is Python knowledge, so this is a great opportunity for anyone who wants to experience the field and hasn't yet had the chance to play with GenML models. Finally, we're opening registration first to reserve duty service members or their partners with a significant conference discount (you get the workshop and conference for 279 NIS instead of 465 NIS). In the registration form, you'll need to send us your reserve duty service confirmation (3010 or equivalent ops) and we'll approve you. Later, we'll open the workshop to the entire community. Registration is through the conference link: https://lnkd.in/dipVK_B6

The first physical system to learn nonlinear tasks without a traditional computer processor https://buff.ly/3WSS6Ll

So today came across this simple problem on Stack Overflow: "How can I pair socks from a pile efficiently?" Couldn't help but share it here,A very very miniscule statement and very naive sounding problem, albeit, when you read the question completely, and read through the selected answers one by one, you will marvel at how human brain is just so good at translating problems in real world to math, and then back for easier, simpler solutions! My favorite answer was the second on, where the answer digressed that comparing human brain to CPU is an overkill, which I agree. What you think? Find the complete problem here: https://lnkd.in/gW-bJhnu #linkedinlearning #algorithms #datastructures #computersciene