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I am delighted to share that I recently published a blog on developers.redhat.com detailing the management of deep learning models using OpenVINO Model Server. This article dives into how OpenVINO Model Server streamlines the deployment and serving of machine learning models, offering significant performance improvements and scalability. By leveraging this technology, developers can efficiently manage their AI workloads, ensuring robust and optimized model serving in various production environments. Check out the full blog post to explore the technical insights and practical applications of OpenVINO Model Server in enhancing deep learning model management: Manage Deep Learning Models with OpenVINO Model Server(https://lnkd.in/gZ6SCPYi) #openshiftai #redhat #OpenVino

Level up! Just completed an Introduction to AI/ML Toolkits with Kubeflow course from The Linux Foundation. Excited to dive deeper into the world of AI/ML. #MLOPS #AI #ML #Kubeflow #kubernetes

✨ Don’t miss next week’s webinar: Demystifying Kubernetes Observability with Generative AI and LLMs ✨ Logz.io Co-Founder and CTO Asaf Yigal teams up with The Linux Foundation to discuss: 👉 How ChatGPT says we can use LLM in observability today 👉 The limitations of LLM 👉 How LLM can be used to simplify the user experience of complex observability solutions 👉 How to use LLM to help with mundane tasks that are error prone 👉 What’s next - Interactive chat with your data https://lnkd.in/eMeQpzSF #ai #observability #llm #kubernetes

Join us for this webinar on AI for insights from an Enterprise IT perspective 🌐 Featuring our Chief Architect Andreas Spanner 💡

How is LF Networking embracing #AI for Networking (and #Networking for AI)? Read Arpit Joshipura's recent blog to see what's happening within LFN, w real CSPs & devs collaborating via the new "LFN AI Task Force." ➡ https://hubs.la/Q02lTKYK0 The Linux Foundation LF AI & Data Foundation Open Programmable Infrastructure Project #onesummit #OSS #OPIProject #opensource #opennetworking

At Rakuten, we are constantly stimulated to learn more and advance ourselves. I have a passion for learning and applying new knowledge to my daily activities. This month, Rakuten has launched a campaign to enhance our understanding of AI through PluralSight. I've already completed several courses, and it's incredible to see the advancements in AI. One of these courses is "Linux Troubleshooting Using AI," which covers topics such as: - Understanding GPT tokenization and creating your own ChatGPT instance using Azure. - Utilizing AI for debugging issues in Linux and other applications. - Integrating AI into the development process with Copilot. Additionally, this month saw the release of ChatGPT 4.0-o, which includes outstanding features such as real time translation, voice nuance and even interpretation of images and videos. Every version we see the boundaries of AI going even further. Did you learn anything interesting today? How do you feel about this ? #AIupskillchallenge #Pluralsight

Breakthru announcements at #MSBuild 1. Copilot + Pc an exciting innovation to bring in AI to personal computing! 2. Phi Silica with Windows copilot libraryand on device models for PC 3. GPT 4o recently announced now in general avalability looks super promising with ability to take images in prompts… and really somethings humans need … the ability to ‘interrupt’ 🙂 4. A huge wider availability of open source models many more from Hugging Face 5. Huge progress on SLMs with Phi 3 expanded capabilities 6. Intelligent AZURE databases promises to being AI into every db tech 7. Github copilot workspaces for team work on planning coding. 8. Github copilot extensions will enable github copilot to connect to third party ecosystems - demoed with github copilot for azure. 9. AI Security Content Safety - custom categories, prompt shields and groundness detection. Many many more !

SemanticKernel – 📎Chat Service demo running Llama2 LLM locally in Ubuntu. Hi! Today’s post is a demo on how to interact with a local LLM using Semantic Kernel. In my previous post, I wrote about how to use LM Studio to host a local server. Today we will use ollama in Ubuntu to host the LLM. Ollama Ollama is an open-source language model platform designed for local interaction with large language models (LLMs). It provides developers with a convenient way to run LLMs on their own machines, allowing experimentation, fine-tuning, and customization. With Ollama, you can create and execute scripts directly, without relying on external... #techcommunity #azure #microsoft https://lnkd.in/gWKXGz8i

Last week, our team was in San Jose and presented at The Linux Foundation Gen AI & ML Summit. 🔥 For us, this was an exciting opportunity to interact with LLM practitioners and talk about LLM evaluation. 100s of people visited our booth and learned more about Deepchecks LLM Evaluation solution. 🚀 🌟 Learn more about Deepchecks LLM evaluation here: https://lnkd.in/dwx-JeGZ #llmops #llms #machinelearning #opensource #openai

Dive into the Future of Machine Learning: Install TensorFlow 2.0.0-alpha0 on Ubuntu/Linux! Ready to explore the cutting-edge of AI? Our latest YouTube tutorial guides you through the process of installing TensorFlow 2.0.0-alpha0 on your Ubuntu/Linux machine! Learn the ropes with our step-by-step guide and get hands-on with the latest features and improvements. https://lnkd.in/da6WW-2Z 8 Empower your machine learning projects with the latest tools! Subscribe for more tech tutorials and stay ahead in the world of AI. #TensorFlow #MachineLearning #TechTutorial #UbuntuLinux