Established in 2000 as an early-stage venture capital arm of SoftBank Group, SBVA has a storied history of empowering extraordinary entrepreneurs across the globe. In 2023, we joined forces with The Edgeof, a global startup ecosystem builder founded by Taizo Son, JP Lee, and Atsushi Taira and began our new chapter as an independent entity with a renewed commitment to fostering innovation and technological advancement.

SBVA

Company K Partners Limited is a principal investment firm specializing in investments in culture content, electronic components, computer, machinery, broadcasting, arts, sports, and leisure industries. The firm primarily invests in South Korea with a focus in Seoul, Gyeongnam, and Gyeonggi. Company K Partners Limited was established in 2006 and is based in Gyeonggi-do, South Korea.

Company K Partners

Stonebridge Capital is a venture capital and private equity fund management firm that specializes in alternative investments. Stonebridge Capital experts have established and managed a total of ten funds, each of which has produced consistent investment performance, which is only possible due to the management's industry expertise and thorough risk control management.

Stonebridge Capital

Premier Partners (프리미어 파트너스) is a Korean domestic funds management company. It provides investment services for individuals and businesses. Premier Partners was established in September 2005 in Seoul, Korea.

Premier Partners

VC Firm focused on lasting partnerships with entrepreneurs Sazze is a word that describes the student and teacher relationship. We believe that true partnerships are built on this relationship and that we are all students and teachers in different contexts. At Sazze Partners we aren't investors, we are entrepreneurs. Our core competencies aren't leading board meetings and hosting networking events, though we like to think we do these things just fine, rather we are experts at the mundane tactical skills that propel businesses to success. These skills include things like SEO, product development, and content strategy. In short we are experts at the day to day things that turn good ideas into great businesses.

Primer Sazze Partners

TBT is an Adventure Capital. We are more than your average VC investor; we are always up for an adventure. Investment means more than just transfer of capital for us. We want to be a discussion partner that discovers possibilities beyond risk and aligns growth with progress. We want to share decades of industry knowledge and experience in internet and mobile services to build services and products that can make the world a better place.

SK Networks has created customer values in various business areas. (ICT Marketing) SK is the Korea’s No.1 mobile phone distributor based on the largest sales network and nationwide distribution system in the domestic market. We also have launched various ICT products to ease customers’ digital life and established the ecosystem of used phone recycling. (Home appliance) SK magic (subsidiary of SK Networks) is a premium kitchen appliance company by introducing the gas oven to the Korean market in 1985, and it is expanding its business area to gas/electric ranges, electric ovens, dishwashers, water purifiers, air purifiers and bidets.  (Rent-a-car) SK rent-a-car (subsidiary of SK Networks) is an automotive company that leads the total automotive after market and runs about 170 nationwide network points and consumes about 20.7% market share.  (Trading) With 28 global out posts, our trading business is expanded all over the world. Through international experience amassed over more than 50 years, we have secured outstanding global sourcing ability, market intelligence and strategic networking on steel/chemical/automotive industries around the world that gives us a distinct competitive edge and stable profit structure. (Hotel) Walkerhill Hotels & Resorts is a pioneer of the Korean hotel industry that provides the best experience in the overall lifestyle including leisure, culture, and food, as well as comfortable rest in the nature. (Investments) SK Networks is looking for investment opportunities that can bring disruptive innovation to its existing businesses. Since 2018, SK Networks has been actively investing in Venture Capitals/Start-ups mostly in Silicon Valley and in Korea as well.

SK Networks

The Korea Development Bank (KDB) provides long-term financing for projects designed to assist Koreaâ€:tm:s economic growth and development. It offers equipment capital loans and working capital loans to Korean private enterprises that undertake major industrial projects. The bank also extends guarantees to its clients to facilitate their other borrowings and to finance major industrial projects. KDB guarantees Won-denominated corporate debentures, local currency loans, and other Won liabilities and foreign currency loans from domestic and overseas Korean financial institutions and from foreign institutions. The bankâ€:tm:s other activities include engagement in a range of industrial development activities, including conducting economic and industrial research; performing engineering surveys; providing business analyses and managerial assistance; and offering trust services. As of June 30, 2007, KDB had 40 local branches, 6 overseas branches, and 2 overseas offices. The bank was founded in 1954 and is headquartered in Seoul, South Korea.

