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	<title>Vankova &#38; Partners &#187; IT Education</title>
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		<title>What Is the Purpose of a Proxy Server? Chron com</title>
		<link>http://www.realandintellectualproperty.com/what-is-the-purpose-of-a-proxy-server-chron-com/</link>
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		<pubDate>Wed, 11 Jan 2023 18:48:24 +0000</pubDate>
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				<category><![CDATA[IT Education]]></category>

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		<description><![CDATA[Internet Protocol (IP) and a proxy server are two completely different things. IP is a set of standards for addressing and routing data packets across computer networks to ensure they reach the correct destination. A proxy is a server that &#8230; <a href="http://www.realandintellectualproperty.com/what-is-the-purpose-of-a-proxy-server-chron-com/">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
				<content:encoded><![CDATA[<p>Internet Protocol (IP) and a proxy server are two completely different things. IP is a set of standards for addressing and routing data packets across computer networks to ensure they reach the correct destination. A proxy is a server that provides a gateway between users and the Internet and is used as a middleman between the user and the resources they are accessing.</p>
<ul>
<li>The user (meaning you) connects to the proxy server, for example with a computer, laptop or smartphone.</li>
<li>A VPN comprises many servers through which the traffic is tunneled via a highly secure and encrypted packet format and routed using label switching for faster transmission.</li>
<li>With the increase in SSL web traffic, zero-day malware, and growing number of social websites, enterprises are turning to secure web gateways to protect employees from internet-borne attacks.</li>
<li>If you want to use a proxy server to stay anonymous while surfing the web, youâ€™ll have to take into account a lot of different factors.</li>
<li>Users should assume a proxy is not encrypted unless the proxy server settings state otherwise, and use unencrypted proxies at their own risk.</li>
</ul>
<p>When browsing the web, your access to certain websites might be denied due to your IP address or location restrictions. In this case, a proxy will act as a bridge and mask your true address, making your target website recognize its address as your own. If your request to access the desired website is submitted through a proxy, you are much more likely to get to that website. You need the proxy server in order to appear more legitimate to the target website even if your IP address is completely in accordance with the Internetâ€™s rules.</p>
<h2>What Is a Proxy Manager?</h2>
<p>Now that you have an idea about why organizations and individuals use a proxy server, take a look at the risks below. There are several reasons organizations and individuals use a proxy server. This means that, if your organization uses a web proxy setup, you can  now configure Airtame to access the proxy and thereby reach the internet.</p>
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" width="301px" alt="purpose of a proxy"/></p>
<p>When sending a request via a proxy server, the hacker&#8217;s exact IP address is replaced by the proxy server&#8217;s IP address, thereby concealing their real identity. This approach helps them undertake clandestine operations without being caught. However, using a free web proxy over the Internet does not guarantee the privacy of their identity, as these servers primarily maintain a log of IP addresses from where requests are coming.</p>
<h2>What is a proxy server?</h2>
