{"id":9958,"date":"2023-06-13T16:29:46","date_gmt":"2023-06-13T07:29:46","guid":{"rendered":"http:\/\/kingsman-f1.com\/?p=9958"},"modified":"2023-09-26T22:31:39","modified_gmt":"2023-09-26T13:31:39","slug":"market-insight-understanding-the-rapidly-evolving","status":"publish","type":"post","link":"https:\/\/kingsman-f1.com\/?p=9958","title":{"rendered":"Market Insight: Understanding The Rapidly Evolving Landscape Of Generative AI"},"content":{"rendered":"<div id=\"toc_container\" class=\"no_bullets\"><p class=\"toc_title\">\ubaa9\ucc28<\/p><ul class=\"toc_list\"><li><a href=\"#The_Generative_AI_Market_Map_335_vendors_automating_content_code_design_and_more\">The Generative AI Market Map: 335 vendors automating content, code, design, and more<\/a><ul><li><ul><li><a href=\"#Exploring_AI8217s_future_Generative_AI_challenges_and_what_lies_ahead_8211_SiliconANGLE_News\">Exploring AI&#8217;s future: Generative AI challenges and what lies ahead &#8211; SiliconANGLE News<\/a><\/li><\/ul><\/li><li><a href=\"#Search_Internet\">Search: Internet<\/a><\/li><li><a href=\"#gt_Gaming_Applications\">&gt; Gaming Applications<\/a><ul><li><a href=\"#Generative_AI_Market_Size_Landscape_Industry_Analysis_Business_8230_8211_Digital_Journal\">Generative AI Market Size, Landscape, Industry Analysis, Business &#8230; &#8211; Digital Journal<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/div>\n<h1><span id=\"The_Generative_AI_Market_Map_335_vendors_automating_content_code_design_and_more\">The Generative AI Market Map: 335 vendors automating content, code, design, and more<\/span><\/h1>\n<p>The ten principles used by Anthropic are based on the concepts of beneficence, non-maleficence, and autonomy. Claude is capable of a variety of conversational and text-processing tasks, such as summarization, search, creative and collaborative writing, Q&amp;A, and coding. It is easy to converse with, more steerable, and takes directions on personality, tone, and behavior.<\/p>\n<p>For example, in a supply chain context, generative AI could provide an audio interface for workers in a warehouse distribution center. Workers could interact with the NLI through a headset connected to a manufacturer&#8217;s ERP system to navigate a packed warehouse, find specific items, and reorder materials and supplies. In addition, generative AI has many applications, such as music, art, gaming and healthcare, that make it more attractive to the broader population. Games and entertainment media can certainly benefit from this advancement, but the impact these models will have on virtual reality (VR) and augmented reality (AR) technology \u2014 the metaverse \u2014 is what many people are most anxiously awaiting.<\/p>\n<div style='border: grey solid 1px;padding: 14px'>\n<h3><span id=\"Exploring_AI8217s_future_Generative_AI_challenges_and_what_lies_ahead_8211_SiliconANGLE_News\">Exploring AI&#8217;s future: Generative AI challenges and what lies ahead &#8211; SiliconANGLE News<\/span><\/h3>\n<p>Exploring AI&#8217;s future: Generative AI challenges and what lies ahead.<\/p>\n<p>Posted: Fri, 15 Sep 2023 21:40:47 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMibWh0dHBzOi8vc2lsaWNvbmFuZ2xlLmNvbS8yMDIzLzA5LzE1L2V4cGxvcmluZy1haXMtZnV0dXJlLWdlbmVyYXRpdmUtYWktY2hhbGxlbmdlcy1saWVzLWFoZWFkLWdvb2dsZWNsb3VkbmV4dC_SAQA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p>Their high-performance, secure, and customizable language models work on public, private, or hybrid clouds to ensure data security and exceptional support. Cohere&#8217;s generative AI tools allow users to write product descriptions, blog posts, articles, and marketing copy. Organizations have integrated generative AI (GenAI) into their operational setup to accelerate code creation, refine code structures, elevate code quality, and deliver personalized customer experiences. By harnessing GenAI, application developers tackle issues by capitalizing on the technology\u2019s ability to automate tasks, drive creativity, and deliver innovative solutions. Large language models (LLMs) like OpenAI\u2019s GPT-4 and Google\u2019s PaLM 2 are specific closed source foundation models that focus on natural language processing. They have been fine-tuned for applications like chatbots, such as ChatGPT and Bard.<\/p>\n<h2><span id=\"Search_Internet\">Search: Internet<\/span><\/h2>\n<p>Prominent networking technologies for AI workloads, such as InfiniBand and Ethernet, are complemented by high-bandwidth interconnects like NVLink (developed by NVIDIA). Together, these technologies provide solutions that enable connections between both internal and external components of AI clusters. Their coordination ensures efficient data transfer across cloud data centers, with high throughput and minimal latency.