by Teknita Team | Jun 7, 2023 | Artificial Intelligence - Machine Learning
Adobe Photoshop, the world’s leading imaging application, has introduced a new feature that uses generative AI to create branding assets and original imagery based on text instructions1. The feature, called Photoshop Generator, allows users to type in phrases such as “a futuristic scarlet tanager bird” and get multiple options of images generated by Adobe’s Firefly generative AI engine. Users can then refine and customize the images using Photoshop’s tools. The feature is designed to help users save time and unleash their creativity by providing them with inspiration and guidance.
What is generative AI and why is it important?
Generative AI is a branch of artificial intelligence that focuses on creating new content or data that did not exist before, such as images, text, music, or video. Generative AI uses deep learning models that learn from large amounts of data and then produce novel outputs based on some input or prompt. Generative AI can be used for various purposes, such as enhancing existing content, generating realistic or surrealistic content, exploring new ideas, or solving problems.
Generative AI is important because it can empower users to create more with less effort and resources, and to express themselves in new and innovative ways. Generative AI can also augment human creativity by providing suggestions, variations, and alternatives that users may not have thought of otherwise. Generative AI can also help users overcome creative blocks or challenges by generating content that matches their intent and vision.
How does Photoshop Generator work and what can you do with it?
Photoshop Generator is a feature that integrates Firefly, Adobe’s family of creative generative AI models, into Photoshop. Firefly is trained on Adobe Stock imagery, openly licensed work, and public domain content where the copyright has expired. Firefly produces content that is designed to be safe for commercial use.
To use Photoshop Generator, users need to make a selection in their image using any selection tool in Photoshop. Then they can access the Generative Fill button in the contextual taskbar or from the Edit menu. A text-entry prompt box will appear where users can describe the object or scene they want to generate in their image in English only. Alternatively, they can leave the prompt box blank and let Firefly generate something based on the context of the image. Users can also use keywords such as “realistic” or “surrealistic” to influence the style of the generated content.
Photoshop Generator can help users with various tasks, such as:
Generating objects: Users can select an area in their image and describe what they want to add or replace with a text prompt. For example, they can type “a red car” or “a bouquet of flowers” and get different options of images that match their description.
Generating backgrounds: Users can select the background behind their subject and generate a new scene from a text prompt. For example, they can type “a beach” or “a city skyline” and get different options of images that replace the original background.
Extending images: Users can extend the canvas of their image and make a selection of the empty region. Generating without a prompt will create a harmonious extension of their scene. Generating with a prompt will add content to their image while extending the rest of their scene. For example, they can type “a forest” or “a castle” and get different options of images that add new elements to their image.
Removing objects: Users can select the object they want to remove and generate without a prompt to let Firefly make it disappear. Firefly will replace the selected object with content that makes sense for the image. For example, they can select a person or an animal and get different options of images that remove them from the image.
The generated content is added on a new layer so users can edit, refine, or remove any creation without damaging the original image. Users can also use Photoshop’s tools to adjust the generated content, such as changing the color, size, position, opacity, blending mode, etc.
How to get started with Photoshop Generator?
Photoshop Generator is currently available in the Photoshop (beta) desktop app for Windows 10 (version 1809) or later and macOS 10.14 (Mojave) or later. Users need to have an active Creative Cloud subscription and an internet connection to use Photoshop Generator.
Photoshop Generator is a revolutionary and magical new feature that can help users create more with less effort and resources, and to express themselves in new and innovative ways. It is also a great way to experiment with generative AI and help shape the future of new AI-powered features in Photoshop.
You can read more about Adobe Sensei GenAI here.
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by Teknita Team | Mar 22, 2023 | Artificial Intelligence - Machine Learning
Microsoft 365 Copilot is a new feature that was recently announced by Microsoft.
Copilot is a virtual assistant that provides personalized guidance and support to users of Microsoft 365 applications. It uses machine learning and natural language processing to understand user queries and provide relevant information and assistance. It uses large language models (LLMs) and your data in the Microsoft Graph to help you with your work.
Copilot is seamlessly integrated into Microsoft 365 in two different ways. It operates alongside you, incorporated into the Microsoft 365 applications you regularly use, such as Word, Excel, PowerPoint, Outlook, Teams, and more, to enhance creativity, productivity, and skillsets. Additionally, Microsoft introduced a brand new experience, Business Chat. Business Chat works across the entire Microsoft 365 suite, including your data – such as your calendar, emails, chats, documents, meetings, and contacts – to enable you to perform tasks that were not previously possible. By providing natural language prompts such as “Update my team on the new product strategy,” it generates a status update based on the morning’s meetings, emails, and chat threads.