Korea Development Bank

A fundamental investment philosophy of ‘Building on principles’ guides us at Mirae Asset. Over the years, these principles have enabled us to become Asia’s premier financial group and created new trends in the Asian capital market.  Above all, we put our clients’ interests first, always adhering to high ethical standards. Because our success clearly comes from their success, we use fundamental investment principles to identify opportunities that generate value and lasting profits.  We are strong believers in teamwork and are determined to recruit the best and brightest people as we open new horizons in Asia and expand globally. Just as we strive to continually improve our own performance, Mirae Asset is committed to helping every community it joins.  On behalf of the entire Mirae Asset Financial Group, I would like to convey the sense of responsibility your trust in us merits and pledge to do all that we can to exceed your expectations.

Mirae Asset Venture Investment

Industrial Bank of Korea (IBK) is committed to honoring its charter of financing small and medium sized enterprises (SMEs). The Bank has extended the scope of its expertise to provide a comprehensive range of financial services to individual customers in a quest to emerge as a leading financial services group. In pursuit of that goal, IBK is making every effort to enhance its competitiveness, achieve balanced growth and strengthen its global presence.  The Bank employs around 10,000 staff and operates a distribution network of 612 branches including 12 overseas branches. Providing complementary services, the Bank also operates several subsidiaries: IBK Capital Corporation, IBK-SG Asset Management, IBK System Co., Ltd., and IBK Credit Information Corporation. In 2008, IBK Investment & Securities was launched, focused on meeting the needs of SME customers for services such as IPOs and M&As. Moreover, strategic alliance with Korea Investment Holdings enhances product competitiveness and affiliation with the National Post Office promoting easy customer access to IBK banking services.

Industrial Bank of Korea

Shinhan Venture Investment operates as an investment company. Shinhan Venture Investment focuses on earlier-stage venture capital investments and later-stage control investments opportunities derived from the latest megatrends such as the aging population, disruptive technologies, IT convergence, alternative energy and etc.

Shinhan Venture Investment

Hana Ventures is a corporate venture capital of Hana Financial Group.

Hana Ventures

KT is a telecommunication company that provides ICT-based telecommunications and convergence services.

Upstage AI

Upstage AI is a provider of customized AI services designed to help businesses with artificial intelligence. The company delivers AI models based on the demands of the business to address the customer's core activities while also improving the efficiency and progress of the business process, allowing clients to solve problems and meet the company's AI innovation goals.

South Korea-based Upstage specializes in the development of LLMs. The company’s flagship, LLM Solar, is claimed to be fast, cost-efficient, and powered by the Depth-Up Scaling (DUS) technique with its ability to scale LLMs efficiently. The LLMs can be customized for various use cases, including healthcare, customer support, finance, insurance, ecommerce, law, and media. The model is available on-premise, and API integration through platforms like Amazon SageMaker JumpStart. The company also offers a Document AI solution, an AI-powered OCR (optical character recognition) technology to automate workflows and process unstructured data.

Foundation Models

Upstage

Amazon Web Services

To expand its generative AI capabilities globally, Upstage has partnered with AWS, leveraging their cloud technologies and joining the AWS ISV Accelerate Program to enhance the reach of its SOLAR large language model.

Foundation models that can handle a range of natural language processing (NLP) use cases. Typical tasks include generating summaries, translating, answering questions, and classifying text. These models typically use text inputs and generate text outputs.

Flitto

To create an AI-based dataset that can handle under-resourced Asian languages. The partnership aims to develop LLMs in Japanese, Thai, Lao, and Khmer.

Amazon Web Services (AWS) has launched Upstage's SOLAR MINI Small Language Model (SLM) on its cloud platform. SOLAR MINI facilitates tasks such as understanding, summarizing, translating, and predicting content, allowing customers to utilize generative AI without the need for extensive model training.

