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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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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

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This video by Simplilearn will explain to you Introduction to C Programming Language. Introduction to C Programming Language Tutorial For Beginners will explain to you the C language's history, C's importance, its features, real-world applications, and some of its advantages and disadvantages. 00:00 Introduction to C 1:42-History of C language Dennis Ritchie, a computer scientist, could identify the gaps and tap out the best features from both B and BCPL languages to invent a new hybrid. Hence, C was born in 1972 at Bell Laboratories. A remarkably simple and highly readable programming language resulted in groundbreaking advancements in the IT industry. 2:48-Importance and unraveling the powerful capabilities of C, The widespread use of C started to take over the IT industry. Unraveling the potential of C, the designers began to discover new possibilities that led them to focus on the big picture. 3:56-C's cutting-edge features The designers at Bell Laboratories ensured that their programming language solved the issues with B and BCPL and the ones they had foreseen. 6:35-The popular real-world applications of C -UNIX operating system -google file system -Mozilla -Graphical user interface 8:30-The advantages and disadvantages of C 10:34-The popular IT companies and their domains that employ C · MasterCard · IBM · Flipkart · Dell · Twitter · GitHub and twitch 11:09-First c program. 🔥 Explore our FREE courses with completion certificates: https://www.simplilearn.com/skillup-f... ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the C++ Programming training videos: https://www.youtube.com/playlist?list... #IntroductiontoCProgrammingLanguage #CLanguage #CProgramming #CProgram #CProgrammingLanguage #LearnCProgramming #HowToCodeInCForBeginners #CTutorialForBeginners #LearnCProgramming #Simplilearn Dennis Ritchie, a computer scientist, was able to identify the gaps and tap out the best features from both B and BCPL languages to invent a new hybrid. Hence, C was born in 1972 at Bell Laboratories. A remarkably simple and highly readable programming language resulted in groundbreaking advancements in the IT industry. ✅What is C++ Programming? C++ is an enhanced and extended version of C programming language, developed by Bjarne Stroustrup in 1979 as part of his Ph.D. project. Bjarne developed what he called ‘C with Classes’ (later renamed C++) because he felt limited by the existing programming languages that were not ideal for large scale projects. He used C to build what he wanted because C was already a general-purpose language that was efficient and fast in its operations. ✅C++ Career Prospects: With just C++ programming expertise, you will have excellent job opportunities, salaries, and career prospects. However, for a career based on programming languages such as Java and Python (which are in more demand than C++) or for careers based on front-end, back-end, and full-stack

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