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Early release link - Prompt Engineering for LLMs by John Berryman & Albert Ziegler
Prompt Engineering for LLMs provides a solid foundation of LLM principles and explains how to apply them in practice. When first integrating LLMs into workflows, most developers struggle to coax useful insights from them. That's because communicating with AI is different from communicating with humans. This guide shows you how to present your problem in the model-friendly way called prompt engineering.
BIT Email link - O'Reilly DEIJ scholarship program
O’Reilly believes that innovation depends on the contributions of people with a variety of perspectives. To help members of groups underrepresented in technology develop and sharpen the skills needed to break through barriers within the field, they’re offering 500 annual scholarships that give recipients full access to the O’Reilly learning platform. If you belong to a group that's underrepresented in tech—and that includes women, the Black, Indigenous, Latinx, and Asian communities, the LGBTQIA+ community, veterans, and people with a physical or neurological disability—and want to kickstart your career, upskill, or develop new tech skills, you can apply here. The deadline for applications is April 1, 2024.
BIT Social link - O'Reilly DEIJ scholarship program
@O’ReillyMedia believes that innovation depends on the contributions of people with a variety of perspectives. To help members of groups underrepresented in technology develop and sharpen the skills needed to break through barriers within the field, they’re offering 500 annual scholarships that give recipients full access to the O’Reilly learning platform. Learn more and apply now!
Hands-On APIs for AI and Data Science
APIs and the Python programming language are among the most important technologies that make modern data science and generative AI work. With this practical book, data scientists and software developers will gain hands-on experience developing APIs and using them in generative AI and data science projects. Part one takes you step-by-step through coding projects to build APIs using Python and FastAPI and deploy them in the cloud. Part two helps you consume APIs in a data science project using industry-standard tools. In part three, you'll use ChatGPT Actions, the LangChain framework, and other tools to access your APIs with generative AI and large language models (LLMs). As you complete the chapters in the book, you'll create a professional online portfolio demonstrating your new skill with APIs, AI, and data science.
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Generative AI in the Enterprise report 2023
O’Reilly Releases 2023 Generative AI in the Enterprise Report Revealing Unprecedented 67% Rate of Adoption, Growing Demand for AI Programming and Data Analysis Skills
Book--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. This generative ensemble learns continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, retrodiction, prediction, and counterfactual reasoning. Probabilistic ML also lets you systematically encode personal, empirical, and institutional knowledge into ML models.
Video--Generative AI for Finance
AI continues to be a key force driving innovation in the financial ecosystem—automating processes, personalizing customer experiences, mitigating risk, fighting fraud, and predicting financial markets like never before. Join us and leading industry experts to learn more about next-generation AI tools and techniques at the forefront of transformation in financial services.
Book--Implementing MLOps in the Enterprise
With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production.
Book--Developing on AWS with C#
Many organizations today have begun to modernize their Windows workloads to take full advantage of cloud economics. If you're a C# developer at one of these companies, you need options for rehosting, replatforming, and refactoring your existing .NET Framework applications. This practical book guides you through the process of converting your monolithic application to microservices on AWS.
Free Ebook: Next Architecture
In this ebook, O’Reilly offers a collection of stand-alone chapters from several of its published and forthcoming books. You’ll get valuable information on innovative tools and processes to help you face disruption, deal with increasing complexity, and build new technical capabilities.
