Generative AI or GenAI has gone from being buzzwords to a mainstay in most people’s work and life. However, not everyone knows how to leverage Gen AI fully. As a matter of fact, it wouldn’t be too farfetched to say that only a handful of people using Gen AI know how to fully utilize it. It’s with this backdrop and the increasing dissenting voice against leveraging Gen AI technologies that Coursera saw fit to launch Gen AI Academy to better inform and educate people to leverage the possibilities that open up with Gen AI.
Coursera’s Gen AI Academy offers courses that cover the basics and more advanced knowledge sets. This has been differentiated into GenAI Academy for Everyone and GenAI Academy for Executives. The former allows you to get the basics, the core principles of Generative AI, its applications and the impact it can have. It will teach you how to leverage Gen AI better for productivity and innovation. On the other hand, Gen AI Academy for Executives builds on the basics and allows team leaders and managers to understand the subject matter better, allowing them to navigate and lead teams around complex matters such as ethics and strategic applications of Gen AI in achieving their team goals.
You know that saying, “Those who can’t do, teach”? That doesn’t apply to Coursera. The company has been developing features and tools for both learners and teachers that leverage this emerging tech. These new experiences, not only make learning more accessible, it also simplifies and optimises workflows.
Jeff Maggioncalda, CEO of Coursera, demonstrating the Course Builder tool during a presentation at the GenAI Academy launch in Malaysia
Coursera’s Course Builder leverages Generative AI to help develop customized courses. The tool helps author and customise courses based on prompts from the user. These prompts can be used to develop everything from course structure, course descriptions, readings, assignments and even glossaries. It will even help authors leverage the modules that are already available from Coursera’s participating world-class industry and academic partners.
Together with this, Coursera is also introducing Coursera Coach in beta. This tool will be available to Coursera for Business, Coursera for Government and Coursera Plus users. It leverages Gen AI to assist in learning. It will be able to provide personalized feedback, answer questions and provide lecture summaries and resources to help users learn. It can even communicate in the local language. Coursera has also made learning more accessible by translating more than 4,400 courses in Simplified Chinese.
Coursera’s GenAI Academy isn’t just launching now. It launched earlier in the year but is now being made available to Malaysia with some localisations and translations to make the courses more accessible. The courses offered in Gen AI Academy are developed in collaboration with industry leaders like AWS, Microsoft, IBM and Google as well as leading education institutions. This lineup with Coursera’s lofty goals to help Malaysia address the emerging need for Generative AI adeptness in the workforce. Upskilling and training to leverage emerging technologies will be crucial for the growth of Malaysia’s Digital Economy.
In a potentially game-changing move, OpenAI, the company behind ChatGPT, is rumoured to be entering the web search arena. It looks like the company wants to challenge Google’s longstanding dominance. A report from The Information suggests that OpenAI has been quietly developing a web search product. The report claims that the information was shared by an anonymous insider.
While details about the project remain unclear, speculation is rife about whether the search tool will be seamlessly integrated into ChatGPT or introduced as a standalone product. OpenAI’s ambitious move into Google’s territory seems to bring a whole new experience to how we navigate the internet with search. If the rumours hold, we might witness a shift from the familiar phrase “Google it” to “OpenAI it”.
However, the authenticity of the claims is yet to be verified. OpenAI, itself, has not officially acknowledged the project. The company has been notoriously vigilant about leaks, even resorting to hiring investigators to address potential insider threats.
According to the insider, OpenAI’s search engine might leverage Microsoft’s Bing for certain functionalities. This makes sense with Microsoft’s substantial investments in OpenAI. Not to mention, Microsoft’s ongoing integration of GPT-based AI into various products like Bing Chat and Copilot.
Open AI search landing page generated with Microsoft Copilot
The move follows OpenAI’s pattern of expanding the capabilities of ChatGPT which was initially limited by a data cutoff or silo. In recent months, OpenAI introduced web browsing features, utilizing Bing’s search capabilities. This strategic partnership with Microsoft suggests a collaborative effort to bring about a more contextual and conversational approach to web search. This approach could potentially surpass traditional keyword-focused engines.
