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Report link - Modern Defense in Depth
Download this insightful ebook for free to learn a new approach to DiD that enables current security tools to operate in concert rather than independently. By the time you’re done, your company will be able to establish integrated lines of defense similar to the way in which modern militaries operate on the battlefield. Because let’s face it—hackers have declared war. And it’s imperative that your company wins every battle.Labels: Security,devsecops,o'reilly,report,cybersecurity,
Report link - What Is MLOps?
MLOps is a process for generating long-term value while reducing the risks associated with data science, ML, and AI projects. This practical report will show you how to make MLOps work in your organization. And you can get it free today as our gift to you.
Free chapter link - Prompt Engineering for Generative AI, Ch 1
Diving into the intricacies of generative AI requires mastery over prompt engineering—a skill pivotal for harnessing the full potential of AI models. This free chapter by James Phoenix and Mike Taylor lays the foundation for creating effective prompts that lead to reliable and useful AI outputs. Understand the key principles like providing clear directions, formatting outputs, and breaking down complex tasks into manageable prompts. Discover techniques for generating creative product names and images and learn how to apply role-playing scenarios to enhance AI interactions.
Report--Technology Trends for 2024
For decades, the tech industry hummed along on a predictable five-year disruption cycle. Microservices, cloud, Agile—each marked a turning point, but the pace felt manageable. Then came 2023. One explosive AI breakthrough, ChatGPT, changed all of that.
Book link - Software Supply Chain Security
This practical book gives you a comprehensive look at security risks and identifies the practical controls you need to incorporate into your end-to-end software supply chain. Author Cassie Crossley demonstrates how and why everyone involved in the supply chain needs to participate if your organization is to improve the security posture of its software, firmware, and hardware.
Live course link - Generative AI for Finance
Join us and leading industry experts to learn more about next-generation AI tools and techniques at the forefront of transformation in financial services.
Generative AI in the Real World: Putting AI in the Hands of Farmers with Rikin Gandhi
If you want to fine-tune your prompting skills, make sure to attend O’Reilly’s Prompt to Product Showdown virtual event, led by Lucas Soares, on August 15 from 9AM to noon PDT. You’ll see how five experts use carefully crafted prompts to build minimum viable products with generative AI.Rikin Gandhi, CTO of Digital Green, talks with Ben Lorica about using generative AI to help farmers in developing countries become more productive. Farmer.Chat integrates information from training videos, sources of weather and crop information, and other data sources in a multimodal app that farmers can use in real-time.About the Generative AI in the Real World podcast: In 2023, ChatGPT put AI on everyone’s agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.Points of Interest0:00 Introduction.0:45: Digital Green helps farmers become more productive. Two years ago, Digital Green developed Farmer.Chat, an app that uses generative AI to put local language training videos together with weather data, market information, and other data.2:09: Our primary data source is our library of 10,000 videos in 40 languages that have been produced by farmers. We integrate additional sources for weather and market information. More recently, we’ve added information support tools.3:38: We have a smartphone app. Users who only have feature phones can call into a number and interact with a bot.5:00: Prior to Farmer.Chat, our work was primarily offline: videos shown on mobile projectors to an in-person audience. Sending content to phones flips the paradigm: rather than attending a video, farmers can ask questions relevant to their situation.6:40: When did you realize that generative AI opened up new possibilities? It was a gradual transition from offline videos on projectors. COVID didn’t allow us to get groups of farmers together. And more farmers came online in the same period.8:17: We had a deterministic bot before Farmer.Chat. But users had to traverse a tree to get the information they wanted. That tree was challenging to create and difficult to use.9:33: With GPT-3, we saw that we could move away from complexity and cost of using a deterministic bot.11:15: Did ChatGPT alert you to more possibilities? ChatGPT has scoured open internet knowledge. Farmers are looking for location and time-specific information. Even in the earliest version of ChatGPT, we saw that it had a lot of this information. Putting this world together with our video was powerful.13:07: Accuracy, precision, and recall are all important. Are you fine-tuning and using RAG to make sure you are accurate? We had problems with hallucinations even