{"id":19758,"date":"2024-08-21T15:52:45","date_gmt":"2024-08-21T08:52:45","guid":{"rendered":"https:\/\/gcloudvn.com\/?p=19758"},"modified":"2024-08-22T08:53:12","modified_gmt":"2024-08-22T01:53:12","slug":"google-is-a-leader-in-the-forrester-wave-ai-foundation-models-for-language-q2-2024","status":"publish","type":"post","link":"https:\/\/gcloudvn.com\/en\/kienthuc\/google-is-a-leader-in-the-forrester-wave-ai-foundation-models-for-language-q2-2024\/","title":{"rendered":"Google is a Leader in The Forrester Wave\u2122: AI Foundation Models for Language, Q2 2024"},"content":{"rendered":"<p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-19764 size-full\" src=\"https:\/\/gcloudvn.com\/wp-content\/uploads\/2024\/08\/Thang-72024-18.jpg\" alt=\"\" width=\"600\" height=\"375\" srcset=\"https:\/\/gcloudvn.com\/wp-content\/uploads\/2024\/08\/Thang-72024-18.jpg 600w, https:\/\/gcloudvn.com\/wp-content\/uploads\/2024\/08\/Thang-72024-18-18x12.jpg 18w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/>M\u1edbi \u0111\u00e2y, Google \u0111\u01b0\u1ee3c vinh danh l\u00e0 nh\u00e0 l\u00e3nh \u0111\u1ea1o trong l\u0129nh v\u1ef1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef AI qua nghi\u00ean c\u1ee9u The Forrester Wave\u2122: AI Foundation Models for Language, Q2 2024. Gemini AI, si\u00eau m\u00f4 h\u00ecnh \u0111a ph\u01b0\u01a1ng th\u1ee9c c\u1ee7a Google, \u0111\u00e3 v\u01b0\u1ee3t qua k\u1ef3 v\u1ecdng v\u00e0 tr\u1edf th\u00e0nh m\u1ed9t trong nh\u1eefng m\u00f4 h\u00ecnh AI m\u1ea1nh m\u1ebd nh\u1ea5t hi\u1ec7n nay. V\u1edbi Gemini, Google \u0111ang mang \u0111\u1ebfn cho c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n c\u00f4ng c\u1ee5 \u0111\u1ec3 t\u1ea1o ra nh\u1eefng \u1ee9ng d\u1ee5ng th\u00f4ng minh, c\u00e1 nh\u00e2n h\u00f3a v\u00e0 s\u00e1ng t\u1ea1o h\u01a1n. \u0110\u00e2y l\u00e0 m\u1ed9t b\u01b0\u1edbc ti\u1ebfn quan tr\u1ecdng trong h\u00e0nh tr\u00ecnh c\u1ee7a Google nh\u1eb1m x\u00e2y d\u1ef1ng m\u1ed9t t\u01b0\u01a1ng lai n\u01a1i AI ph\u1ee5c v\u1ee5 m\u1ecdi ng\u01b0\u1eddi.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-19763 size-full\" src=\"https:\/\/gcloudvn.com\/wp-content\/uploads\/2024\/08\/Thang-72024-19.jpg\" alt=\"\" width=\"600\" height=\"375\" srcset=\"https:\/\/gcloudvn.com\/wp-content\/uploads\/2024\/08\/Thang-72024-19.jpg 600w, https:\/\/gcloudvn.com\/wp-content\/uploads\/2024\/08\/Thang-72024-19-18x12.jpg 18w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/>\u201cGemini is uniquely differentiated in the market especially in multimodality and context length while also ensuring interconnectivity with the broader ecosystem of complementary cloud services.\u201d\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&#8211; The Forrester Wave\u2122: AI Foundation Models for Language, Q2 2024<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">It can be easily seen, <\/span><b>Generative AI (GenAI)<\/b><span style=\"font-weight: 400;\"> is changing the way people interact with technology. Powerful management models are now being harnessed by developers who are capturing the core of the model to build innovative new applications, experiences, and agents for end users. Model refinement is more accessible than ever, requiring just 1% of the data it once did.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For Google, Gemini is a multimodal model, the result of a large-scale collaborative effort by teams including Google DeepMind and Google Research. Built from the ground up to seamlessly combine and understand text, code, images, audio, and video, Gemini models are helping developers create advanced AI agents across virtually every industry.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Gemini is available to customers through Vertex AI, Google Cloud\u2019s fully-managed, unified platform for developing, deploying and monitoring machine learning models at scale. Equipped to support both generative and predictive AI models, Vertex AI enables customers to customize and deploy Gemini and other AI models with <\/span><a href=\"https:\/\/cloud.google.com\/blog\/products\/infrastructure-modernization\/google-named-a-leader-in-the-forrester-wave-ai-infrastructure-solutions-q1-2024?e=48754805\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">enterprise-ready tuning<\/span><\/a><span style=\"font-weight: 400;\"> grounding, monitoring, and inference capabilities, all alongside leading AI infrastructure and easy-to-use tooling to build AI agents.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-19762 size-full\" src=\"https:\/\/gcloudvn.com\/wp-content\/uploads\/2024\/08\/Thang-72024-20.jpg\" alt=\"\" width=\"600\" height=\"375\" srcset=\"https:\/\/gcloudvn.com\/wp-content\/uploads\/2024\/08\/Thang-72024-20.jpg 600w, https:\/\/gcloudvn.com\/wp-content\/uploads\/2024\/08\/Thang-72024-20-18x12.jpg 18w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/>To help you quickly grasp the core information from The Forrester Wave\u2122: AI Foundation Models for Language, Q2 2024 study, Gimasys would like to summarize the following highlights, which will definitely bring you new and interesting perspectives.