LG Electronics

Under the agreement, the two parties will develop small language models (SLMs) for LG's on-device AI features and AI services on LG notebooks.

South Korea-based Upstage specializes in the development of LLMs. The company’s flagship, LLM Solar, is claimed to be fast, cost-efficient, and powered by the Depth-Up Scaling (DUS) technique with its ability to scale LLMs efficiently. The LLMs can be customized for various use cases, including healthcare, customer support, finance, insurance, ecommerce, law, and media. The model is available on-premise, and API integration through platforms like Amazon SageMaker JumpStart. The company also offers a Document AI solution, an AI-powered OCR (optical character recognition) technology to automate workflows and process unstructured data.In September 2024, the company released the preview of its large language model (LLM) <a href="https://sp-edge.com/updates/33519">Solar Pro</a> with 22 billion parameters.Key customers and partnershipsIn January 2024, Upstage partnered with SK Networks to expand globally and combine Upstage's private language model capabilities with SK Network’s en-core data management services.The company’s product, Document AI, caters to demand in the finance, healthcare, and legal industries, with notable clients like Samsung and Hanwha.In May 2024, <a href="https://sp-edge.com/updates/29352">Upstage signed a memorandum of understanding with Flitto,</a> a provider of translation platform, to create an AI-based dataset that can handle under-resourced Asian languages.In June 2024, Upstage announced a<a href="https://sp-edge.com/updates/30956"> multi-year Strategic Collaboration with Amazon Web Services</a> (AWS) to expand the global reach of its AI offerings (namely its flagship LLM, SOLAR) via AWS’s “ISV Accelerate” co-selling program.

<div>
 
 AI21 is an Israel-based AI research lab developing large language models (LLMs). The firm also builds GenAI applications based on its LLMs, marketing them to businesses and consumers.&nbsp;
 
 
 AI21 launched its first AI model, &ldquo;Jurassic-1,&rdquo; in August 2021, offering two versions. The larger variant, Jurassic-1 Jumbo, contained 178 billion parameters&mdash;three billion more than OpenAI&rsquo;s 175-billion parameter GPT-3 model. Similar to GPT-3, Jurassic is able to write emails and articles, summarize text, compose poetry and recipes, create website layouts, and generate code.&nbsp;
 
 
 The firm concurrently launched AI21 Studio, a platform allowing users to train custom versions of Jurassic-1 and embed them into products via an API.&nbsp;
 
 
 In May 2022, AI21 confirmed it was working on a new AI system, called the &ldquo;modular reasoning knowledge and language&rdquo; or &ldquo;MRKL&rdquo; framework (pronounced &ldquo;miracle&rdquo;). MRKL augments LLMs, connecting to external sources and symbolic reasoning models to enable the generation of accurate historical information, news on current events, and dynamic information, such as weather, exchange rates, and Wikipedia information. This allows models to accurately answer math queries by calling a calculator and navigate more complex questions by breaking down queries into parts. An initial implementation of MRKL, Jurassic-X, is available on AI21 Studio, which allows users to connect LLMs to their own databases and navigate their data using natural language.
 
 
 In March 2023, the firm launched &ldquo;Jurassic-2,&rdquo; a successor to its initial language model. The new LLM differs from Jurassic-1 and most popular LLMs, in that it incorporates semantic reasoning into its text generation processes alongside statistical inference, enabling the model to more reliably and accurately respond to queries.
 
 
 AI21 says this was achieved by training Jurassic-2 in two phases: A traditional self-supervised phase using an extensive corpus of unstructured and unlabeled data and a second phase, involving a large volume of labeled data to teach the model to follow instructions. Jurassic-2 did not initially implement the MRKL framework, although AI21 confirmed it as an upcoming feature.
 
 
 The company claims that its foundation models are 30% more efficient than those of other providers and it also does not charge additional fees for the use of fine-tuned models.
 