Despite the challenges inherent in competing with Google’s established search dominance, OpenAI’s innovative approach and support from Microsoft may pave the way for a new way of searching. The emergence of a search tool with generative and contextual AI features introduces exciting possibilities for the future of search on the internet. However, we will still need to wait and see as OpenAI is playing its cards very close to its chest.
In an era marked by swift technological progress which is often seen as disruptors to jobs, it’s time to shift our perspective. As the job landscape undergoes transformation, many individuals find themselves standing at a crossroads in the evolving workforce. Instead of fearing obsolescence, people are embracing the new era of technology-enabled learning and reskilling. In Malaysia, 96% of employers are either currently using or planning to use GenAI technology in 2024. This means that employees will now need to further build their skills to keep up with evolving job descriptions. Fortunately, a wide array of online courses, skilling content, AI-guided career counselling, and virtual reality simulations are readily available to assist employees in advancing or pivoting their career paths.
Welcome to the era where technology is spearheading a reskilling and upskilling revolution that transforms careers. To access this, you don’t have to go to a university and attend classes in person – today, there are a variety of options, from online courses to complimentary upskilling apps available to anyone seeking it.
Unlocking the potential of upskilling and reskilling in Southeast Asia
Southeast Asia is one of the fastest-growing economies in the world and is home to the third-largest labour force which is predominantly young. In Malaysia, the labour force makes up 16.97 million persons, indicating that there is an enormous potential for skilled labour. Yet, job participation, skill development and productivity levels are still lagging behind. Over the past decade, labour force participation in some Southeast Asian countries has gradually increased, while others have seen their rates fall significantly. What’s more, high rates of informal employment and a lack of support for older workers has slowed the region’s shift to a knowledge-based economy.
Research by PwC indicates that upskilling and reskilling, with a focus on digital-first capabilities, can potentially boost Southeast Asia’s GDP by 4% by 2030, creating nearly 680,000 new jobs. Importantly, it helps to create an agile and resilient workforce in the face of economic uncertainty and geopolitical strife.
Technology as a learning tool
In light of these circumstances, we urgently need to rethink our approach to upskilling. Lifelong learning programs, utilising technology to deliver online content, offer greater benefits to adults and older professionals seeking fresh challenges beyond the limited courses offered by traditional education institutions. In markets like Malaysia, digital skills are the top focus for employees, with most still prioritising basic digital skills (83.1%).
Technology empowers learners, giving them control and personalisation. This allows them to set their own pace since lectures and materials are pre-recorded, or they can participate in virtual lessons via online platforms such as Jobstreet’s Career Hub powered by seekMax, eliminating the need for in-person attendance. Through online platform learning such as this, the learner will be able to focus on gaining the skills they want to prioritise to be more suited for their next job.
In comparison to full-time universities that emphasise rigorous academics, upskilling and lifelong learning institutions provide easily digestible, bite-sized content for rapid knowledge acquisition. Furthermore, these modern educational models are designed to accommodate busy schedules and shorter attention spans, placing a strong emphasis on accessibility and convenience.
What’s particularly significant is that these accessible platforms empower learners to develop both hard and soft skills. For instance, individuals in today’s workforce can equip themselves with essential skills such as salary negotiation and leadership.
Enhancing the upskilling experience
Once considered staid, lifelong learning platforms are continuously innovating to improve the social aspects of their programs. To do this, many programs promote learning through collaboration and communication. Talent embarking on a lifelong learning journey can engage in group learning activities to interact with course material, forums, quizzes, masterclasses, or online discussions.
With the rise of online communities, it’s easier than ever for a working professional to gain relevant and practical insights from like-minded peers or industry experts who can help them navigate their careers by providing tailored advice.