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/gcloudvn.com\/en\/kienthuc\/google-is-a-leader-in-the-forrester-wave-ai-foundation-models-for-language-q2-2024\/#State-of-the-art_performance\" >State-of-the-art performance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/gcloudvn.com\/en\/kienthuc\/google-is-a-leader-in-the-forrester-wave-ai-foundation-models-for-language-q2-2024\/#Vertex_AI\" >Vertex AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/gcloudvn.com\/en\/kienthuc\/google-is-a-leader-in-the-forrester-wave-ai-foundation-models-for-language-q2-2024\/#Recent_innovations\" >Recent innovations\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/gcloudvn.com\/en\/kienthuc\/google-is-a-leader-in-the-forrester-wave-ai-foundation-models-for-language-q2-2024\/#Cach_khach_hang_doi_moi_voi_cac_mo_hinh_Gemini\" >How customers are innovating with Gemini models<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/gcloudvn.com\/en\/kienthuc\/google-is-a-leader-in-the-forrester-wave-ai-foundation-models-for-language-q2-2024\/#Gimasys_Doi_tac_tin_cay_dong_hanh_cung_ban_tren_hanh_trinh_chuyen_doi_so_voi_AI\" >Gimasys: A trusted partner accompanying you on your digital transformation journey with AI<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"State-of-the-art_performance\"><\/span><b>State-of-the-art performance<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The following Gemini models are available for enterprise customers via Vertex AI:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/console.cloud.google.com\/freetrial\/?redirectPath=%2Fvertex-ai%2Fgenerative%2Fmultimodal%2Fcreate%2Ftext%3Fmodel%3Dgemini-1.5-pro-preview-0514&amp;facet_utm_source=google&amp;facet_utm_campaign=%28organic%29&amp;facet_utm_medium=organic&amp;facet_url=https%3A%2F%2Fcloud.google.com%2Fblog%2Fproducts%2Fai-machine-learning%2Fvertex-ai-io-announcements&amp;_ga=2.269150708.-48678035.1716497822\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Gemini 1.5 Pro<\/span><\/a><span style=\"font-weight: 400;\"> Earlier this year we announced Gemini 1.5 Pro, now GA, providing our customers with an industry-leading, breakthrough context window of 1 million tokens that enables accurate processing across large documents, codebases, or entire videos with a single prompt. For use cases that require an even larger context window \u2014 such as analyzing very large code bases or extensive document libraries \u2014 customers will soon be able to try Gemini 1.5 Pro with up to a 2 million token context window<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/console.cloud.google.com\/freetrial\/?redirectPath=%2Fvertex-ai%2Fgenerative%2Fmultimodal%2Fcreate%2Ftext%3Fmodel%3Dgemini-1.5-flash-preview-0514&amp;facet_utm_source=google&amp;facet_utm_campaign=%28organic%29&amp;facet_utm_medium=organic&amp;facet_url=https%3A%2F%2Fcloud.google.com%2Fblog%2Fproducts%2Fai-machine-learning%2Fvertex-ai-io-announcements&amp;_ga=2.243984768.-48678035.1716497822\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Gemini 1.5 Flash<\/span><\/a><span style=\"font-weight: 400;\">, also now GA, offers our groundbreaking context window of 1 million tokens, but is lighter-weight than 1.5 Pro and designed to efficiently serve with speed and scale for tasks like chat applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Gemini 1.0 Pro: Designed to handle natural language tasks, multiturn text and code chat, and code generation. A new version is generally available with decreased latency and improved quality, along with supervised tuning capabilities.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Gemini 1.0 Pro Vision: Supports multimodal prompts. You can include text, images, and video in your prompt requests and get text or code responses.<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Vertex_AI\"><\/span><b>Vertex AI<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Vertex AI makes it possible to customize and deploy Gemini, empowering developers to build new and differentiated applications that can process information across text, code, images, and video at this time. With Vertex AI, developers can:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Discover and use Gemini, or select from a curated list of more than 130 models from Google, open-source, and third-parties that meet Google\u2019s strict enterprise safety and quality standards. Developers can access models as easy-to-use APIs to quickly build them into applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Customize model behavior with specific domain or company expertise, using tuning tools to augment training knowledge and even adjust model weights when required. Vertex AI provides a variety of tuning techniques including prompt design, adapter-based tuning such as Low Rank Adaptation (LoRA), and distillation. We also provide the ability to improve a model by capturing user feedback through our support for reinforcement learning from human feedback (RLHF).