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		<title>The New Fuss About Marijuana Stocks</title>
		<link>https://lingua-house.com.pl/the-new-fuss-about-marijuana-stocks-25/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Thu, 26 Oct 2023 09:10:04 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://www.lingua-house.com.pl/?p=2181</guid>

					<description><![CDATA[<p>The New Fuss About Marijuana Stocks As stated by the price ranges, the stocks are categorized conveniently. There are plenty of marijuana stocks which are flying high in capital appreciation. They are becoming mainstream. Although they are very hot right now, there are certain risks you need to know about including increased competition and political [&#8230;]</p>
<p>Artykuł <a href="https://lingua-house.com.pl/the-new-fuss-about-marijuana-stocks-25/">The New Fuss About Marijuana Stocks</a> pochodzi z serwisu <a href="https://lingua-house.com.pl">Lingua-house.com.pl</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1>The New Fuss About Marijuana Stocks </h1>
<p>As stated by the price ranges, the stocks are categorized conveniently.  There are plenty of marijuana stocks which are flying high in capital appreciation.  They are becoming mainstream.  Although they are very hot right now, there are certain risks you need to know about including increased competition and political risk from the federal government.  There are already several marijuana stocks available for investors to get. </p>
<p> <img decoding="async" align="left" src="https://i.imgur.com/1NBWbej.jpg" style="width:auto; height:auto; max-width:35% margin:0px 10px; max-height:282px;" alt="marijuana stocks"> </p>
<h2>Marijuana Stocks Secrets That No One Else Knows About </h2>
<p>More than a few companies help produce the hydroponic systems utilised in growing the merchandise.  Even if they do not <a href="https://test.com">test.com</a> succeed you could be compensated by other companies in the basket.  There has been some speculation that they will use cryptocurrency similar to bitcoin in order to accept payments for their products.  Always start by researching the organization or companies you are going to be investing in.  As a consequence, several biotech businesses in the US have started to develop cannabis medical applications. </p>
<p>The business is complex enough to get a myriad of firms that service the business.  It is also undergoing a profound shift following a series of watershed moments on both sides of the North American border.  It is multi-faceted and there is a litany of different products.  Other than its growth, it is also becoming a key player in the stock market.  Since it is relatively new, the companies don&#8217;t have established track records like other, more traditional stocks.  The marijuana industry should acquire momentum at first before it can be thought of as a terrific investment option.  Right now, it is growing faster than the pot plants they are selling. </p>
<h2> The Downside Risk of Marijuana Stocks </h2>
<p>For starters, it is necessary for investors to see that the federal government has de-centralized a number of the decisions to the provinces.  Investors are on the border of their seats hoping to find out which industry leaders will come out in addition to the market which is set to launch on October 17.  Make certain you sign up so you&#8217;re able to stay in front of the normal investor. </p>
<p>Keep away from marijuana IPOs because investors are clearly being irrational when it has to do with valuations.  They can buy marijuana stocks.  They might want to look more to the U.S. in 2019 for several reasons.  The smaller investors always wind up getting the brief end of the stick,&#8221; he explained.  Many times there are many investors bidding at the exact price for precisely the same stock.  Law-abiding investors were seizing the chance to put money into the newly legitimate organization. </p>
<p>When you clarify your trading strategy to the markets, your account will start to grow.  The Canadian marijuana market is just one of the most valuable on earth.  California&#8217;s marijuana market is in fact huge. </p>
<h2> Things You Won&#8217;t Like About Marijuana Stocks and Things You Will</h2>
<p>The stock is comparatively cheap and it isn&#8217;t listed on any big exchange.  If you haven&#8217;t ever bought an OTC stock through TD Ameritrade, it is advisable to call a customer service agent and make them explain just how it works.  Certainly, there are a few good OTC stocks. </p>
<h2>The New Angle On Marijuana Stocks Just Released </h2>