 
 
 
 In March 2024,
 <a href="https://sp-edge.com/updates/27995">
 AI21 launched Jamba,
 </a>
 a model that integrates the Mamba Structured State Space model (SSM) technology and transformer components. The company further introduced 
 <a href="https://sp-edge.com/updates/32879">
 Jamba 1.5 Mini and Jamba 1.5 Large
 </a>
 to offer high performance and efficiency for long-context language processing in August 2024. The models have a hybrid architecture combining Transformer and Mamba approaches, allowing for quality responses with large context windows.
 
 
 Key customers and partnerships
 
 
 As of June 2023, AI21&rsquo;s customers include Latitude, Easyway, Verb, Tweet Hunter, and Harambee.
 
</div>

AI21 Labs

UK-based Stability AI is actively involved in building AI applications and offers a range of foundation models, including:Text-to-image modelStable Diffusion (SDXL 1.0): The open-source text-to-image model incorporates a dual network architecture with a 3.5-billion parameter base model and a 6.6-billion parameter refiner. The model was trained on image-caption pairs from the LAION-5B dataset derived from Common Crawl data. It excels in high-quality image generation, spatial object positioning, and complex concept recognition. The model can be fine-tuned for specific tasks using techniques such as embeddings, hypernetworks, and tools like DreamBooth, a deep-learning generation model.<a href="https://sp-edge.com/updates/30420">Stable Diffusion 3 Medium:</a> a text-to-image open-source AI models with 2 billion parameters utilizing a Diffusion Transformer Architecture and can be fine-tuned using small datasets.<a href="https://sp-edge.com/updates/32260">Stable Fast 3D:</a> Text-to-image model generates 3D images from a single 2D image.In November 2023, the company launched <a href="https://sp-edge.com/updates/23352">two new products</a> Sky Replacer and Stable 3D. Sky Replacer lets users manipulate the aesthetic of the sky in their photos from a choice of nine alternatives, enhancing the overall image appeal and Stable 3D aims to simplify the process of creating textured 3D objects, from images or text prompts, into a quick, automatic activity.Text-to-text modelsStable Beluga 1: The instruction-following language model is based on LLaMA 65 billion and has reasoning capabilities.Stable Beluga 2 (FreeWilly): An expansion to Stable Beluga 1, this model is based on LLaMA 70 billion and reportedly ranks near the top of the Open LLM Leaderboard.StableLM is an open-source language model suite; the company has released alpha versions of three billion- and seven-billion parameter models, with 15 to 65 billion-parameter models to follow. It's designed to generate text and code, and can power various downstream applications. <a href="https://sp-edge.com/updates/25750">Stable LM 2 1.6B, </a>an AI language model designed for multiple languages, was released in January 2024.The Japanese StableLM Alpha, is a seven-billion parameter Japanese language model, which claims to have superior performance compared to other publicly available Japanese language models. It offers text generation capabilities and is released under the Apache License 2.0 for commercial use, with an additional research version available for research purposes.StableCode has three billion parameters and is specifically designed to help programmers with coding tasks by providing autocomplete suggestions and responses to programming instructions.Text-to-audio modelStable Audio, which has 907 