This is exactly the sort of positive learning environment we’re creating with Jobstreet’s Career Hub powered by seekMAX, SEEK’s free innovative in-app learning and community platform that’s designed for on-the-go learners – with access to a wealth of content as well as industry experts. Since launch, nearly 1 in 3 monthly active users of the Jobstreet platform have already started using seekMAX as a tool to learn new skills and share insights amongst the community.
As the world’s workforce continues to evolve – lifelong learning platforms are crucial to personal growth and professional success. Lean into the opportunities they offer to stay relevant and competitive. The public and private sectors must also encourage this mindset in order to build a future-proof workforce.
Where it was once heavily reliant on customers’ experience through physical interactions, it is now primarily dominated by digital experiences where bots dominate these interactions. From a customer interaction model where nearly every experience the consumer goes through is positive or unique, it is now one where AI and Bots guide consumers coldly through touchpoints. Oftentimes, this paradigm and approach leave customers dissatisfied and irate.
This is where Infobip is now looking to change things by looking at the emerging behavioural trends of consumers. Today’s consumers want things to be faster, more efficient and personalised all while being online. The company is placing their focus on adapting Generative AI into its systems with the intent of providing customers with a more personalized experience shopping online akin to the experience they’ve become accustomed to offline.
Back to Basics – Interactions & Experiences Matter
“…It goes all back to the basics.” That is the overarching theme of the solutions that Infobip is developing. Miguel Turnbull, the Director of Strategic Partnerships at Infobip explains a fundamental shift in the paradigm of customer interactions, “The goal is to bring back personalization and the uniqueness of these interactions to a digital experience. So still, in the comfort of your phone, being able to have the same experience you would have if you physically went to a shop.”
Infobip’s Executives at the recent panel discussion.
This could not be more true with the shift of consumers from buying offline to buying online. A phenomenon that was put into overdrive over the course of the recent pandemic. In fact, the business landscape has changed so drastically we’re seeing the re-emergence of experience-centric behaviours rather than choice and brand-driven ones.
George Ni, Regional Director of Partnerships and Alliances for APAC at Infobip explains, “It is about experiences as Miguel said, but it is also about timely responses meaning that I want it tomorrow, I want it now and how do I quickly get into a particular experience platform? It has evolved that it is no longer a single point-to-point service provision but a single point-to-multi-point or multi-point to multi-point service provision and this is what we call the ecosystem. Meaning that a vendor who must survive in this business today will be required to survive in this greater ecosystem.”
An Omnichannel Solution for a Multifaceted Problem
Infobip is developing solutions that will help businesses leverage business insights and interconnectivity. The mainstay of their offering – the Infobip exchange marketplace – empowers businesses to stay on the ball by democratising the marketplace and allowing businesses to more readily monetize their intellectual properties. Of course, with an open forum like the Infobip marketplace, businesses are also able to collaborate and develop solutions that can then be provisioned.
Infobip’s solution in assisting future partners or businesses in this era of change is by providing an Omnichannel Platform; A platform provides a range of services across channels seamlessly. Together with this, they have also created user-friendly stack automation tools known as SaaS (Software as a service) layers consisting of diverse building blocks or APIs that partners can easily incorporate into their platform.
Conversational Cloud with Generative AI in Forging Lasting Business-Customer Relationships
In leveraging these tools, brands and businesses will be able to leverage their insights to forge lasting relationships – albeit digitally – with their customers. In fact, according to Velid Begovic, Infobip’s Vice President of Revenue in APAC, the cornerstone of this lasting relationship is smoother, more thoughtful and efficient communication between brands and their audiences. This can be achieved by using an emerging technology called the conversational cloud.
Velid Begovic, Infobip’s Vice President of Revenue in APAC, expounded his views on the shift in paradigm and the emergence of the conversational cloud.
