Excellent discussion about the complexities and evolving nature of data storage for manufacturing. The importance of a single source of truth for real time data is clear - namely Unified Namespace (UNS). But the future is even more exciting! AI is rapidly advancing, promising to revolutionize automation. Soon, we'll see custom automation solutions created simply by observing processes, similar to how Tesla's Full Self-Driving (FSD) system was trained with video data from expert drivers. Imagine a team of Optimus robots observing and learning from human operators on the factory floor for a few weeks. They would then analyze the data and produce the smart factory technology to optimize production, eliminating the need for extensive programming. WARP ERP anyone? Thanks David Schultz and Andy German! https://lnkd.in/eJr8Q5Rn
Jeff Rankinen’s Post
More Relevant Posts
-
Store your files easily with resumable uploads using tus protocol and our /tus/store Robot 🤖. Perfect for handling those tricky uploads when the internet's being stubborn: https://lnkd.in/eXzYMJQz #FileUpload #Transloadit
To view or add a comment, sign in
-
Model merging combines weights from multiple customized #LLMs to boost resource use and enhance successful models. Introductory deep dive ➡️ bit.ly/41evCIj Learn how this approach: ✅ increases experimentation efficiency, and ✅ saves costs.
An Introduction to Model Merging for LLMs | NVIDIA Technical Blog
developer.nvidia.com
To view or add a comment, sign in
-
This new o1 feels like they just took 4o, and wrote in its system prompt to use chain-of-thought reasoning, and then called it a new model. Worst part is… due to the model being semi woke, you’re relying on OpenAIs logic to do the thinking. PS. Some Previous prompting techniques will no longer give you a better output but may actually hinder your responses with this model. For example:
To view or add a comment, sign in
-
Downloading RAM? Yeah, that might just be possible with this AI Kernel that directly links with your hardware, pushing the boundaries of system performance and efficiency. https://lnkd.in/ggnc-ZmE
GitHub - Tech-Realm/AI-Kernel
github.com
To view or add a comment, sign in
-
🚀 **Embracing the Future of AI-Driven Automation!** 🚀 As industries across the globe evolve, the role of AI in enhancing operational efficiency, streamlining processes, and driving innovation has never been more critical. I recently came across this thought-provoking video that dives into the power of **AI and automation** to revolutionize how we work and deliver value. 🎥 Watch here: [ https://lnkd.in/gnQG8KFw ] In today’s fast-paced landscape, organizations are under constant pressure to **do more with less**, all while keeping up with rapidly changing technologies. **AI-powered solutions** are answering this call by enabling scalable growth, boosting productivity, and empowering businesses to transform their digital journey. 💼 For leaders in **digital transformation**, this is a must-watch! Whether your goal is to **optimize workflows, accelerate innovation, or gain a competitive edge,** AI and automation are paving the way forward. ✨ Let’s shape the future by embracing the possibilities AI brings to the table. #AI #Automation #DigitalTransformation #Innovation #FutureOfWork #Efficiency #BusinessGrowth #AIForBusiness #IntelligentAutomation #Industry40 #Productivity #TransformativeTech
Introducing Compage - A Universal Auto Code Generation Framework
https://www.youtube.com/
To view or add a comment, sign in
-
for Low code models
Build the Next Era of Agentic Workflows | DataStax
datastax.com
To view or add a comment, sign in
-
Dive into the future of software development with the GenAI for Software Developers series! 📺 Tune in to FREE webinars to explore the transformative impact of AI on the software development landscape: https://msft.it/6046WQqKA. #LearnConnectBuild
Explore cutting-edge models: LLMs, SLMs, and more
https://www.youtube.com/
To view or add a comment, sign in
-
developing ML models is iterative: it starts with an initial design, reconfigure, and train efficiently. hyperparameters, the constants governing training and model topology, are key. hyperparameter tuning is essential to avoid unnecessary parameters & reduce long training times
To view or add a comment, sign in
-
DOP 289: When to Build Your Own vs. Using Off-the-Shelf https://lnkd.in/e9caXSMm
DOP 289: When to Build Your Own vs. Using Off-the-Shelf
devopsparadox.com
To view or add a comment, sign in