million parameters, uses a latent diffusion model architecture for audio and is conditioned on various factors including text metadata, audio file duration, and start time. This conditioning allows control over the content and length of the generated audio.Text-to-image model<a href="https://sp-edge.com/updates/26910">Stable Diffusion 3,</a> which has 800 million range and 8 billion parameters and combines a diffusion transformer architecture and flow matching. Additionally, the model can depict multi-subject prompts, create images, and correct spelling. <a href="https://sp-edge.com/updates/30068">Public preview</a> of this model was announced in June 2024.<a href="https://sp-edge.com/updates/26645">Stable Cascade,</a> a text-to-image model developed with a three-phase approach for image creation and modification.Text-to-video model<a href="https://sp-edge.com/updates/24289">Stable Video Diffusion</a>, an AI model designed to produce videos from images, offered as a research preview. The models, SVD and SVD-XT, can generate short, high-quality clips but come with limitations.<a href="https://sp-edge.com/updates/27695">Stable Video 3D (SV3D), </a>a GenAI tool to create 3D videos to create multi-view 3D models from a single input image and can produce short video content from image or text prompts.<a href="https://sp-edge.com/updates/31945">Stable Video 4D,</a> a model that enables users to upload video and obtain dynamic videos from different views.There has been considerable debate about the ethical and copyright implications of using stable diffusion to create images. The model is particularly permissive when it comes to creating different types of content, which has raised concerns about its potential for abuse. In response to its permissiveness, Stability AI has become involved in copyright infringement lawsuits, with artists and Getty Images raising legal objections to the use of their content in the model's training data.In March 2024, <a href="https://sp-edge.com/updates/27872">Stability AI's founder and CEO, Emad Mostaque, resigned from his role </a>and the company's board to focus on the development of decentralized AI to bring transparency and competitiveness to AI.In April 2024, the company made Stable Diffusion 3 and Stable Diffusion 3 Turbo available on the <a href="https://sp-edge.com/updates/28612">Stability AI developer platform API.</a>In May 2024, Stability AI <a href="https://sp-edge.com/updates/29321">introduced Stable Artisan,</a> a tool to enable media generation for Discord users.Key customers and partnershipsIn December 2022, Stability AI entered a partnership with Amazon, with AWS designated as the preferred cloud provider to facilitate the development and expansion of Stability AI's AI models.In March 2024,<a href="https://sp-edge.com/updates/27403"> Stability AI partnered with Tripo AI,</a> a provider of AI 3D models, to release TripoSR for 3D object reconstruction to cater to the demands of entertainment, gaming, industrial design, and architecture professionals, with responsive outputs for visualizing detailed 3D objects.In April 2024, the company<a href="https://sp-edge.com/updates/28612"> partnered with Fireworks AI,</a> a provider of API platforms, to deliver Stable Diffusion 3 and Stable Diffusion 3 Turbo for enterprises.In September 2024, the company <a href="https://sp-edge.com/updates/33262">launched Stable Image Ultra, Stable Diffusion 3 Large, and Stable Image Core</a>, its text-to-image models on Amazon Bedrock.