He explains, “The rise of conversational cloud, a set of cloud-based solutions facilitating business-customer interactions, is driven by the shift to mobile-first online experiences. Brands are moving beyond reactive social media use to adopt a proactive conversational strategy. WhatsApp for business is gaining traction, especially in regions like Malaysia. Brands are integrating Software as a Service (SaaS) solutions to extend conversations across various channels, including in-app, popular OTT platforms, and traditional communication channels. This shift reflects a broader transformation of transactions into conversations, emphasizing the importance of immediate and responsive communication. Brands embracing a conversational-first approach aim to provide a personalized and outstanding customer experience, setting the stage for success.”
We’re seeing an increase in the importance of these interactions. Platforms such as Meta’s Facebook and Instagram now rate pages and businesses on their responsiveness. While we can use chatbots, Generative AI and conversational cloud are the natural next steps in developing solutions that will allow businesses of any size to forge lasting relationships with their customers.
A Delicate Balance Between Customer Experience (CX) and Customer Service (CS)
It has become more apparent that customer service and customer experience go hand in hand. However, there needs to be a delicate balance between the two; one that is unique to each business but makes all the difference in a world where CX and CS go hand-in-hand. According to a recent McKinsey report, 71% of customers expect relevant and personalized attention from brands and are frustrated by not getting quality responses, especially through online engagements.
Infobip is looking to drive a shift in paradigm to alleviate and turn around the outcomes from these customer interactions. According to Turnbull, “The McKinsey report is unique, as we also have reports from our groups stating that 75% of people are tired of talking to robotised machines.”. He further explains, “In a world of abundant choices and rapid technological advancements, consumers’ impatience is fueled by the vast information and options available. Brands must adapt by promptly delivering information and responding to customer needs, the increasing pace of technological development, using the example of ChatGPT as a trend that gained widespread attention. This technology, integrated into their platform in collaboration with Microsoft, aims to provide a humanized experience through chatbots its why Infobip was the first to integrate their platform ChatGPT technology. By infusing personality into these automated solutions, brands can enhance the consumer-brand relationship. This personalized approach is crucial as brands compete fiercely for customer attention and loyalty.”
At The Edge of A Paradigm Shift, Poised to Lead
It comes as no surprise then that businesses will need to inevitably invest in technologies that will enhance and improve their CX. It would then be prudent for businesses to look at solutions that will not only provide short-term advantages but also long-term outcomes.
Source: Infobip
The Malaysian business landscape has already, albeit defiantly, tapped into this strategy. However, the nation still remains an early adopter of technologies which empower this strategy. This can be seen in both individual and large-scale aspects like governments and businesses. In fact, Malaysia’s speed in moving from a nation depending on cash to a cashless one demonstrates the nation’s willingness to adopt and adapt to technologies in day-to-day business systems.
While Infobip continues to deliver solutions in the form of data centres, SaaS stacks and even advisory, it falls to the businesses themselves to develop policies and approaches that will minimize exposure and keep potential threats at bay. With growing concern among businesses and the general public about data privacy, it would be prudent that businesses then make strides to deploy these technologies tactfully.
Motorola recently made big announcements at Lenovo Tech World 2023, including a new bendable concept phone and a new AI platform called MotoAI.
MotoAI – Motorola’s foray into AI
MotoAI is Motorola’s answer to AI personal assistants and is being developed to power its future PCs and smartphones. The platform is expected to include a variety of AI features, including personalisation unique to the user, a sophisticated personal assistant, and enhanced data privacy.
This AI model will never stop learning and is able to adapt to the user’s habits and preferences over time. This will allow MotoAI to provide users with more helpful suggestions on top of unique personalisation. Naturally, this means there will be enhanced data privacy to give users more control over their data.
It’s unclear when the MotoAI will be fully released to the public, but it will be interesting to see what Motorala has in store in the near future. With how they have been investing heavily into AI and other innovative tech like their bendable phones, it seems like Motorola aims to play in the same leagues as the other big AI players.
Digitalization is affecting more and more businesses, and fashion is no exception. Penjana Kapital Sdn Bhd and Sea Limited (Malaysia) recently worked together to put on Tech in Fashion, an event that showcased fashion-tech innovations.