within our knowledge base. We implemented reranking and filtering, which reduced hallucinations to <1%. We’ve created a golden Q&A set.16:01: People are now talking about GraphRAG, the use of knowledge graphs for RAG. Can you create a knowledge graph because you know your data so well? A lot of concepts in agriculture are related—for example, crop calendars for how crops develop. We’re trying to build those relations into the system.17:05: We are leveraging agentic orchestration for the overall pipeline. Based on the user’s query, we may be able to answer questions directly rather than go through the RAG pipeline.18:44: Your situation is inherently multimodal: video, speech-to-text, voice; is this a challenge? We’re now using tools like GPT Vision to get descriptive metadata about what’s in videos. It becomes part of the database. We began with text queries; we added voiceLabels: Generative Models,audiobook,data,rikin Gandhi,
Generative AI in the Real World: Kingsley Ndoh on Improving Cancer Care with AI
What can AI do to improve healthcare? Kingsley Ndoh, founder of Hurone AI, talks with Ben Lorica about how Hurone is making cancer care more effective for people who are underserved by the medical system. He discusses how AI can streamline the medical process, both helping doctors to treat patients more effectively and making clinical trials more diverse.About the Generative AI in the Real World podcast: In 2023, ChatGPT put AI on everyone’s agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.Points of Interest0:00: Introduction.0:36: What motivated you to apply AI to cancer care? What problems are you trying to solve?1:39: We need environments for training AI models that are effective for all populations.2:31: Current oncology solutions serve advanced healthcare systems, leaving community oncology centers and international markets underserved.3:31: Lack of diversity in clinical trials means we don’t have full evidence on the efficacy of drugs.5:00: What is an oncologist?6:10: Cancer is a very complex disease; every cancer is different and has its own solutions.6:43: What advantages do you bring as a domain expert?7:11: I’ve been a physician taking care of patients. I understand clinical workflows in Nigeria and the US. I’ve also been an entrepreneur since I was in high school. I’ve also worked in the global oncology space with governments and pharma companies. That network is very important.9:15: What was the situation before Gukiza [Hurone’s app]? What does Gukiza enable today?9:44: Gukiza makes care more accessible to patients and optimizes workflows for oncologists. They may have to travel long distances to see an oncologist; they may have side effects or even emergencies that are avoidable; data about events may be lost.12:53: Gukiza streamlines the process; it’s a two-way system that can be used standalone. There is a HIPPA-compliant API that can be integrated into major electronic medical records systems. Patients aren’t limited to an app; there is an API for WhatsApp, Telegram, and text messaging.14:13: Patients can describe their problems. Clinicians can click a button and generate a response that they can review and send to the patient. Clinicians can also call patients, do clinical summaries, and see how patients are progressing.17:08: One should think about this as a copilot. The app makes suggestions; the physician makes the decision.17:35: There are definitely risks. We are building our model and fine-tuning it to ensure that hallucination is limited. But there is still a final human review.18:40: What if I want to use the system in a completely new country? What does it take to get the system into a viable, usable state?19:41: We conform to the country’s guidelines for the management of patients. Cancer care is usually based on established guidelines. In the US, we have NCCN guidelines. To make sure guidelines are responsive to different regions, the NCCN looked at evidence for research done in different countries to harmonize guidelines. That gave birth to the resource stratified guidelines for regions like Sub-Saharan Africa. We don’t need to customize a lot.21:38: We are also building agreements for access to de-identified cancer data. As we scale, it will get better.24:02: Health data is the most sensitive data in the world, but also the most abundant. Compared to other industries, healthcare is lagging behind. But many regions are looking for disruption and innovation and are willing to be flexible to work with us.25:20: Our solution isn’t a magic bullet, but it will shift the needle.
Book link - Probabilistic Machine Learning for Finance and Investing
There are several reasons why probabilistic machine learning represents the next-generation ML framework and technology for finance and investing. By moving away from flawed statistical methodologies and a restrictive conventional view of probability as a limiting frequency, you’ll move toward an intuitive view of probability as logic within an axiomatic statistical framework that comprehensively and successfully quantifies uncertainty. This book shows you how.
