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Author : Mr. Ankit Prajapati (Sr. Software Analyst) Below topics are covered in this presentation !!!  Software Testing  Skills required for Software Testing  Methods of Software Testing  Levels of Software Testing  Types of Software Testing  SDLC vs STLC  Test Management (Defect Life Cycle)  Deliverables of Software Testing  Automation Testing  Difference (Manual vs Automation)  Automation Testing Tools  References YouTube Link: https://www.youtube.com/watch?v=rTPh4kHgbdM

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OpenJDK with it’s Java Virtual Machine is great but there is not only one flavour but many. There is Oracle OpenJDK, Eclipse Temurin, IBM Semeru, Amazon Corretto, Azul Zulu, Alibaba Dragonwell, Huawei Bi Sheng, Tencent Kona and many more. Did you ever ask yourself which one is better, faster, free or something similar? Or do you want to know where the differences are in those distributions, well then this session might bring some answers to your questions. It will give you an idea about what the JVM is and will cover all the available distributions not only of OpenJDK but also of GraalVM and will try to explain the differences and features of the available distributions. It will also try to give you an idea what JVM to use for specific use cases.

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In the realm of real-time applications, Large Language Models (LLMs) have long dominated language-centric tasks, while tools like OpenCV have excelled in the visual domain. However, the future (maybe) lies in the fusion of LLMs and deep learning, giving birth to the revolutionary concept of Large Action Models (LAMs). Imagine a world where AI not only comprehends language but mimics human actions on technology interfaces. For example, the Rabbit r1 device presented at CES 2024, driven by an AI operating system and LAM, brings this vision to life. It executes complex commands, leveraging GUIs with unprecedented ease. In this presentation, join me on a journey as a software engineer tinkering with WebRTC, Janus, and LLM/LAMs. Together, we’ll evaluate the current state of these AI technologies, unraveling the potential they hold for shaping the future of real-time applications.

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