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Augment models with tools to help adapt Gemini Pro to specific contexts or use cases. Vertex AI Extensions and connectors let developers link Gemini Pro to external APIs for transactions and other actions, retrieve data from outside sources, or call functions in codebases. Vertex AI also gives organizations the ability to ground foundation model outputs in their own data sources, helping to improve the accuracy and relevance of a model\u2019s answers. We offer the ability for enterprises to use grounding against their structured and unstructured data, and grounding with Google Search technology.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Manage and scale models in production with purpose-built tools to help ensure that once applications are built, they can be easily deployed and maintained. Customers can evaluate models with Automatic Side by Side (Auto SxS), an on-demand, automated tool to compare models. Auto SxS is faster and more cost-efficient than manual model evaluation, as well as customizable across various task specifications to handle new generative AI use cases.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Build AI agents in a low code \/ no code environment. With Vertex AI Agent Builder, developers across all machine learning skill levels can use Gemini models to create engaging, production-grade AI agents in hours and days instead of weeks and months.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Deliver innovation responsibly by using Vertex AI\u2019s safety filters, content moderation APIs, and other responsible AI tooling to help developers ensure their models don\u2019t output inappropriate content.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Help protect data with Google Cloud\u2019s built-in <\/span><a href=\"https:\/\/cloud.google.com\/transform\/google-cloud-enterprise-ready-generative-ai\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">data governance and privacy controls<\/span><\/a><span style=\"font-weight: 400;\">. Customers remain in control of their data, and Google never uses customer data to train our models. Vertex AI provides a variety of mechanisms to keep customers in sole control of their data including Customer Managed Encryption Keys and VPC Service Controls.<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Recent_innovations\"><\/span><b>Recent innovations\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Ongoing innovation in Vertex AI is designed to bring the best models from Google and the industry alongside an end-to-end model building platform and capabilities to develop and deploy agents faster \u2014 all built on a foundation of scale and enterprise readiness. Recent product innovations include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Batch API, is a super-efficient way to send large numbers of non-latency sensitive text prompt requests, supporting use cases such as classification and sentiment analysis, data extraction, and description generation. It helps speed up developer workflows and reduces costs by enabling multiple prompts to be sent to models in a single request.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Context caching, in public preview this month, lets customers actively manage and reuse cached context data. As processing costs increase by context length, it can be expensive to move long-context applications to production. Vertex AI context caching helps customers significantly reduce costs by leveraging cached data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Controlled generation, coming to public preview later this month, lets customers define Gemini model outputs according to specific formats or schemas. Most models cannot guarantee the format and syntax of their outputs, even with specified instructions. Vertex AI controlled generation lets customers choose the desired output format via pre-built options like YAML and XML, or by defining custom formats. JSON, as a pre-built option, is live.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">LlamaIndex on Vertex AI simplifies the retrieval augmented generation (RAG) process, from data ingestion and transformation to embedding, indexing, retrieval, and generation. Now Vertex AI customers can leverage Google\u2019s models and AI-optimized infrastructure alongside LlamaIndex\u2019s simple, flexible, open-source data framework, to connect custom data sources to generative models.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Genkit, \u0111\u01b0\u1ee3c Firebase c\u00f4ng b\u1ed1, l\u00e0 m\u1ed9t khung Typescript\/JavaScript m\u00e3 ngu\u1ed3n m\u1edf \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 \u0111\u01a1n gi\u1ea3n h\u00f3a vi\u1ec7c ph\u00e1t tri\u1ec3n, tri\u1ec3n khai v\u00e0 gi\u00e1m s\u00e1t c\u00e1c \u0111\u1ea1i l\u00fd AI s\u1eb5n s\u00e0ng s\u1ea3n xu\u1ea5t. Th\u00f4ng qua plugin Vertex AI, c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n Firebase hi\u1ec7n c\u00f3 th\u1ec3 t\u1eadn d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh c\u1ee7a Google nh\u01b0 Gemini v\u00e0 Imagen 2, c\u0169ng nh\u01b0 c\u00e1c nh\u00fang v\u0103n b\u1ea3n.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Grounding with Google Search, now generally available, allows you to connect models with world knowledge, a wide possible range of topics, or up-to-date information on the internet. By grounding Gemini models with Google Search, we offer customers the combined power of Google\u2019s latest foundation models along with access to fresh, high-quality information to significantly improve the completeness and accuracy of responses.