Penjana CEO, Taufiq Iskandar, addressing the crowd at Tech in Fashion
Textile waste poses a big problem for the environment because old clothes end up in landfills. It is one of the problems that the fashion industry must wrestle with. However, the use of cutting-edge technology is changing the way people buy clothes and making it more environmentally friendly. Four businesses were chosen to show off their new ideas, which included making eco-friendly fabrics, improving the local textile ecosystem, and making affordable clothes for everyday use.
At the showcase, Kloth Circularity Malaysia, Nanotextile Sdn Bhd, Kualesa,andOxwhite showed off how technology has helped them adapt to the times and stay successful. They also showcased sustainable practices during the “Pitch to Runway” workshop.
From left: Founders from Oxwhite, CK Chang; Kloth Circularity, Sarah Kedah; Nanotextile, Thomas Ong; & Kualesa, Haris Kamal.
When it comes to tackling waste, Sarah Kedah, Co-Founder of Kloth Circularity Malaysia, talked about how green technology can revolutionize the textile business. Kloth Circularity Malaysia turned old plastic bottles into valuable raw materials that can be used to make new clothes. By doing this, they have effectively made Kloth Circularity a part of the circular economy by creating a cycle of sustainability that will not only lessen waste but help with the economy as well.
With Generative AI (Gen AI) taking centre stage, it comes as no surprise that some companies have incorporated it into their workflows. Haris Kamal, Co-Founder and Chief Operating Officer, said that Kualesa is using Gen AI and large language models (LLM) to improve marketing efficiency and automate predictive personalised email processes to increase conversion rates.
Entrepreneurs in the fashion industry can do well in this changing world by adopting digitalization, technology, and new ideas. As a tech company and e-commerce enabler, Sea is dedicated to helping sellers on its subsidiary Shopee’s platform. It is widely accepted that buying behaviours are rapidly changing and it is no different for textiles and fashion.
It seems like Generative AI isn’t going anywhere anytime soon. Amazon Web Services, Inc. (AWS) is bringing a whole suite of Generative AI innovations to its services stack. These innovations are set to empower organizations of all sizes, enabling them to develop cutting-edge generative AI applications, enhance employee productivity, and transform their businesses.
Amazon Bedrock Lays the Foundations for Wider Generative AI Applications & Adoption
Leading the charge is Amazon Bedrock, a fully managed service that simplifies the development of generative AI applications. This service offers a variety of foundation models (FMs) from top AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. These FMs are versatile and can be applied to a wide range of use cases, from content creation to drug discovery.
One key challenge for businesses interested in adopting generative AI has been finding the right FM for their specific needs. Amazon Bedrock solves this problem by providing access to a diverse selection of FMs via a single application programming interface (API). It also removes the need for specialised hardware deployments. This streamlines the process and eliminates the complexity of managing multiple models and infrastructures.
Unlocking the Power of Generative AI Through Amazon Titan Embeddings
One of the highlights is the general availability of Amazon Titan Embeddings. This family of models, created and pre-trained by AWS, includes a large language model (LLM) known as Amazon Titan Embeddings. This LLM converts text into numerical representations called embeddings, which are crucial for tasks like search, personalization, and retrieval-augmented generation (RAG).
What sets Amazon Titan Embeddings apart is its ability to support more than 25 languages and handle context lengths of up to 8,192 tokens. This makes it highly versatile and suitable for various applications, from processing single words to entire documents. Its output vectors, boasting 1,536 dimensions, ensure both accuracy and low-latency performance.
Integration with Meta’s Llama 2
In the coming weeks, Amazon Bedrock will also offer Llama 2, Meta’s latest large language model. Llama 2 models come with significant enhancements, having been trained on 40% more data and featuring a longer context length of 4,000 tokens. These improvements make Llama 2 ideal for dialogue-based applications, providing fast responses on AWS infrastructure without the need for complex setup and management.