<p>The server you connect to will not know who you are and even if they store the IP address and connection information, it will be that of the proxy browser, not your computer. Right about now youâ€™re thinking, Well, you just told me VPNs are better than connecting through a proxy server online, so I guess Iâ€™ll stick with my VPN. An HTTP proxy enables businesses and users to hide their real IP addresses, ensuring privacy and preventing anyone from snooping on their activity. There are many types of proxies, for example, the TOR Network is a proxy that allows for a great deal of privacy and anonymity when browsing the internet. For example, a user accessing GDPR data might not be significant on its own. But if they access GDPR data and then try to upload it to an external website, it could be an exfiltration attempt and a potential data breach.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="purpose of a proxy"/></p>
<p>This is more common in countries where bandwidth is more limited (e.g. island nations) or must be paid for. Intercepting proxies are commonly used in businesses to enforce acceptable use policies and to ease administrative overheads since no client browser configuration is required. This second reason, however is mitigated <a href="https://deveducation.com/en/blog/what-is-a-proxy-and-how-does-it-work/">what features does a proxy offer</a> by features such as Active Directory group policy, or DHCP and automatic proxy detection. As the IP address is allocated exclusively to a specific user, it is much safer to use than a public proxy. FTP proxies allow or deny file transfers based on factors, such as source/destination IP addresses  and user authentication.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.realandintellectualproperty.com/what-is-the-purpose-of-a-proxy-server-chron-com/feed/</wfw:commentRss>
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		</item>
		<item>
		<title>The Hot New Job That Pays Six Figures: AI Prompt Engineering</title>
		<link>http://www.realandintellectualproperty.com/the-hot-new-job-that-pays-six-figures-ai-prompt/</link>
		<comments>http://www.realandintellectualproperty.com/the-hot-new-job-that-pays-six-figures-ai-prompt/#comments</comments>
		<pubDate>Sat, 18 Sep 2021 00:40:12 +0000</pubDate>
		<dc:creator><![CDATA[sabina]]></dc:creator>
				<category><![CDATA[IT Education]]></category>

		<guid isPermaLink="false">http://www.realandintellectualproperty.com/?p=4305</guid>
		<description><![CDATA[The course is almost two hours long and also includes content that will help you better use tools like ChatGPT to generate text responses as well as images. Readers might recall that I have often made use of legal examples &#8230; <a href="http://www.realandintellectualproperty.com/the-hot-new-job-that-pays-six-figures-ai-prompt/">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
				<content:encoded><![CDATA[<p>The course is almost two hours long and also includes content that will  help you better use tools like ChatGPT to generate text responses as well as images. Readers might recall that I have often made use of legal examples when explaining various nuances and advances in prompt engineering. Along those lines, my esteemed industry colleague Dazza Greenwood, founder of law.MIT.edu (research) and CIVICS.com (consultancy), has been doing quite interesting and important work on Legal Prompt Engineering.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="307px" alt="ai prompt engineer"/></p>