<\/p>\n<p>In 2018, they released the open-source PyText, a modeling framework focused on NLP systems. Then, in August 2022, they announced the release of BlenderBot 3, a chatbot designed to improve conversational skills and safety. In November 2022, Meta developed a large language model called Galactica, which assists scientists with tasks such as summarizing academic papers and annotating molecules and proteins. Fundamentally, a generative AI for NLP applications will process an enormous corpus on which it has been trained and respond to prompts with something that falls within the realm of probability, as learnt from the mentioned corpus. Different model architectures, such as diffusion models and Transformer-based large language models (LLMs), can be employed for generative tasks such as image and language generation. While today\u2019s generative models are built upon a decade of progress, 2022 was the year when generative AI triggered an \u201cAha!<\/p>\n<h2><span id=\"gt_Gaming_Applications\">&gt; Gaming Applications<\/span><\/h2>\n<p>I\u2019ll go back to \u201cwriting 40% of people&#8217;s code\u201d example \u2014 that is phenomenal both technological progress as well as economic value delivery. My hope is actually that by putting out this landscape, we plant that seed and a lot of future founders that have been trying to figure out what to build next, I think it&#8217;s wonderful to draw them to this. If I was a founder in [Y Combinator] right now, I would 100% be pointing my guns at one of these models and seeing what I can do. The growth in the amount of data available for training AI models is also a significant factor in their development. The widespread use of tools, software, and devices that generate data, such as smartphones and social media, has created a vast pool of training data. Plugins are software add-ons&nbsp;(modules or components) that extend the functionality of existing software.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='margin-left:auto;margin-right:auto' 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\" width=\"302px\" alt=\"the generative ai application landscape\" \/><\/p>\n<p>By putting good governance in place about who has access to what data and where you want to be careful within those guardrails that you set up, you can then set people free to be creative and to explore all the data that&#8217;s available to them. Donna Goodison (@dgoodison) is Protocol&#8217;s senior reporter focusing on enterprise infrastructure technology, from the &#8216;Big 3&#8217; cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker &amp; Tradesman after toiling at weekly newspapers.<\/p>\n<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\u2019s 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>\n<p><\/p>\n<p>This presents a tremendous opportunity that innovation in fintech can solve by speeding up money movement, increasing access to capital, and making it easier to manage business operations in a central place. Fintech offers innovative products and services where outdated practices and processes offer limited options. The latest machine learning and deep learning techniques allow us to train models to create new and original content.<\/p>\n<p>Creative industries, such as graphic design and video production, are benefiting from AI-generated content, automating tedious tasks and fostering creative collaborations between human designers and AI algorithms. In customer service and contact centers, generative AI-powered chatbots provide efficient  and personalized support, enhancing customer experiences. Moreover, generative AI is transforming the entertainment industry, driving the creation of lifelike virtual avatars and dynamic storytelling experiences. OpenAI, the company behind the GPT models, is an AI research and deployment company.<\/p>\n<p>When we look across the Intuit QuickBooks platform and the overall fintech ecosystem, we see a variety of innovations fueled by AI and data science that are helping small businesses succeed. For example, fintech is enabling increased access to capital for business owners from diverse and varying backgrounds by leveraging alternative data to evaluate creditworthiness and risk models. This can positively impact all types of business owners, but especially those underserved by traditional financial service models.<\/p>\n<ul>\n<li>And then I&#8217;d be like, \u201cSpecifically for image generation, you can think of it as \u2026.\u201d That human-machine iteration loop I hadn&#8217;t experienced before, and it was very much how we created both the blog post and landscape.<\/li>\n<li>It became a wholly owned subsidiary of Alphabet Inc., in 2015 after its acquisition by Google in 2014.<\/li>\n<li>They also support model versioning akin to code repositories, allowing for the accessibility of previous versions of models even as they are updated and improved.