Securely Customise Amazon CodeWhisperer Suggestions with Your Own Codebase
For developers, Amazon CodeWhisperer has been a game-changer. This AI-powered coding companion is trained on billions of lines of Amazon and publicly available code, making it a valuable tool for improving developer productivity. Now, developers can securely customize CodeWhisperer’s code suggestions using their private codebase, addressing the challenges of working with internal, proprietary code.
This customization capability streamlines the process of finding and incorporating internal code into applications. Developers save time, as they no longer need to manually search through extensive internal code repositories. Additionally, administrators can centrally manage customizations, ensuring adherence to quality and security standards.
Generative Business Intelligence with Amazon QuickSight
Amazon QuickSight, a unified business intelligence (BI) service, is introducing Generative BI authoring capabilities. These capabilities go beyond answering structured queries and allow business analysts to easily create and customize visuals using natural-language commands. Analysts can describe their desired outcome, and QuickSight generates compelling visuals, reducing the time spent on manual tasks like data source identification and visualization creation.
Availability
Amazon Bedrock is now generally available, offering businesses the opportunity to leverage the power of generative AI. Amazon Titan Embeddings is also available, while Llama 2 is set to launch in the next few weeks. Customizations for Amazon CodeWhisperer are coming soon while Generative BI authoring capabilities in Amazon QuickSight are already available on AWS.
VMware Inc. and NVIDIA (NASDAQ: NVDA) are expanding their strategic partnership. Their mission? To ready the multitude of enterprises dependent on VMware’s cloud infrastructure for the imminent generative AI era.
Generative AI, the driving force behind intelligent chatbots, assistants, search engines, and summarization tools, is revolutionizing industries. VMware Private AI Foundation with NVIDIA is designed to democratize this transformation. It offers an integrated solution, seamlessly combining generative AI software with NVIDIA’s advanced accelerated computing, all within VMware Cloud Foundation, optimized for AI applications.
The synergy between generative AI and multi-cloud environments is profound. Enterprise data resides in various locations, including data centres, edge devices, and diverse cloud platforms. VMware and NVIDIA aim to empower enterprises to harness generative AI while preserving data privacy, ensuring security, and retaining control.
Enterprises are in a race to implement generative AI, with the potential to contribute up to a staggering $4.4 trillion annually to the global economy. VMware Private AI Foundation with NVIDIA is stepping in to empower them to expedite this journey. It enables enterprises to customize large language models (LLMs), construct secure and private models for internal use, offer generative AI as a service, and scale inference workloads securely.
With emerging concerns surrounding data privacy and security with deploying Generative AI tools like ChatGPT at an organisational level, VMware Private AI Foundation with NVIDIA empowers organizations to use the full capabilities of Generative AI without the worry of data leaks. Enterprises can deploy AI services close to their data, safeguarding data privacy and ensuring secure access.
It also provides them with diverse options for constructing and running models, including leading OEM hardware configurations without ruling out the potential integration with public clouds. This choice doesn’t come at the expense of performance with NVIDIA’s accelerated infrastructure. It promises performance equal to or even surpassing bare-metal solutions.
When enterprises are ready to scale, they can do so seamlessly and without much hassle. GPU scaling optimizations in virtualized environments facilitate the efficient scaling of AI workloads across multiple nodes. Scaling and implementation costs can also be minimized through VMware Private AI Foundation with NVIDIA. This is thanks to resource optimization and a shared resource environment fostered by the platform. In fact, the platform is built with fast prototyping capabilities with pre-installed frameworks and libraries allowing enterprises to fail quickly and achieve development milestones at an accelerated rate.
Aside from this, the platform will be deployed on performance-optimized NVMe storage and GPUDirect® storage over RDMA for seamless data transfer. Networking performance is also sustained and accelerated with deep integration between vSphere and NVIDIA NVSwitch™ technology ensuring efficient multi-GPU execution.