<p>A good prompt engineer can be thought of as a â€œproject managerâ€ for an AI workforce,  overseeing the completion of individual tasks that make up the job and ensuring all the workers (AI agents) have the tools (data) they need to get it done. Listings on the freelance-work platform Upwork seek contracted prompt engineers, who could get paid up to $40 an hour to generate website content like blog posts and FAQs. &#8220;I have a strong suspicion that &#8216;prompt engineering&#8217; is not going to be a big deal in the long-term &amp; prompt engineer is not the job of the future,&#8221; Mollick tweeted in late February. Sam Altman, the CEO of OpenAI, tweeted on February 20, &#8220;Writing a really great prompt for a chatbot persona is an amazingly high-leverage skill and an early example of programming in a little bit of natural language.&#8221;</p>
<h2>Harvard Universityâ€™s â€œIntroduction to Artificial Intelligence with Pythonâ€</h2>
<p>From a personal learning perspective, it&#8217;s one of the best ways you can spend your time â€“ AI is here to stay, and getting a better grasp of how it works might just help you out in the near future. â€œElements of AIâ€ is a broader course with 6 chapters, focusing on topics such as â€œneural networksâ€, â€œmachine learningâ€ and â€œAI problem solvingâ€. However, it is recommended you have a graduate-level <a href="https://deveducation.com/en/courses/prompt-engineer/">prompt engineer formation</a> machine-learning qualification and some prior experience with reinforcement learning from previous studies. This course teaches participants how to build deep-learning applications with TensorFlow, one of the most popular open-source Python software libraries. Linkedinâ€™s AI Career Essentials Course is made up of five different videos, with a total run time of around four hours.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="306px" alt="ai prompt engineer"/></p>
<p>They&#8217;ll lose the thread of a conversation right when you&#8217;re about to have a breakthrough. Complexity-based prompting[41] performs several CoT rollouts, then select the rollouts with the longest chains of thought, then select the most commonly reached conclusion out of those. For example, practical or commercial AI such as ChatGPT is still in its infancy, and new LLMs are proliferating quickly.</p>
<h2>AI &#8216;prompt engineer&#8217; jobs can pay up to $375,000 a year and don&#8217;t always require a background in tech</h2>
<p>They need to monitor and correlate inputs and outputs and establish meaningful metrics to measure the behaviors and performance of the AI platform. These analytics are useful to developers, data scientists and the business team. But as with people, finding the most meaningful answer from AI involves asking the right questions. It cannot intuit, meaning it does not know what a user wants until it&#8217;s explicitly stated. In addition, it cannot provide specific details until the user provides precise parameters for the question.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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N3i7MuerizhuZO7CRapowKpLgrdQyTf1n7NDzaeptnI5/ayTpO97aapXfxRbGElxft1Ksff1UmrppX08i4+pl5Xn57e1fAqLqqsv9v5Sk9v6eGkxcGDE9jIFsSSIoYDGIChjAQQyO4bk0AgYAwM0lZgiVVakUZdEkMSGUOKGyKY7nJVchJk5IjYAuIB01eSXmgOvhaeWCXHd9S9CQyoGgTAdgoC4hgAAAAxDEwAzVYKUoryNJkrzyyXT5gjpTwcfV+ZfSoqMUjmYbGuVSEHtc7aRnlyl8d8bL4pVM0YW0ZpvbUIwLFA5OjWp+4E+Sb9hRQdnrsX5tNyCLzX2SXm/0LIQT8TzPlw9xQ6sbtZr9E2VyxbXhi2+ctEB1FJJckZKlS7eT/0UxqaOdWaSW7ekUcrtDt5XccOvJza+CLjjalyk9dXHdrxw9LKl9NJaLe3mzyeEwrq1YU4u2Z2vyW7ZCc3JuUm23u3q2aezKkYYinKbtFPV+yx6ZNRxt3XruzqUcHBRafq2753xfmXY2dGpNJJbXbXB+TI18S8jp92SkrXfLoY1QlG3q2mvsv5M5Wu0hww8lJ5Hm/qevvLqdbK7TTi/5v1Hh6yvbafFPRmudVNWdn1OVqqJ1b7bF1N6FUKUHsnF846fgXRo21z3XmtQMmNoKUr24GSWGXI3VHdlbiGoyqjYn6vYuyjaIKnDQw46F6U1/LL4HQnsc/GytSqP+VsuM7Zy8ebrvf8AqZnZdU8KKWe/P14EWJ8AYPdHNTGIZUBIQ2yguLfoCVyQQxAAACCwwKa62ZUjTUV0ZkZrcTQxIZVV3JJisOxyVIgxtkWwAnQV5x6ogauz6d535AdQYIJTS1bS6lAMzvHU19a/RNh+30+b