<p>The way the stock behaved on a specific day can be perused in order to take an educated decision about the relevant investments.  A whole lot of the Canadian cannabis stocks are very overvalued at the moment, Siegel warns.  In reality, NYSE cannabis stocks hold some of the most obvious properties in the cannabis market. </p>
<p>Artykuł <a href="https://lingua-house.com.pl/the-new-fuss-about-marijuana-stocks-25/">The New Fuss About Marijuana Stocks</a> pochodzi z serwisu <a href="https://lingua-house.com.pl">Lingua-house.com.pl</a>.</p>
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		<title>Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators</title>
		<link>https://lingua-house.com.pl/generative-ai-and-the-future-of-education-ragnarok/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Wed, 24 May 2023 14:54:25 +0000</pubDate>
				<category><![CDATA[AI News]]></category>
		<guid isPermaLink="false">https://www.lingua-house.com.pl/?p=2183</guid>

					<description><![CDATA[<p>Ask the expert: How can AI support writing and student learning? Michigan State University Amidst these disruptions to teaching and learning, appropriate next steps would involve a deeper exploration of duties and responsibilities à la policy considerations, to which we now turn. Despite the real and potential promise of generative AI applications in higher education, [&#8230;]</p>
<p>Artykuł <a href="https://lingua-house.com.pl/generative-ai-and-the-future-of-education-ragnarok/">Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators</a> pochodzi z serwisu <a href="https://lingua-house.com.pl">Lingua-house.com.pl</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1>Ask the expert: How can AI support writing and student learning? Michigan State University</h1>
<p>Amidst these disruptions to teaching and learning, appropriate next steps would involve a deeper exploration of duties and responsibilities à la policy considerations, to which we now turn. Despite the real and potential promise of generative AI applications in higher education, several risks remain. Analytics Insight® is an influential platform dedicated to insights, trends, and opinion from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe. Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. Proponents of the technology argue that while generative AI will replace humans in some jobs, it will actually create new jobs because there will always be a need for a human in the loop (HiTL).</p>
<ul>
<li>MagicSchool&#8217;s Khan says the threadbare legacy of education technology causes some teachers to be skeptical of new AI services.</li>
<li>Many, including myself, first encountered Frankfurt’s work through his intriguingly titled essay “On Bullshit,” published in 1986.</li>
<li>While legal technology providers have often coupled their products with educational or training resources in the past, such offerings seem to be gaining traction in the age of generative artificial intelligence.</li>
<li>One of the most prevalent educational concerns around generative AI systems is their use for plagiarism, which in this context would mean students using the system to do work that they then present as something they created without AI assistance.</li>
</ul>
<p>So let me give you an example of something that I think generative AI could make a big difference, be very powerful, but I&#8217;m not seeing it discussed in all the hype about generative AI. And so it will make up things when it doesn&#8217;t know them, kind of a not very good student seeing if they can fake out the teacher. And it will provide answers that are not customized to somebody&#8217;s culture or to somebody&#8217;s reading level or to somebody&#8217;s other characteristics. So you can think of ChatGPT as the next step beyond a search engine where instead of getting a list of things and then you decide which might be useful and you examine them, you get an answer that says, this is what I think you want. And that is really more the AI taking charge than it is the AI saying, I can help you.</p>
<h2>How might AI create a new awareness of writing as a part of learning?</h2>
<p>Established in 2002, the GEM Report is an editorially independent report, hosted and published by UNESCO. Public access to information is a key component of UNESCO&#8217;s commitment to transparency and its accountability. Midjourney is a generative AI tool that transforms text prompts into visual art. The industry-leading media platform offering competitive intelligence to prepare for today and anticipate opportunities for future success. Generative AI faces certain challenges concerning data privacy, use in fraudulent or criminal acts as well as hallucination.</p>
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" width="306px" alt="generative ai in education"/></p>