<\/li>\n<li>As we look ahead to the future, the landscape of generative AI holds even greater potential, with advancements poised to reshape the way we interact with technology and unlock novel applications across diverse domains.<\/li>\n<li>In customer service, generative AI powers intelligent chatbots and virtual assistants capable of understanding and responding to customer queries in real-time.<\/li>\n<li>Japanese pharma companies are experts in wet lab research, and are eyeing on taking advantage of high-performance computing and generative AI on a large scale.<\/li>\n<\/ul>\n<p>This is done through training, where algorithms are supplied with large datasets of output\/input examples to obtain patterns from the input that result in conclusions about the desired output. The multilingual support offered by generative AI tools like ChatGPT for customer service involves using the large language model capabilities of the system to provide support to customers who speak different languages. Conversational AI tools can be trained on a variety of languages, and it can translate messages from one language to another in real-time. By using machine learning algorithms, manufacturers can predict equipment failures and maintain their equipment proactively. These models can be trained on data from the machines themselves, like temperature, vibration, sound, etc.<\/p>\n<p>It was launched for public beta in November 2021 with a focus on privacy and personalization. It offers YouWrite, a text generator, and YouChat, a chatbot with community-built apps and blended LLMs. You.com does not collect users\u2019 personal information and offers personal and private search modes. The search results allow users to create content directly from the search results, building trust and reliability.<\/p>\n<div style='border: black dotted 1px;padding: 14px'>\n<h3><span id=\"Generative_AI_Market_Size_Landscape_Industry_Analysis_Business_8230_8211_Digital_Journal\">Generative AI Market Size, Landscape, Industry Analysis, Business &#8230; &#8211; Digital Journal<\/span><\/h3>\n<p>Generative AI Market Size, Landscape, Industry Analysis, Business &#8230;.<\/p>\n<p>Posted: Thu, 14 Sep 2023 00:24:28 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMilwFodHRwczovL3d3dy5kaWdpdGFsam91cm5hbC5jb20vcHIvbmV3cy9nZXRuZXdzL2dlbmVyYXRpdmUtYWktbWFya2V0LXNpemUtbGFuZHNjYXBlLWluZHVzdHJ5LWFuYWx5c2lzLWJ1c2luZXNzLW91dGxvb2stY3VycmVudC1hbmQtZnV0dXJlLWdyb3d0aC1ieS0yMDMw0gEA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p>This leaves the market with too many data infrastructure companies doing too many overlapping things. The Snowflake IPO (the biggest software IPO ever) acted as a  catalyst for this entire ecosystem. Founders started literally hundreds of companies, and VCs happily funded them (again, and again, and again) within a few months. <a href=\"https:\/\/www.facebook.com\/yasha.livshits\/\">Yakov Livshits<\/a> New categories (e.g., reverse ETL, metrics stores, data observability) appeared and became immediately crowded with a number of hopefuls. Generative AI (see Part IV) has been the one very obvious exception to the general market doom-and-gloom, a bright light not just in the data\/AI world, but in the entire tech landscape.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='margin-left:auto;margin-right:auto' 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\" width=\"308px\" alt=\"the generative ai application landscape\" \/><\/p>\n<p>&#8220;You&#8217;ll be hearing the term copilot a  lot, and I think that&#8217;s the right way to think of it,&#8221; Johnson said. &#8220;This technology will allow everyone to focus on how <a href=\"https:\/\/www.apollo.io\/people\/Yakov\/Livshits\/5c41d93c80f93e3e84823282\">Yakov Livshits<\/a> they can better serve their customers and grow their business.&#8221; Similarly to when classroom technologies have changed in the past \u2014 overhead projectors, anyone?<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ubaa9\ucc28The Generative AI Market Map: 335 vendors automating content, code, design, and moreExploring AI&#8217;s future: Generative AI challenges and what lies ahead &#8211; SiliconANGLE NewsSearch: Internet&gt; Gaming ApplicationsGenerative AI Market Size, Landscape, Industry Analysis, Business &#8230; &#8211; Digital Journal The Generative AI Market Map: 335 vendors automating content, code, design, and more The ten principles &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/kingsman-f1.com\/?p=9958\"> <span class=\"screen-reader-text\">Market Insight: Understanding The Rapidly Evolving Landscape Of Generative AI<\/span> \ub354 \ubcf4\uae30 &raquo;<\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":""},"categories":[1],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Market Insight: Understanding The Rapidly Evolving Landscape Of Generative AI - \uca5c\uc624 2023\ub144 \ubbfc\uc9c0\uc544 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