Stability AI

Cohere is a Canadian startup founded in 2019 by Aidan Gomez, Ivan Zhang, and Nick Frosst, with backgrounds in natural language processing and prior experience at Google Brain. The firm specializes in the development and deployment of large language models (LLMs) for various applications across enterprise and business use cases. Its foundation model, Cohere Command, is a large natural language text generation model with 52.4 billion parameters, focused on task-oriented dialogue, creating summarization, copywriting, dialogue extraction, and question answering.Cohere also provides Cohere Embed, a model designed to generate vector embeddings that capture the essence of text, improving capabilities in search, content moderation, and intent recognition. These embeddings help empower Cohere's multilingual customizable models, which can be fine-tuned to cater to specific use cases and industries. Additionally, Cohere ensures secure deployment options, including private cloud solutions, for added data security and privacy. In November 2023, Cohere unveiled <a href="https://sp-edge.com/updates/23446">Embed V3</a> with advanced capabilities in matching documents to queries, increasing the efficiency of retrieval augmented generation, and reducing the operational costs of LLM applications. In February 2024, the company introduced <a href="https://sp-edge.com/updates/26583">Aya,</a> an open-source LLM that supports 101 languages.According to Stanford University's HELM benchmarks, Cohere's Command model ranks among the highest-performing models available.In March 2024,<a href="https://sp-edge.com/updates/27502"> Cohere released an advanced language model, “Command-R,</a>” for enterprises. The model offers improved performance on retrieval augmented generation (RAG) and tool usage, with longer context windows of up to 128,000 tokens.In April 2024, <a href="https://sp-edge.com/updates/28198">the company released an advanced language model, Command R+</a>, for business applications. The model offers enhanced retrieval augmented generation (RAG) with citation, supports 10 business languages, and automates workflows. Additionally, <a href="https://sp-edge.com/updates/28463">Cohere also released Rerank 3,</a> a model designed to enhance enterprise search and RAG systems. In the same month, <a href="https://sp-edge.com/updates/28509">the company also introduced a private beta for Cohere Compass,</a> a foundation embedding model designed to allow multi-aspect data indexing and searching, and also <a href="https://sp-edge.com/updates/28789">launched a toolkit available for developers to build AI applications</a> faster, offering production-ready applications that can be deployed across cloud providers, with enhanced security and customization options.In May 2024, Cohere introduced <a href="https://sp-edge.com/updates/29350">Command R Fine-Tuning</a> for enhanced performance for business application workload and<a href="https://sp-edge.com/updates/29761"> released Aya 23, </a>a multilingual language model capable of handling 23 languages,available in 8 billion and 35 billion parameters.<a href="https://sp-edge.com/updates/34141">In September 2024</a>, Cohere released updated versions of its APIs for its AI models Chat, Embed, Rerank, and Classify. These updates, collectively called “API V2,” introduced several upgrades to its existing models, including mandatory model version specification in API calls, consolidation of input parameters for Chat API, and improved tool integration capabilities.&nbsp;Key customers and partnershipsIn November 2021, Cohere partnered with Google Cloud to leverage its infrastructure support and TPUs for product development and deployment. Cohere also partnered with other major cloud providers like AWS and Oracle.In March 2024,<a href="https://sp-edge.com/updates/27307"> Cohere partnered with consultancy firm Accenture</a> to integrate its Command model and retrieval augmented generation (RAG) capabilities to offer GenAI solutions for businesses.In April 2024, <a href="https://sp-edge.com/updates/28932">Cohere partnered with Amazon </a>to incorporate Command R+ and Command R to Amazon's cloud platform, Bedrock.In June 2024, the company<a href="https://sp-edge.com/updates/30492"> partnered with Borderless AI,</a> a provider of AI-powered HR solutions, to create tailored AI agents for HR tasks.The company entered into a <a href="https://sp-edge.com/updates/31052">strategic partnership with i-5O,</a> a provider of AI solutions for manufacturing, as part of Cohere's Startup Program and also partnered with <a href="https://sp-edge.com/updates/31590">Fujitsu</a> in July 2024 to develop a Japanese LLM.In September 2024, Cohere <a href="https://sp-edge.com/updates/33458">partnered with Nomura Research Institute (NRI)</a>, a Japanese consulting firm, to develop the NRI Financial AI Platform.

Cohere

Founded in 2022, Hippocratic AI is a healthcare-focused AI model developed by Health GPT. At its core, Hippocratic AI uses a state-of-the-art (SOTA) large language model (LLM) designed to improve healthcare processes, particularly in non-diagnostic tasks. Hippocratic AI aims to differentiate itself from traditional LLMs by prioritizing pre-training with trusted, evidence-based healthcare content rather than the broader Internet. Claimed to be the first safety-focused LLM for healthcare, the model undergoes a unique Reinforcement Learning with Human Feedback process, known as RLHF-HP, which involves working with healthcare professionals to validate its readiness for use. In addition, the model aims to incorporate a compassionate “bedside manner” in its interactions with patients, recognizing the impact of empathy on emotional wellbeing and health outcomes.According to the company, Hippocratic AI outperformed GPT-4 in majority of tests and certifications. Out of 114 evaluations, it outperformed GPT-4 in 105 cases, with a notable margin of +5% in 74 evaluations and +10% in 43 certifications.Key customers and partnerships&nbsp;In August 2023, the company launched the Hippocratic AI Founding Partner Program, an initiative through which the company collaborates with leading healthcare organizations to become founding partners and actively participate in the development and validation of Hippocratic AI's LLM and technology. The program includes establishing use cases, ensuring clinical and patient safety, and contributing to the advancement of healthcare-specific AI applications. In February 2024, these companies began <a href="https://sp-edge.com/updates/27145">beta</a> testing their LLM for non-diagnostic applications in healthcare.In March 2024, <a href="https://sp-edge.com/updates/27696">Hippocratic AI partnered with NVIDIA</a> to develop AI healthcare agents that have low-latency conversational interactions with patients.