<p>The first global meeting of Ministers of Education took place in May 2023 and the Organization is developing policy guidelines on the use of generative AI in education and research, as well as frameworks of AI competencies for students and teachers for school education. These will be launched during the Digital Learning Week, which will take place at UNESCO Headquarters in Paris on 4-7 September 2023. The UNESCO Global Education Monitoring Report 2023 to be published on  26 July 2023 will focus on the use of technology in education. Artificial Intelligence tools open new horizons for education, but we urgently need to take action to ensure we integrate them into learning systems on our terms. That is the core message of UNESCO’s new paper on generative AI and the future of education. In her think piece, UNESCO Assistant Director-General for Education, Stefania Giannini expresses her concerns that the checks and balances applied to teaching materials are not being used to the implementation of generative AI.</p>
<h2>Integrating Generative AI into Higher Education: Considerations</h2>
<p>Generative AI (GenAI) is a type of Artificial Intelligence that can create a wide variety of data, such as images, videos, audio, text, and 3D models. It does this by learning patterns from existing data, then using this knowledge to generate new and unique outputs. GenAI is capable of producing highly realistic and complex content that mimics human creativity, making it a valuable tool for many industries such as gaming, entertainment, and product design. Recent breakthroughs in the field, such as GPT (Generative Pre-trained Transformer) and Midjourney, have significantly advanced the capabilities of GenAI. These advancements have opened up new possibilities for using GenAI to solve complex problems, create art, and even assist in scientific research.</p>
<p><b>Yakov Livshits</b><br />Founder of the DevEducation project<br />A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.</p>
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<h3>Michigan schools are rethinking artificial intelligence in the classroom &#8211; Detroit News</h3>
<p>Michigan schools are rethinking artificial intelligence in the classroom.</p>
<p>Posted: Mon, 18 Sep 2023 03:03:58 GMT [<a href='https://news.google.com/rss/articles/CBMilQFodHRwczovL3d3dy5kZXRyb2l0bmV3cy5jb20vc3RvcnkvbmV3cy9lZHVjYXRpb24vMjAyMy8wOS8xNy9taWNoaWdhbi1zY2hvb2xzLXJldGhpbmtpbmctY2hhdGdwdC1hcnRpZmljaWFsLWludGVsbGlnZW5jZS1wb2xpY2llcy1jbGFzc2VzLzcwNTc3MjU2MDA3L9IBAA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>Generative AI can assist in creating new teaching materials, such as questions for quizzes and exercises or explanations and summaries of concepts. This can be especially useful for teachers who need to create a large amount and a variety of content for their classes. By using AI, it is possible to create modified or brand-new content from the original content. AI-based systems can leverage such information to generate customized curriculum that is more likely to engage each student and help them reach their potential. Study author Tuan Nguyen says generative AI is unlikely to heal the problem, which is related to poor pay and working conditions, and a perceived lack of prestige, not just working long hours.</p>
<h2>Ask the expert: How to navigate AI and social media in education</h2>
<p>Consequently, it offers more engagement and interactive  courses, improving students’ learning experience. It offers text-to-speech or speech-to-text generations on desktops or on online use.1 This kind of generative AI tools in education are especially useful for children <a href="https://deveducation.com/en/about/">Yakov Livshits</a> with learning disabilities such as dyslexia or ADHD. When a child suffers from a lack of concentration due to such disorders, it can be harder to follow course contents via reading. However with such tools, they can generate texts into speech notes when they are bored.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="305px" alt="generative ai in education"/></p>
<p>We haven’t been asked for our consent, so we haven’t had a chance to opt out. We might still have some of those chances, but this is a wildly  unregulated technology right now. Writing is a wonderful mode of learning even without creating a text that you would show to anyone else.</p>
<p>“AI tools can potentially save teachers time and can even help teachers target and individualize their instruction, but at this point, I don’t think they are going to change the teacher labor market,” says Nguyen. All those companies claim generative AI can fight teacher burnout at a time when many educators are leaving the profession. The US is short of about 30,000 teachers, and 160,000 working in classrooms today lack adequate education or training, according to a recent study by Kansas University’s College of Education. Tim Ballaret once dreamed of becoming a stockbroker but ultimately found fulfillment helping high school students in south Los Angeles understand the relevance of math and science to their daily lives. But making engaging class materials is time-consuming, so this spring he started experimenting with generative AI tools.</p>