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Gemma 2 is the next generation in our family of open models built for a broad range of AI developer use cases from the same technologies used to create Gemini. Gemma 2 models will soon be available in Vertex AI Model Garden.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Imagen 3, coming soon to Vertex AI, is our highest-quality text-to-image generation model yet, able to generate an incredible level of detail and produce photorealistic, lifelike images.<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Cach_khach_hang_doi_moi_voi_cac_mo_hinh_Gemini\"><\/span><b>How customers are innovating with Gemini models<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Vertex AI has seen strong adoption with API requests increasing nearly 6X from H1 to H2 last year. We are really impressed with the amazing things customers are doing with Gemini models particularly because they are multimodal and can handle complex reasoning so well.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Samsung: Samsung recently announced that their Galaxy S24 series is the first smartphone equipped with Gemini models. Starting with Samsung-native applications, customers can take advantage of summarization features across Notes and Voice Recorder. Samsung is confident their end users are protected with built-in security, safety, and privacy in Vertex AI.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Jasper: Jasper, an AI marketing platform that enables enterprise marketing teams to create on-brand content and campaigns at scale, is using Gemini models to quickly generate marketing campaign content for their customers. Teams can now move faster while maintaining a high quality bar for content, ensuring it adheres to brand voice and marketing guidelines.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Quora: Quora, the popular question and answer platform, is using Gemini to help power creator monetization on their AI chat platform, Poe, where users can explore a wide-variety of AI-powered bots. Gemini is enabling Poe creators to build custom bots across a variety of use cases including writing assistance, generating code, personalized learning, and more.<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Gimasys_Doi_tac_tin_cay_dong_hanh_cung_ban_tren_hanh_trinh_chuyen_doi_so_voi_AI\"><\/span><b>Gimasys: A trusted partner accompanying you on your digital transformation journey with AI<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">With extensive experience and a team of experienced experts, Gimasys and Google have supported many large and small businesses in successfully implementing AI solutions, including:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>20 \/ 5.000\nBuilding AI models:<\/b><span style=\"font-weight: 400;\"> Customize AI models to suit the specific needs of each business.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Solution implementation:<\/b><span style=\"font-weight: 400;\"> Integrate AI solutions into existing business systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Strategic Consulting:<\/b><span style=\"font-weight: 400;\"> Come up with the right AI strategy to achieve business goals.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Gimasys and Google have combined decades of AI research and development experience into building models, hyperscale infrastructure, and Vertex AI capabilities to benefit Google customers. Gimasys is committed to continued research and innovation in the field of AI. If your business needs to learn more about AI and how to improve your business, please contact Gimasys for the most detailed consultation.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>M\u1edbi \u0111\u00e2y, Google \u0111\u01b0\u1ee3c vinh danh l\u00e0 nh\u00e0 l\u00e3nh \u0111\u1ea1o trong l\u0129nh v\u1ef1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef AI qua nghi\u00ean c\u1ee9u The Forrester Wave\u2122: AI Foundation Models for Language, Q2 2024. Gemini AI, si\u00eau m\u00f4 h\u00ecnh \u0111a ph\u01b0\u01a1ng th\u1ee9c c\u1ee7a&hellip;<\/p>","protected":false},"author":2,"featured_media":19764,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1,135],"tags":[],"class_list":["post-19758","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kienthuc","category-google-cloud-platform","entry","has-media"],"_links":{"self":[{"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/posts\/19758","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/comments?post=19758"}],"version-history":[{"count":0,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/posts\/19758\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/media\/19764"}],"wp:attachment":[{"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/media?parent=19758"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/categories?post=19758"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gcloudvn.com\/en\/wp-json\/wp\/v2\/tags?post=19758"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}