Hippocratic AI

<div>
 
 Founded in 2023, GenHealth.ai is a startup focused on advancing healthcare solutions through the use of GenAI. Its proprietary approach involves training a foundation transformer model, known as DOOG-E, on extensive healthcare data, including 50+ million of coded patient claims and clinical information. DOOG-E is a specialized Generative Pre-Trained Transformer (GPT) AI designed for healthcare applications, with 70 million parameters and one billion tokens. Unlike traditional large language models, DOOG-E is a large medical model (LMM) that uses medical events such as ICD, CPT, RxNorm, and LOINC codes as its &quot;language&quot; to predict future sequences of health events based on historical data.
 
 
 The company claims that its LMM, trained on medical data, is less prone to bias and hallucination compared to its GenAI, large language models (LLM), rendering it more dependable for healthcare applications.
 
 
 Funding and financials&nbsp;
 
 
 In July 2023, the company raised USD 13 million in early funding co-led by Craft Venture and Obvious Ventures. It planned to use the funds to support the development and expansion of its LMM for various healthcare applications, including risk adjustment, care management, and financial benchmarking.
 
 
 
</div>

GenHealth

Fine-tuned versions of large language models, which are focused on specific tasks and applications (e.g. code generation, medical event prediction, financial NLP tasks, etc). These are usually developed by training LLMs using custom data and also serve as foundation models that can be developed even further. These models typically use text inputs and can generate text and/or code outputs.

Foundation models that translate visual data based on features and contextual information identified during training. This enables models to interpret images and video, applying those interpretations to predictive or decision-making tasks. Typical tasks include image recognition and classification into categories. These models typically use image and/or video inputs and generate text outputs.

Foundation models that are trained to understand and work with two or more forms of input data (e.g., text and images) to solve problems and complete tasks using both natural language processing and computer vision. These models can also generate outputs across textual and visual modalities. Typical tasks include visual question answering, image captioning, and generating images based on text descriptions. These models typically use text and/or visual inputs and generate text and/or visual outputs.

Foundation models that use big data to suggest or recommend additional products to consumers. These models are designed to predict user-item interaction probabilities and provide recommendations to users. The models are trained to make these inferences based on historical data on customer interactions and non-interactions. These models typically use user features, item features and user interactions as inputs, and generate numeric values like ratings predictions and matching probabilities as outputs.

Foundation models that are capable of automatic speech recognition, transcription in multiple languages, and translation from these languages to English. These are sometimes referred to as audio models. These models typically use speech/audio as inputs and generate text outputs.

Foundation models that transform user text prompts into video clips.

Foundation models that generate music from text descriptions.

All companies within the space are building large AI models

Companies in this space leverage NLP to train LLMs

The hub exclusively covers companies that have built foundation models

All companies within the space can leverage their foundation models for generative AI applications

The technology enables the creation of personalized content

PROMINENT_CATEGORY

<div>
 
 A South Korean startup, Upstage, has released a preview of its large language model (LLM) named Solar Pro. The AI-based model boasts 22 billion parameters and has the capability to operate on a single GPU.
 
 Unique features of the model include a depth-up scaling method, a specifically devised data recipe, the capability of processing English-language input, and a context window of 4,096 tokens.
 
 Upstage's preview is an open-source model and free API access will be available until the model's official launch in November.
 
 The company asserts that Solar Pro outperforms models from largescale tech corporations like Microsoft, Meta, and Google. Included in its performance metrics are Microsoft's Phi 3 Medium, Meta's Llama 3.1 8B, Mistral NeMo 12B, and Google's Gemma 2 27B.

 Additionally, the model is said to have the ability to automate and streamline tasks across various industries, including healthcare, finance, and legal services. It's these capabilities, the company claims, that will result in increased productivity and efficiency in these fields.
 
</div>

Upstage

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