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<h3>Purdue Global: Don&#8217;t fear generative AI tools in the classroom &#8211; purdue.edu</h3>
<p>Purdue Global: Don&#8217;t fear generative AI tools in the classroom.</p>
<p>Posted: Tue, 29 Aug 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMicmh0dHBzOi8vd3d3LnB1cmR1ZS5lZHUvbmV3c3Jvb20vcmVsZWFzZXMvMjAyMy9RMy9wdXJkdWUtZ2xvYmFsLWRvbnQtZmVhci1nZW5lcmF0aXZlLWFpLXRvb2xzLWluLXRoZS1jbGFzc3Jvb20uaHRtbNIBAA?oc=5' rel="nofollow">source</a>]</p>
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<p>Above all else, we must ensure generative AI systems are designed and programmed to be inclusive and equitable for all users. But Generative AI is not without challenges just like any other emerging technology. However, it does require a considerable amount of training data required to generate outputs, else the output may turn out to be subpar or not good. But with the time  that can be tackled, an enormous amount of work needs to go into securing the data to avoid any type of privacy concerns. But there will always remain a nagging concern of potential technology misuse by fraudulent people to create fake videos, spammy content and misleading news. From there we need to consider how educational systems need to adapt at multiple levels.</p>
<p>Artykuł <a href="https://lingua-house.com.pl/generative-ai-and-the-future-of-education-ragnarok/">Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators</a> pochodzi z serwisu <a href="https://lingua-house.com.pl">Lingua-house.com.pl</a>.</p>
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		<title>Top 9 Generative AI Applications and Tools</title>
		<link>https://lingua-house.com.pl/top-9-generative-ai-applications-and-tools/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Mon, 15 May 2023 16:00:57 +0000</pubDate>
				<category><![CDATA[AI News]]></category>
		<guid isPermaLink="false">https://www.lingua-house.com.pl/?p=2185</guid>

					<description><![CDATA[<p>Amazon debuts generative AI tools that helps sellers write product descriptions Transformer-based models are a class of AI models that excel in natural language processing and text generation tasks due to their ability to understand relationships between sequential data. These models have been trained on large datasets to comprehend the structure and context of language, [&#8230;]</p>
<p>Artykuł <a href="https://lingua-house.com.pl/top-9-generative-ai-applications-and-tools/">Top 9 Generative AI Applications and Tools</a> pochodzi z serwisu <a href="https://lingua-house.com.pl">Lingua-house.com.pl</a>.</p>
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										<content:encoded><![CDATA[<h1>Amazon debuts generative AI tools that helps sellers write product descriptions</h1>
<p>Transformer-based models are a class of AI models that excel in natural language processing and text generation tasks due to their ability to understand relationships between sequential data. These models have been trained on large datasets to comprehend the structure and context of language, making them particularly proficient in tasks such as machine translation and question answering. Generative AI is no longer just a concept reserved for science fiction; it is becoming an integral part of our daily  lives, shaping the way we interact with technology and the world around us. From customer support systems to software development, generative AI has the potential to streamline processes, improve efficiency, and generate valuable insights across a wide range of industries. But how does it work, and what are the key models and techniques that drive its power? Generative AI development services are specialized agencies or companies that provide expertise in creating custom Generative AI solutions.</p>
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<h3>How CBRE Group is using generative AI in commercial real estate &#8211; The Dallas Morning News</h3>
<p>How CBRE Group is using generative AI in commercial real estate.</p>
<p>Posted: Mon, 18 Sep 2023 10:31:16 GMT [<a href='https://news.google.com/rss/articles/CBMikAFodHRwczovL3d3dy5kYWxsYXNuZXdzLmNvbS9idXNpbmVzcy9yZWFsLWVzdGF0ZS8yMDIzLzA5LzE4L2hvdy1jYnJlcy10b3AtdGVjaC1leHBlcnQtdGhpbmtzLWFpLWNvdWxkLWNoYW5nZS10aGUtY29tbWVyY2lhbC1yZWFsLWVzdGF0ZS1pbmR1c3RyeS_SAZ8BaHR0cHM6Ly93d3cuZGFsbGFzbmV3cy5jb20vYnVzaW5lc3MvcmVhbC1lc3RhdGUvMjAyMy8wOS8xOC9ob3ctY2JyZXMtdG9wLXRlY2gtZXhwZXJ0LXRoaW5rcy1haS1jb3VsZC1jaGFuZ2UtdGhlLWNvbW1lcmNpYWwtcmVhbC1lc3RhdGUtaW5kdXN0cnkvP291dHB1dFR5cGU9YW1w?oc=5' rel="nofollow">source</a>]</p>