/wBrA0iaKVjKb+uvboXRmns0+jAAGKwAxDEAGPF8OdjWzbguwZYqHrFUUbPLZxb4J338wPP4SLVWD/mR6yjrEjD0TknrXj/sf6nQpdjzgn9JGV+Fmv1M5Y/p0xsjMgzIlVwlVfUv0aZkqOUfFCa6wl+hz+a6fUaM9iSrXst/iZIKcvDTm+qcV+J0Oz8M4T9ZOzaXdS2j5+bNTFLnpaqLWjTXsJQw133tjdnuJxvx9xuccY/yV8+x2KlVm3KV43eWPBLhoZUz1kvRSkv+9U/t/QrfovR/8tX+z9Dozt5pMaPRv0apL/u1f7f0F/8AnaX/AJKn9v6DabVdm41SjGnN2klaMufJM7VGpl0no+fBnMXYlJK2ep74/obo0rQUM0pW2crN+8554b7jphn+K2VlCa7y9vFe0pjSnweaPnuUwpyjo9V8C6FZp2s+px067WKolo00+hYqy2M9XEIzzxMV/wDC/NT6n7as3ELmD9sXCM30hJl1N1Z+GjU9scvxHzV+o03BllLA1pbxjH+qX6G2j2X9ud/KOhZhUuccTE1UtOLOd2hVXqZ9D1kuwMO3dwk3zdSf6hP0dwso5ZUm151J/qbxw1dueXJuPmdTwrqUs9l6X9j4fD4WE6NJRm6sYt5pPu5ZPi/JHiqmx3yu7t5wxcUJSuPiZVIaEiRWQO3MPwIupyXvBpMdvIpc3zET6X5X+73iuua95SA+l+V66r3jZnJKTRfpPlbYzSWrNEZX6lVZaikRQAgDQBibE2clDZFASigGkdHs5LLLqc80KWWkl9tv3IQXV8a9obfa59DHJ3d27vz1CxZGi35dS7NKgNCw65j/AGdc3+BNrpmBaarR+Whe8PyfvISotcPcXZpOnjKkeOZef6mulj4S0l3X57e851hBHcEzk0MRKGzvH7L2Nsq2ZaaAWTqpHq/RJ5sNN/5svyxPFtntfQuN8JP76X5YjG9lnTsuL5DUS71Y/Vm6kU5EGQtyjykVTkXJAqceSLVDyHlArdGPIiqMbmjKyKT5BGerhkyh4ZG+UStwKOfLDFcsMdF0mL1HkRXPWFHHAs6MaJbGkVHPjgPMmuzU92dFQJKA1F7c9dl0+ROOCpr6q9xuyPkPIBRGilsiah5FuUaiFQUfIaiTygoBEVELE8o8oR5T0/8A4Kn9/H8kz57I+i/4gq2Cp/fx/JM+cyDKriWRIDi9TLS0TnbbcUpcERLakgbvuA0i2FB8dDO2tKrDsao0orhfqWJWJ9NaY1Sb4MfqZcjZcCfRpidNrdMjY2shOCe6H0aZSUndWe6/EdSOXzX4oijcrFiCAANiFwIkkclBOKIomgBlk3fKlwikuvEpky6jrd+xBVsIW6k0RJIw0kgEMKAAQBKKe6KZ4fkXgXaaYWrG2+gOCdr8AZbUkFON9T3foSv3Sp99L8sTw0XY916Da4Sp99L8kC4+mXj0FhqJOwHVzRyiylgEVCwZSTQZQEojUQUWTSAi4EHAuIgV5BqJMVgEojsA0AhpErBYbUrBlJWAmwrBYlYLDYiOw7BYiAdgsMDyf+Ii/caf+oj+SZ82kfSv8Rv4Gn/qIfkmfNZF/CIAnqgEyKmTp079CEFdpGuKJa1IcIpbEyIzDRjEhkUAAAIQxMCMjDfK2jczFXXeZqM5GwEtkM6xhWwQMRzVNDuQuO4D4miiu6jMjXElWJoZEkZbO4xIYAAAAAIYDTEwyoNvMqISbPfegX8FU+/l+SB4N2Z730DX7nU+/l+SBrH1MvHpQGgsdHMJDsCQ7AKwWHYViKBoLDACLJCaAiNDAAuAxgIYDIEFh2CwCSGFh2AVh2CwWIAYJAB5T/Ef+Apf6iH5JnzOR9M/xH/gKX+oh+SZ8ykWeIiIYgq2h4jUjHTdpI1ozWomhiQzDRgIApgAAAgACLMuIj3l0NbM+I4FiVSmMityR1jmrsAAYUMQABKO5sQgJWomNCAjSQxAQMWUACHkDKAFDsIQAM996CfwdT7+X5IABrH1MvHpQADo5mhgBAMQwCgAAIAACKaAACABgFADAgAAAAYAADACAAAA8l/iR/AUv9RD8kz5mxAa/AQkAAM1wd0mAGa1FqGIDDQGABTAAAQMQADKay0EBYlZySADpHN//9k=" width="304px" alt="ai prompt engineer"/></p>
<p>For example, perhaps you want a prompt to be open to interpretation by the AI. You could ask a tool like Midjourney to generate art based on a vague idea, using an indistinct prompt. But you could also refine a prompt in ways that are not natural language. Midjourney supports special codes that can set the aspect ratio for art or that give weight to styles you mention in the prompt.</p>
<p>For example, a prompt engineer might analyze AI responses to certain prompt sets and alert the data science team to signs of data bias that could require more training or a review of data content. Similarly, AI prompt responses that indicate data gaps or cause unpredictable results might signal the need for a data review and additional training. In the broadest sense, prompt engineering is the art of figuring out how to ask the best questions to elicit the most meaningful responses from AI. This typically involves strong language skills to use nouns, verbs and other vocabulary arts to query the AI. As AI continues to evolve and demonstrate value in human endeavors, there is a growing need for professionals who understand how to prompt (pose questions or actions to) the AI in the most efficient and effective ways possible. This has led to the emergence of AI prompt engineering jobs as a computer science role and even a viable career path.</p>
<div style='text-align:center'><iframe width='563' height='315' src='https://www.youtube.com/embed/9KGtKwrATeE' frameborder='0' alt='ai prompt engineer' allowfullscreen></iframe></div>
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