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The marketing segmentation of technical education will be better if we consider these reference groups (people mix) as an influencer. It is found that there are some People Mix - influencers - related to the institute and previous schools along with peoples associated with the students. So, it is useful to consider all these influencers rather than considering only traditional students related influencers. This article provides empirical support for the importance of interpersonal influence for educational choices. Different communication strategies can be used for these influencers who motivates students towards their decision in selecting technical education. The paper represents new form of influencers that motivates students in selecting their technical educational institute.

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“CodeCuriosity is the Fitbit for Open Source”. The sad part of open-source is that we have almost 99% developers consuming it and less than 1% actively contributing back. How do we change this and get more people to contribute back? What can be measured can be improved. We realised that the only way to increase open-source contributions is to make it fun, competitive and rewarding! What was initially a concept has now become a open initiative free platform to measure, compete and reward open-source contribution.

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We all know that contributing back to open source is important but the ratio of consumers to contributors is vastly skewed; just like we all know running is good for health but ... ;) If we can measure it, we can make it better! CodeCuriosity is the fitbit for Open Source contributors. It measures everything (commits and activities) and rewards everyone (newbies and experts). codecuriosity.org

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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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