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Unleashing the Potential: Exploring the Impact of Artificial Intelligence (AI) in Education

Discover the transformative role of artificial intelligence (AI) in education, revolutionizing the learning experience for both students and educators. Explore how AI enhances access to information, provides personalized feedback, and empowers learners through smart learning apps.

Improving LLMs in Production With Observability

Quickly: if you’re interested in observability for LLMs, we’d love to talk to you! And now for our regularly scheduled content: In early May, we released the first version of our new natural language querying interface, Query Assistant. We also talked a lot about the hard stuff we encountered when building and releasing this feature to all Honeycomb customers. But what we didn’t talk about was how we know how our use of an LLM is doing in production!

AI vs. AI: The Future of Cyber Security Podcast Ep. 14

Welcome to Security Insights: where best-practice cybersecurity meets the real-world risks, workplaces, and roadblocks you face every day. Join Chris Goettl, head of Endpoint Security Product Management, and Ashley Stryker, your cybersecurity "rubber duck", as they review the security strategies and tactics that truly matter to the information security teams protecting organizations, agencies, and businesses like yours.

Securing open source software with Platform One and Canonical

Our own Devin Breen and Mark Lewis discussed Securing Open Source Software with the Chairman of Iron Bank at USAF Platform One Zachary Burke at AWS Summit Washington, DC. The topic includes: Securing Open Source Software, Secure Minimal Containers, and Software Security Scanning.

Webinar | Achieve lower TCO and keep full control of your data with Aiven's Bring Your Own Cloud

Learn how to get the most out of your public cloud infrastructure spend without losing control of your data. In this webinar, Chris Butler, Senior Solution Architect at Aiven, explains how Aiven’s Bring Your Own Cloud (BYOC) works and what are the benefits it provides.

Kubeflow vs MLFlow

Learn the main differences between the MLOps tools of choice: Kubeflow and MLFlow Started by Google a couple of years ago, Kubeflow is an end-to-end MLOps platform for AI at scale. Canonical has its own distribution, Charmed Kubeflow, which addresses the entire machine-learning lifecycle. Charmed Kubeflow is a suite of tools, such as Notebooks for training, Pipeline for automation, Katib for hyperparameter tuning or KServe for model serving and more. Charmed Kubeflow benefits from a wide range of integrations with other tools such as MLFlow, Spark, Grafana or Prometheus.
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The Top 5 Trends on SRE Leaders' Minds in 2023: Insights from a Seasoned Executive

I've spent most of my career trying to solve big problems for people. In the early days at New Relic, we were trying to help people scale their systems based without compromising on performance, cost, or the customer experience. Not an easy feat but we gave them a solution that allowed them to accomplish their goals. The key was religiously listening to our customers talk about their wants, needs, hopes and fears. While I am rarely the smartest person in the room, which my partner rarely misses a chance to lovingly remind me, I always do my best to listen to what the brilliant folks in my sphere are talking about.