The platform integrates NVIDIA NeMo, a cloud-native framework simplifying the creation, customization, and deployment of generative AI models. NeMo offers customization frameworks, guardrail toolkits, data curation tools, and pre-trained models. It provides enterprises with an efficient, cost-effective, and expeditious path to adopting generative AI. For production deployment, NeMo leverages TensorRT for Large Language Models (TRT-LLM), optimizing inference performance on the latest LLMs on NVIDIA GPUs.
VMware Private AI Foundation with NVIDIA receives robust support from Dell Technologies, Hewlett Packard Enterprise, and Lenovo. These partners will offer systems equipped with NVIDIA L40S GPUs, NVIDIA BlueField®-3 DPUs, and NVIDIA ConnectX®-7 SmartNICs. These components will supercharge enterprise LLM customization and inference workloads.
VMware aims to release VMware Private AI Foundation with NVIDIA in early 2024, marking the continuation of a decade-long partnership that has optimized VMware’s cloud infrastructure to run NVIDIA AI Enterprise with the performance of bare metal.
Alibaba Cloud has recently introduced two open-source large vision language models: the Qwen-VL and the Qwen-VL-Chat. These models are designed to understand both images and text, making them versatile tools for various tasks in both English and Chinese.
Qwen-VL understands images and texts
The Qwen-VL is an extension of Alibaba Cloud’s own AI Chatbot, Tongyi Qianwen and is capable of comprehending image inputs and text prompts. It works like a smart assistant that can look at pictures and answer open-ended questions about them.
Alibaba Cloud stated Qwen-VL is capable of handling higher-resolution image inputs compared to other open-source models. It can also engage in various visual language tasks, including captioning, question answering, and object detection in pictures.
Qwen-VL-Chat can perform creative tasks
On the other hand, Qwen-VL-Chat takes things a step further by enabling complex interactions. It can perform creative tasks like writing poetry and stories based on input images, summarising the content of multiple pictures, and solving math problems displayed in images.
According to benchmark tests conducted by Alibaba Cloud, Qwen-VL-Chat excels in text-image dialogue and able to answer questions in both Chinese and English
Both open-source models are accessible globally
This is exciting news to the world because Alibaba Cloud is sharing these models with researchers and academic institutions worldwide. Alibaba Cloud made the code, weights, and documentation available for free.
This means more people can use these models for various tasks. Companies with over 100 million monthly active users can also request a licence for commercial use.
These models have the potential to change how we interact with images online. For example, they could assist visually impaired individuals with online shopping by describing products in images.
For more detailed information, you can read the full story on Alizila and find additional details about Qwen-VL and Qwen-VL-Chat on ModelScope, HuggingFace, and GitHub pages. The research paper detailing the model is also available here.
In a bid to simplify the integration of generative AI, Nutanix, a multi-cloud computing company, has unveiled its latest offering, the Nutanix GPT-in-a-Box solution. The company said that the solution is designed to make it easy for businesses to get started with generative AI, even if they do not have a lot of technical expertise.
What is Nutanix GPT-in-a-Box?
The Nutanix GPT-in-a-Box is a generative AI platform. It provides services that assist organisations in configuring hardware and software infrastructure suitable for deploying large language models (LLMs). These models, like generative pre-trained transformers (GPT), are vital for various AI applications.
If you are not very familiar with Generative AI, it is a type of artificial intelligence that can create new content, such as text, images, or music. Generative AI is used in different industries such as customer service, healthcare, marketing and more.
How does it work?
Many organisations and businesses are eager to harness the power of AI but face challenges around data privacy, governance, and the cost of AI infrastructure. Nutanix aims to simplify this process with their GPT-in-a-Box™ solution. It offers a pre-configured environment where businesses can develop and fine-tune AI models while keeping their data secure. Data scientists and administrators can easily work with these models, and the platform can be used for other GPT models.
For businesses looking to adopt generative AI, the Nutanix GPT-in-a-Box solution can be a good option to consider. To learn more about the Nutanix GPT-in-a-Box solution, please visit the Nutanix website.