Microsoft 365 Copilot can help you with a variety of tasks in the Microsoft 365 apps, e.g.:
- Copilot in Word offers a head start in the creative process and eliminates the need to start from scratch. Copilot generates a first draft that can be edited and refined, reducing the time and effort spent on writing, sourcing, and editing. Copilot’s suggestions may be useful or may require modification, but they will always advance your progress. As the author, you retain full control of your ideas, guiding Copilot to refine or shorten the content as necessary.
- Copilot in PowerPoint helps you produce visually appealing presentations by providing relevant content from a previous document.
- Copilot in Excel streamlines data analysis by rapidly generating professional-looking visualizations of trends.
- Copilot streamlines various aspects of work, such as summarizing lengthy email threads and drafting quick responses, allowing users to clear their inboxes in minutes instead of hours.
- In Teams, Copilot ensures that every meeting is productive by summarizing critical discussion points in real-time, identifying areas of consensus and disagreement, and providing actionable items.
- Copilot in Power Platform empowers individuals to automate repetitive tasks, create chatbots, and transform concepts into functional applications in just minutes.
You remain in full control with Copilot, determining what to retain, adjust, or eliminate. With Copilot’s assistance, you can enhance your creativity in Word, bolster your analytical skills in Excel, amplify your expression in PowerPoint, boost productivity in Outlook, and facilitate collaboration in Teams.
Microsoft 365 Copilot’s foundational skills are a game changer for productivity: It can already create, summarize, analyze, collaborate and automate using your specific business content and context. But it doesn’t stop there. Copilot knows how to command apps (e.g., “animate this slide”) and work across apps, translating a Word document into a PowerPoint presentation. And Copilot is designed to learn new skills. For example, with Viva Sales, Copilot can learn how to connect to CRM systems of record to pull customer data — like interaction and order histories — into communications. As Copilot learns about new domains and processes, it will be able to perform even more sophisticated tasks and queries.
Copilot represents a significant shift in the way people interact with AI and how AI assists people. Like any new approach, there may be a learning curve, but those who adopt this novel way of working will rapidly gain an advantage.
You can read more about Microsoft 365 Copilot here.
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by Teknita Team | Mar 15, 2023 | Artificial Intelligence - Machine Learning, Digital Workplace, Process Automation, Security
Technology is constantly evolving, and every year brings new trends and innovations that shape the way we live and work. As we look ahead to 2023, it’s clear that there are several exciting developments on the horizon that could transform the IT landscape. From artificial intelligence to blockchain to the Internet of Things, these emerging technologies have the potential to revolutionize industries, create new opportunities, and solve some of our most pressing challenges.
In this blog post, we’ll explore the top 9 tech trends that are set to transform IT in 2023. We’ll dive into each trend, examining what it is, how it works, and what impact it could have on businesses and individuals alike. Whether you’re an IT professional, a business owner, or simply someone interested in the latest tech developments, this post is for you.
So, without further ado, let’s dive into the exciting world of 2023 tech trends and explore what the future may hold.
1. Artificial intelligence
AI has made significant progress in recent years and is expected to continue transforming IT. AI is already being used in various applications such as predictive analytics, natural language processing, and image recognition, and has the potential to revolutionize many industries.
2. Quantum Computing
Quantum computing is an emerging field of technology that leverages the principles of quantum mechanics to perform complex computations that are beyond the capabilities of classical computers. Unlike classical computers, which use binary digits (bits) to store and manipulate data, quantum computers use quantum bits (qubits), which can exist in multiple states simultaneously, enabling them to perform many computations in parallel.
3. Blockchain
While blockchain technology is mainly known for its use in cryptocurrencies, it has many other potential applications. Blockchain technology is a decentralized, distributed ledger that records the provenance of a digital asset. It is used to create a permanent, public, transparent ledger system for compiling data on sales, tracking digital use and payments to content creators, such as wireless users or musicians.
4. The Internet of Things
IoT is a system of interrelated physical devices, vehicles, buildings, and other items embedded with sensors, software, and network connectivity that enables these objects to collect and exchange data. This has the potential to create a vast network of interconnected devices, providing new insights and efficiencies across many industries.
5. Digital Twins
Digital twins have been positioning themselves for several years as one of the leading technological trends of the moment, especially if we talk about the industrial sector. Digital twins are virtual replicas of physical objects or systems that use data to model their behavior and performance in real-time. This emerging technology is a way to bridge the gap between the physical and digital worlds, enabling engineers, designers, and operators to simulate, monitor, and optimize complex systems.
6. Robotic Process Automation (RPA)
Robotic process automation (RPA) is the use of software with artificial intelligence (AI) and machine learning capabilities to handle high-volume, repeatable tasks that previously required humans to perform.