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<p>Turing emphasizes the collaboration between human creativity and AI capabilities, ensuring refined and tailored outcomes that drive industries toward remarkable achievements. Talk to our expert today and join 900+ Fortune 500 companies and fast-scaling startups that have trusted Turing for their engineering needs. As we move forward, it is essential to recognize both the potential and limitations of generative AI, embracing its power while understanding the need for human oversight and refinement.</p>
<h2>These 7 AI writing tools will take your content to the next level.</h2>
<p>Ellie is currently available as an extension in Chrome and Firefox, and Gmail is the only fully supported email client. As someone who routinely has to follow style guides, this seems like an incredibly useful feature. I wasn&#8217;t able to test it fully since I don&#8217;t have a personal style guide to input, but Writer correctly fixed things based on all the rules that I set. OpenAI has been less than transparent about exactly what data was used to create the various versions of GPT-3 and GPT-4, and it&#8217;s facing various lawsuits over the use of copyrighted material in its training dataset. No one is really denying that protected materials—potentially from pirated databases—were used to train GPT; the question is just whether or not it falls under fair use. When I saw Sudowrite&#8217;s marketing copy, I didn&#8217;t think for a second it would make it onto this list.</p>
<p>📽️ Video Templates – Seamlessly access a collection of video templates tailored to different use cases, including learning and development, sales enablement, internal communications, marketing, and more. Step into the future of video production and content creation with Synthesia AI, an innovative technology that has redefined the boundaries of visual storytelling. Training data for ChatGPT encompasses a diverse range of sources, including man pages, internet phenomena, and programming languages. This  comprehensive dataset equips ChatGPT with a broad understanding of various domains, allowing it to generate contextually relevant and engaging responses.</p>
<h2>Deepsync</h2>
<p>Most of the apps on this list are aimed at professionals, businesses, and anyone else with a budget. The Jasper, Copy.ai, and Anyword plans I considered all started at $49/month. That isn&#8217;t exactly a hobbyist-friendly sum of money, so if you want to explore AI text generators without spending as much, give Rytr a go. If you have a business and budget isn&#8217;t your primary concern, Jasper should be one of the first apps you try. It&#8217;s pivoted to mostly focus on marketing campaigns rather than just generating generic AI content. That&#8217;s not a bad thing, but it means that plans now start at $49/month for individual creators and $125/month for teams.</p>
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" width="300px" alt="generative ai tool"/></p>
<p>Generative AI is a powerful tool for streamlining the workflow of creatives, engineers, researchers, scientists, and more. Over 7 years of work we&#8217;ve helped over 150 companies to build successful mobile and web apps. Being in the app and AI development space for years, Uptech is known for striving to help startups and global companies adopt state-of-the-art technologies at a reasonable cost.</p>
<h2>What AI tools are you looking for?</h2>
<p><b>Yakov Livshits</b><br />Founder of the DevEducation project<br />A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.</p>
<p></p>
<p>These outputs often have their own unique style and can even be hard to distinguish from human-created works. Generative AI has a wide range of applications in fields such as of art, entertainment, marketing, academia, and computer science. Generative AI technology has evolved significantly over the years, driven by advancements in machine learning techniques and the availability of large datasets. One of the groundbreaking developments in this field is the Generative Adversarial Network (GAN), which consists of two neural networks—the generator and  the discriminator—working in tandem to create realistic outputs. GANs have enabled the creation of high-quality images, videos, and even deep-fake content.</p>
<ul>
<li>If you&#8217;re churning out low-stakes copy variations for your product listings, you likely won&#8217;t see much improvement.</li>
<li>Additionally, Zeno ChatGPT allows for persona cus