Elevate Labs’ Post

Want to leverage standardized entrypoints, rich data-driven environments, and language-agnostic APIs? In this demo, the Dagger team shows what is coming next for the Dagger experience via Project Zenith https://ow.ly/9vzW50Pr1po

Our Founder, Robert Caulk, is going to present at the Grenoble Data Science Meetup on January 18th, 2024, about how our team is building production-scale retrieval augmented generative applications, using our software flowdapt.ai 😎 . Why did we build flowdapt.ai? To ensure our key priorities were satisfied, including: * 🚲 highly parallelized compute efficiency, * 🤖 automatic resource management, * 🐞 rapid (local) prototyping and debuggability, * 🔌 intuitive cluster-wide data sharing methods, * ⏱ easy scheduling, * 📝 live configurability, and * 🚚 deployment cycle efficiency. It all comes together in our flagship application, asknews.app 🚀 Come learn and grab a beer afterward 🍻 : https://lnkd.in/dZjNMacT

Combination of machine learning and robotics in action. Just collecting more data and with no changes to code, this robot from Tesla is able to learn a new complex task #aiml #computervision #robotics

📣A storytelling framework for software delivery measurement is LIVE https://lnkd.in/eASF48XJ Now that we have the metrics, what are we learning from them? What could we be doing more or less of? And more importantly, how might we communicate the story so that we make the right decision? 🤩 Our team at Tanzu Labs (Karl Meihofer Caleb Singer Andrew Wood and Moni Gmitro) discovered a storytelling framework as a guide to communicate software delivery metrics. The article walks through how we applied the framework to a real world problem. There’s also a Miro template inside the article to help you get started! 👋🏼We hope you give it a try!

Hey #msps if you are curious about data and email migrations and getting done quickly, accurately and easily - check out the demo here with Richard Tubb at Tubblog - The Hub for MSPs and Michael Lawson Movebot Chief Data Mover. On-prem to 30+ Clouds, Cloud to Cloud and Tenant to Tenant. #msppartner #datamigration #emailmigration Dropbox Egnyte Microsoft 365 Google Workspace Citrix Sharefile Backblaze Wasabi Technologies

Get ready to be blown away! At Sigma, our talented design, engineering, and product teams have been burning the midnight oil to redefine the future of data analysis. Circle May 2nd on your calendar because we're about to drop some game-changing features you won't want to miss. Join us for an exhilarating deep dive into how Sigma harnesses the power of AI, empowers you to create cutting-edge data applications, supercharges collaboration with Python, and introduces a host of other exciting advancements. If you're passionate about data, this is the event you absolutely can't afford to miss!

A Few weeks ago we have seen how Zenoh can be used to stream data in and out of a vehicle to feed Autonomous Driving Algorithms. But what if we could define the actual AV dataflow and leverage Zenoh location transparency to run things where it makes more sense, and without needing to think on the correct topic names and connectivity? Here comes Zenoh-Flow to the rescue! With Zenoh-Flow it is possible to describe your application dataflow in a single file and deploy it across multiple nodes, in a completely location transparent manner! If you missed the webinar go and watch it! #Zettlers Julien Loudet #dataflow #zenoh

Just concluded 1st-place in Kaggle with a great team consisting of Geremie Yeo, Gaurav Rawat, Young Min Paik, and Yevhenii Maslov in the PII Data Detection Competition, competing against over 2000 teams. Many thought NER is a simple task, not when you are faced with real world cases. See that Presidio just do not cut the task alone :) Our approach combined post-processing, ensemble techniques, and the training of transformer models like Deberta, Longformer and other models across various architectures, such as multi-dropout and BiLSTM, and knowledge distillation. Solution Write-up: https://lnkd.in/g5rzkiMx We continue to investigate various emerging LLM architectures and found that code pretrained LLMs are great at identifying NER too. Due to time constraints and work commitment, we have yet to integrate that to our solution. But the ensembles done by the team is already strong enough to land 1st. Cheers to the good team effort!

Really enjoyed moderating the fireside chat between Karel (CEO @Luzmo) and julien (co-CTO @Cycle), last week at the Hexa office 🇫🇷 Quick tl;dr on "How to ship weirdly fast" 👇 1/ Reduce scope, not quality. Start with the smallest possible version of a new feature. Something you can ship in under two weeks. 2/ Include engineers early in the process to create buy-in, trust & get tech knowledge early to help scope the work. If you're only using engineers to code, you're not getting half their value. 3/ Use NoCode and third-party tools to quickly build prototypes, before productizing it with engineers. We shipped embedded analytics in under a day using Luzmo and added our own call recorder using Recall.ai More insights coming soon in a follow-up article. Comment "article" and I'll send it your way when it's out. 🙌 Had some great chats after the talk too. Grateful for the friendly and smart product community we have going on here. See you at our next Cycle drink? 🍻

You don't want to miss this week's blog post brought to you by Russ Leikis, software engineer and product support at Ophir. The webinar presented in the blog post will help you understand beam profiling calculations, usage and results and much more! https://bit.ly/46JffCX