7. Metaverse
The metaverse refers to a virtual universe that is a shared, immersive space in which users can interact with a computer-generated environment and with other users. It is a concept that has been popularized by science fiction and video games, but it has gained more attention in recent years due to advancements in virtual reality, augmented reality, and other technologies.
8. Superapps
Superapps are a new generation of mobile applications that offer a wide range of services and features, including messaging, social media, e-commerce, and more.
9. Cybersecurity
As technology continues to advance, cybersecurity will remain a critical area of focus for IT professionals. This could include the use of more advanced threat detection and prevention technologies, as well as greater emphasis on data privacy and compliance.
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by Teknita Team | Feb 28, 2023 | Artificial Intelligence - Machine Learning
AGI stands for Artificial General Intelligence, which refers to the ability of an artificial intelligence system to perform any intellectual task that a human can do. AGI is sometimes referred to as strong AI or full AI, and it is a significant step beyond the current state of the art in AI, which is primarily focused on narrow or specific tasks.
Unlike narrow AI, which is designed to perform specific tasks such as speech recognition, image classification, or natural language processing, AGI aims to develop machines that can learn and think like humans, adapt to new situations, reason, and solve problems in a wide range of contexts. Achieving AGI would represent a significant technological breakthrough and could potentially revolutionize many aspects of our society and daily lives. However, developing AGI is a challenging and complex task that requires advances in many areas of computer science, including machine learning, cognitive science, and robotics.
Here are some key considerations:
- Ethical considerations: As AGI systems become more sophisticated, it is important to ensure that they are developed and used ethically. This includes concerns such as bias, transparency, and accountability.
- Safety considerations: AGI systems have the potential to be very powerful and could pose risks if not designed and used safely. It is important to consider the potential risks and take steps to mitigate them.
- Technical considerations: AGI systems will require significant technical breakthroughs to achieve. This includes developing algorithms and architectures that can handle complex tasks and adapt to changing environments.
- Human-machine interaction: AGI systems will need to be designed to work well with humans, including being able to communicate effectively and understand human needs and preferences.
- Education and workforce development: As AGI systems become more prevalent, there will be a growing need for people with the skills to design, develop, and manage them. This will require investment in education and workforce development.
- Collaboration and knowledge-sharing: The development of AGI will require collaboration across different fields and organizations. It will be important to facilitate knowledge-sharing and collaboration to accelerate progress and avoid duplication of effort.
According OpenAI, the future of humanity should be determined by humanity, and that it’s important to share information about progress with the public. There should be great scrutiny of all efforts attempting to build AGI and public consultation for major decisions.
The first AGI will be just a point along the continuum of intelligence. That progress will continue from there, possibly sustaining the rate of progress we’ve seen over the past decade for a long period of time. If this is true, the world could become extremely different from how it is today, and the risks could be extraordinary. A misaligned superintelligent AGI could cause grievous harm to the world; an autocratic regime with a decisive superintelligence lead could do that too.
Overall, planning for AGI and beyond will require a long-term and collaborative approach that involves a wide range of stakeholders from different fields and perspectives. Successfully transitioning to a world with superintelligence is perhaps the most important—and hopeful, and scary—project in human history. Success is far from guaranteed, and the stakes (boundless downside and boundless upside) will hopefully unite all of us.
You can read more about AGI here.
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by Teknita Team | Feb 24, 2023 | Artificial Intelligence - Machine Learning
LaMDA (Language Model for Dialogue Applications) is a new natural language processing (NLP) technology developed by Google. It is a machine learning-based language model designed specifically for use in conversational AI applications.
One of the key features of LaMDA is its ability to generate responses that are contextually relevant and coherent. It can understand the context of a conversation and generate responses that are appropriate based on the previous dialogue.
How does LaMDA compare to ChatGPT
LaMDA and ChatGPT are both natural language processing (NLP) models developed by Google, but they are designed for different use cases and are optimized for different tasks.
LaMDA is specifically designed for conversational AI applications, whereas ChatGPT is a more general-purpose language model that can be used for a wide range of NLP tasks.
LaMDA is built on top of Google’s existing BERT language model architecture and is optimized for understanding the context of a conversation and generating contextually relevant and coherent responses. ChatGPT, on the other hand, is part of the GPT family of models and is optimized for generating high-quality text in a variety of contexts. It is a more versatile language model that can be fine-tuned for specific tasks, such as text completion, summarization, and language translation.
In terms of performance, LaMDA has shown promising results in generating more natural and fluent responses in conversational AI applications, while ChatGPT has achieved state-of-the-art results in a wide range of NLP tasks.