Report link - A Developer's Guide to Building AI Applications, 2e
f you’re interested in building AI applications, this ebook will walk you through the creation of a virtual assistant, a conversational AI app that can understand language, perceive vast amounts of information, and respond intelligently. You’ll learn about the AI resources and capabilities that are available to developers and get advice on how to apply well-tested AI solutions to everyday problems. And it’s free, our gift to you.
Report link - An Introduction to Machine Learning Interpretability
An Introduction to Machine Learning Interpretability provides cutting-edge interpretability techniques. And it's yours free today.
Report link - Creating a Production Launch Plan
A launch plan can prevent a wide range of issues by involving all relevant parties and processes to ensure a controlled launch progression. With this report, developers and site reliability engineers will explore the basic components of Google’s launch plan and learn practical methods to reduce risks when introducing your company’s products. These lessons are adaptable for consumer-oriented services regardless of company size or product user base.
Report link - How Companies Are Putting AI to Work Through Deep Learning
We conducted this survey to help leaders better understand how organizations are applying AI through deep learning and where they’re encountering the biggest obstacles.
Report link - Investing in Employees
Curating learning for an entire organization can be daunting. Your workforce needs to continually learn topics specific to their career, skill level, and the technologies they are required to use. In Investing in Employees: Training and Educating Staff with Outstanding Results, industry experts share their experiences and advice to help you successfully implement and scale training across your organization.
Book link - Implementing MLOps in the Enterprise
Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs.
Report link - Multicloud Architecture Migration and Security
Cybersecurity experts Laurent Gil and Allan Liska show you how to orchestrate and manage multicloud environments, including edge technologies designed to secure and protect your environment. Managers and leaders will learn methods for distributing workloads across cloud providers as well as ways to avoid potential pitfalls when pursuing this strategy. This ebook is yours to download—completely free.
Report link - Product Management for AI
This insightful report will help you anticipate and solve the problems you face as you develop an AI project and shepherd it into production.
Report link - Protecting Your Web Applications
Download this practical ebook, free, to get an overview of today’s major threat patterns and the strategies and techniques you need to prevent and protect against a host of attacks.
Report link - Software Architecture Patterns, 2nd edition
The success of any application or system depends on the architecture pattern you use. This report examines common software architecture patterns, explaining how each works, the pattern’s benefits and considerations, and the circumstances and conditions it was designed to address. If you’d like a quick guide to choosing the right pattern for your project, Software Architecture Patterns is extremely useful. And it’s free today.
Free chapter link - Blockchain Success Stories, Ch 3
There’s a lot of hype about blockchain, but sometimes it’s hard to tell who’s using it—and who’s actually making it work. This fun-to-read book offers a look at ten case studies of companies that have successfully integrated blockchain into their businesses. Chapter 3 explains how to build a successful blockchain by describing how Changpeng Zhao became a blockchain billionaire in less than a year. And it’s free today, as our gift to you.
Free chapter link - Building Microservices, second edition, Ch 1
Microservices technologies move quickly. With clear examples and practical advice, this new book brings you up to speed. And you can get chapter 1, “What Are Microservices?” free today, as our gift to you.
Book link - CKAD Study Guide, 2E
Updated to reflect revisions to the official curriculum made in September 2022, this revised study guide takes you through all the topics you need to fully prepare for the exam. Author Benjamin Muschko also shares his personal experience and tips.
Book link - CKA Study Guide
Certified Kubernetes Administrator (CKA) Study Guide walks you through all the topics covered to fully prepare you for the exam. Author Benjamin Muschko also shares his personal experience with preparing for all aspects of the exam.
Free chapter link - Designing Data-Intensive Applications, Ch 2
Data models are perhaps the most important part of developing software because they have such a profound effect not only on how the software is written but also on how we think about the problem we’re solving. And most applications are built by layering one data model on top of another. Chapter 2 explains data models and query languages and how to choose the best model for your application. It’s just one small example of the wealth of content available on the O’Reilly learning platform. And it’s yours, free, as our gift.
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