Craft a GENERATIVE AI organisational strategy.

The CTO's Guide to Gen AI

How to avoid hallucinations in your Gen AI output

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Tackle the challenge of AI hallucinations head-on with our insightful guide on enhancing the reliability and accuracy of your AI models.

AI hallucinations, where models generate incorrect yet confidently presented content, can be a significant hurdle in the path to creating trustworthy AI systems. This video provides actionable strategies to mitigate these errors and steer your AI projects towards verifiable accuracy.

Discover the importance of setting a clear goal for AI-generated content to be immediately verifiable, incorporating human feedback directly into the AI’s learning cycle for a nuanced, real-world understanding, and utilizing tools like Langchain for automated fact-checking against reliable sources like Wikipedia.

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We delve into the benefits of diversifying data sources to provide a balanced and accurate foundation for AI learning, reducing biases and the risk of hallucinations.

Learn how averaging outputs across several models can lead to more trustworthy results by harnessing the wisdom of multiple sources. This video emphasizes the critical need to ground AI outputs in verified facts and authoritative sources for maintaining accuracy and trust.

Explore the iterative approach to refining AI models, incorporating end-user feedback through simple mechanisms like thumbs-up/thumbs-down buttons, and drawing inspiration from third-party models like Google's and OpenAI's iterative refinements.

By embracing continuous learning and adaptation, we can navigate the complexities of generative AI, avoid inaccuracies, and ensure our AI-powered systems evolve to be more reliable and helpful.

Whether you're a developer, researcher, or AI enthusiast, this guide offers valuable insights into creating more accurate, reliable AI models that stand the test of real-world application and scrutiny. Join us on this journey of discovery and innovation in the realm of generative AI.

What is Site Reliability Engineering?

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Dive into the heart of digital resilience with our comprehensive exploration of Site Reliability Engineering (SRE). This transformative approach goes beyond mere uptime to embed reliability into the very fabric of digital services. From its origins at Google, designed to tackle the challenges of maintaining reliability at scale, to the key principles that make it a cornerstone of modern tech companies, this video is your ultimate guide to understanding what SRE is and how it can revolutionize your approach to digital service delivery.

Discover the significance of prioritizing reliability, the power of data-driven decision-making through Service Level Objectives (SLOs) and Service Level Indicators (SLIs), and the strategic balance between innovation and stability with error budgets. Embrace the automation ethos to enhance efficiency and focus human creativity on where it matters most. Get a closer look at the daily life of Site Reliability Engineers — the unsung heroes ensuring seamless online experiences — and learn why SRE is crucial for meeting customers' evolving demands for responsive, scalable, and secure services.

Understand how adopting SRE can lead to significant operational efficiencies and cost savings by automating manual tasks, thus allowing engineers to concentrate on growth-driven projects. Explore the proactive investment in resilient and scalable systems that can save organizations from the high costs of failures and emergency responses. Plus, if you're looking to optimize your Google Cloud spending and enhance your engineering team's support system, discover exclusive offers at firney.com/calculator.

This video also navigates the shift from traditional IT operations to a more integrated development and operations model that SRE embodies, highlighting the importance of leadership, clear objectives, and a culture of learning and collaboration. Join the vibrant community of SRE professionals driving forward the sharing of best practices and continuous improvement in the tech ecosystem.

As we look to the future, we anticipate advancements in automation, machine learning, and the integration of development, operations, and security teams, all aimed at bolstering the reliability and value of digital services. Whether well into your SRE journey or just beginning, this video illuminates why there's never been a more thrilling time to be involved in Site Reliability Engineering.

Explore the pivotal question many engineers and developers face: "When is the right time to switch to Kubernetes?" In this episode, we dive deep into the world of Kubernetes, comparing it with traditional virtual machines, cloud functions, lambda functions, and other alternatives like Engine and Cloud Run. Whether you're managing complex, containerized applications that demand high availability and scalability or you're navigating the challenges of diverse environments and DevOps maturity, this video provides essential insights.

Discover the benefits of Kubernetes, including its ability to automate deployment, scaling, and operations, making it an indispensable tool for applications requiring seamless performance and efficiency. Learn when virtual machines might limit your growth and how serverless models like cloud functions and lambda functions fit into the scalability and complexity of your projects. We also explore scenarios where Kubernetes offers a more robust and flexible environment compared to simpler platforms like App Engine and Cloud Run.

Identifying the optimal moment for transitioning to Kubernetes is crucial for handling complex workloads, ensuring high availability, and embracing DevOps practices. This video not only covers the technical aspects but also addresses the financial and organizational considerations, including an introduction to cost-saving opportunities available through Firney's cloud cost calculator.

Whether you're a small team starting out or a large enterprise looking to optimize your cloud infrastructure, this comprehensive overview will help you assess your needs and make an informed decision about moving to Kubernetes. Watch now to understand how Kubernetes fits into your organization's growth and technical roadmap, ensuring your infrastructure is scalable, reliable, and efficient.

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Transitioning from Lean SaaS App to enterprise-grade web services #cloud #kubernetes

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Why run your AI & ML workloads on Kubernetes?

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Where should you deploy AI models? #ai #ml #cloud #vertexai