LaMDA and ChatGPT are both powerful NLP models developed by Google, but they have different strengths and are optimized for different tasks. LaMDA is ideal for conversational AI applications, while ChatGPT is more versatile and can be used for a wide range of NLP tasks.
What fate awaits the LaMDA language model
Google has announced that it plans to integrate LaMDA into its products and services in the future to improve the conversational experience for users. LaMDA has the potential to transform the way we interact with chatbots, virtual assistants, and other conversational AI applications, by enabling them to better understand the context of a conversation and generate more natural and fluent responses.
In the short term, we can expect to see LaMDA being used to improve Google’s existing products and services, such as Google Assistant, Google Chat, and Google Meet. Google has also demonstrated how LaMDA can be used in other applications, such as customer service chatbots and language translation.
In the long term, LaMDA could have a significant impact on the field of conversational AI and the way we interact with technology. It could pave the way for more advanced chatbots and virtual assistants that are better able to understand and respond to human language, and could even lead to the development of more advanced AI systems that are capable of holding more complex and nuanced conversations.
Overall, the future of LaMDA looks very promising, and it is likely to play a key role in the development of the next generation of conversational AI applications.
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by Teknita Team | Feb 21, 2023 | Artificial Intelligence - Machine Learning
Microsoft’s mission is to enhance people’s ability to discover, create, and utilize knowledge by revolutionizing the most widely used web tools, namely the search engine and browser. Recently, Microsoft announced the launch of an all-new AI-powered Bing search engine and Edge browser, which are now available for preview on Bing.com. These tools will offer improved search capabilities, complete answers, a new chat experience, and content generation, effectively serving as an AI copilot for the web.
Microsoft’s Chairman and CEO, Satya Nadella, stated that “AI will fundamentally change every software category, starting with the largest category of all – search.” AI copilot and chat-powered Bing and Edge will help users extract more value from search and the web.
Introducing Bing and Edge, your web copilot.
Microsoft combined search, browsing, and chat into a unified experience that you can access from any web page. New offerings include:
- Improved search. With the new Bing, you’ll enjoy a better version of the familiar search experience. You’ll get more relevant results for simple queries, such as sports scores, stock prices, and weather, and a new sidebar that displays more comprehensive answers if you want them.
- Complete answers. Bing scours the web to review results and find the answer you’re seeking. For instance, if you’re baking a cake and need to substitute eggs, you can get detailed instructions right then and there without scrolling through multiple results.
- Interactive chat. For more complex searches, like planning a detailed itinerary or researching the best TV to buy, the new Bing offers an interactive chat feature. You can refine your search by asking for more details, clarity, and ideas until you receive the complete answer you need, with links available to act on your decisions.
- Creative inspiration. Sometimes, you need more than just an answer – you need inspiration. The new Bing generates content to help you, such as helping you write an email, create a five-day itinerary for a dream vacation to Hawaii, prepare for a job interview, or create a quiz for trivia night. Additionally, Bing cites all sources, providing links to web content it references.
- Revamped Edge browser. We’ve updated the Edge browser with new AI capabilities and a new appearance. We’ve also added two new functionalities: Chat and Compose. With the Edge Sidebar, you can ask for a summary of a lengthy financial report to get the key takeaways – and then use the chat function to ask for a comparison to a competing company’s financials and automatically put it in a table. You can also ask Edge to help you compose content, such as a LinkedIn post, by giving it a few prompts to get you started. After that, you can ask it to help you update the tone, format, and length of the post. Edge understands the web page you’re on and adapts accordingly.
Revolutionizing Search with AI
The new Bing offers a revolutionary search experience that relies on four key technical advancements:
- Cutting-edge OpenAI model. Latest Bing search engine is powered by a new, advanced OpenAI language model, which is specifically designed for search and is even more powerful than ChatGPT and GPT-3.5. It incorporates significant learnings and improvements from these models, and boasts increased speed, accuracy, and capability.
- Microsoft Prometheus model. It combines unique capabilities and techniques to provide you with more targeted, timely, and relevant results, while also ensuring greater safety.
- AI-powered core search algorithm. Microsoft integrated the AI model into the core of our Bing search ranking engine, resulting in the most significant improvement in relevance in over two decades. This means that even the simplest of search queries are now more accurate and relevant.
- New user experience. Microsoft are transforming the way users engage with search, browsing, and chat by integrating them into a unified experience, unlocking a brand-new way to interact with the web. These exceptional search experiences are made possible because of Microsoft’s commitment to building Azure into a supercomputer for AI, which OpenAI has used to train these groundbreaking models optimized for Bing.
Everyone can visit Bing.com today to try sample queries and sign up for the waitlist.
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