Start learning now text link
O'Reilly learning provides individuals, teams, and businesses with expert-created and curated information covering all the areas that will shape our future—including artificial intelligence, Swift, Ruby, Python, C++, CSS, HTML, Java, JavaScript, PHP, operations, data, UX design, finance, leadership, and more.Labels: Text Link,individual,trial,
Report link - A Practical Guide to Cloud Migration
In this ebook, 13 members of the Google team share their hard-won experience and show you how to navigate the cultural and technological transformation required to migrate to the cloud.And did we mention, it’s free?Labels: Cloud,system Administration,o'reilly,sre,report,google,cloud Computing,data Engineering,
Report link - Extending Kubernetes
Gianluca Arbezzano from InfluxData shows you why Kubernetes is much more than an end application. Extending Kubernetes with its API to implement and automate flows or to gain more visibility into your system more than justifies the system’s cost and complexity. With this report, you’ll learn the right way to use everything it has to offer.Labels: Cloud,kubernetes,software Development,o'reilly,report,api,cloud Computing,data Engineering,
Report link - Kubernetes in the Enterprise
Arguably the hottest acronym in tech right now? K8S. Kubernetes. Why? Because it’s broadly supported, open source, fast and efficient—and changing the game for organizations to deliver applications.But getting started with the Kubernetes container orchestration can be tricky. That’s where this practical ebook for developers and operators can help, by showing how to run stateful workloads on Kubernetes to transform the way you manage your core enterprise middleware.Labels: Cloud,kubernetes,cloud Native Computing Foundation,o'reilly,
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,
Free chapter link - CockroachDB—The Definitive Guide, Ch 2
The CockroachDB architecture is sophisticated: it incorporates decades of database engineering best practices together with several unique innovations. While you don't need to understand its internals to get things done, knowing the fundamental concepts will help you make sound decisions regarding schema design, performance optimization, cluster deployment, and more. This chapter clearly explains everything you need to know about the CockroachDB architecture.And it’s free—our gift to you.Labels: Cloud,chapter,data,o'reilly,cloud Computing,data Engineering,
Free chapter link - Learning Java, fifth edition, Ch 4
If you’re new to Java, this bestselling guide provides an example-driven introduction to the latest language features and APIs in Java 6 and 7. Chapter 4 provides a clear explanation of the Java language syntax. This is one small sample of what you’ll find on the O’Reilly learning platform.And it’s yours, free today.Labels: Chapter,java,o'reilly,api,
Free chapter link - Mastering Python for Bioinformatics, Ch 1
The very first chapter of this practical new book shows you how to report the tetranucleotide frequency from a string of DNA. Sounds pretty simple, right? But there are different ways to do it. The author walks you through writing and testing several different versions of the program so you can explore many aspects of Python data structures, syntax, modules, and tools. This tutorial is an ideal way to learn how to structure, document, and test a program.And the best part? You can download it free today.Labels: Chapter,python,o'reilly,bioinformatics,
Free chapter link - Python Data Science Handbook, Ch 1
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. This useful handbook is one of the few resources that dives into every piece of this data science stack and related tools.Download the first chapter, “IPython: Beyond Normal Python,” for an in-depth look into author Jake VanderPlas’s preferred environment. You’ll soon learn the details that make IPython a powerful control panel to run Python effectively for interactive scientific and data-intensive computing.And right now you can get it for free.Labels: Chapter,python,data Science,o'reilly,
Free chapter link - The Staff Engineer's Path, Ch 2
We reward our best engineers by…moving them out of engineering? Treating management as the default path for an engineer with leadership ability doesn't serve the industry well—or the engineer. The role of staff engineer allows engineers to contribute at a high level, driving big projects and determining technical strategy. This new book explores this important new role. And chapter 2 provides staff engineers with three maps to help them understand where they are, where they want to go, and how to get there. This is one small sample of what you’ll find on the O’Reilly learning platform.And it’s yours, free today.Labels: Chapter,o'reilly,engineering Executive,software Engineering,engineering,engineering Manager,data Engineering,
Book link - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2E
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.Labels: Python,ai/ml,generative Ai,o'reilly,ai,keras,machine Learning,scikit-learn,tensorflow,
Playlist link - RHCE Certification Playlist Sander van Vugt
There’s never been a better time to get RHCE certified. Learn key Ansible and exam concepts and understand the objectives of the exam, and then practice your skills with hands-on labs. Get RHCE certified now!Labels: Playlist,o'reilly,ansible,rhce,certification,
Book link--Excel Cookbook
Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource for intermediate to advanced users of Excel.
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