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 27, 2023 | Security
Mark your calendar for March 28, 2023, and be part of Microsoft Secure, the empowering annual security event tailored for the Microsoft community.
By launching the inaugural edition of Microsoft Secure, company aims to establish an annual tradition that celebrates the innovative spirit of Microsoft community. Microsoft specialists will showcase latest product updates across security, compliance, identity, management, and privacy in Microsoft Secure innovation sessions. Later, you can attend breakout sessions, hands-on workshops, and product deep dives centered around four key themes:
- Explore cutting-edge technology such as cloud security, security information and event management, extended detection and response, and threat intelligence, powered by AI.
- Enable smarter, real-time access decisions for all identities and cloud-managed endpoints.
- Minimize insider risk and protect sensitive information across platforms, applications, and clouds.
- Safeguard against threats like ransomware with Zero Trust architecture and built-in security.
For a more interactive learning experience, you’ll be able to participate in live open discussions and engagement opportunities, including: Ask the Experts, Table Topics, and Connection Zone forums. Furthermore, Microsoft team will be available to provide real-time insights and answer your questions in the event chat throughout the day.
Joining inaugural Microsoft Secure event means six hours of fresh announcements, innovations, and comprehensive security strategies. By participating, you will:
- Get a first look at how AI is shaping the future of cybersecurity, empowering you to protect more effectively with fewer resources.
- Gain valuable insights from industry experts to help you defend against current threats and shape the security landscape of the future.
- Explore technical content in-depth during breakout sessions, featuring topics such as extended detection and response, multicloud security, cloud-managed endpoints, Zero Trust, built-in security configurations, and more.
- Connect with fellow attendees in live question-and-answer sessions and receive expert guidance from Microsoft security professionals on your most pressing security concerns.
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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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by Teknita Team | Feb 17, 2023 | Project Management
How to manage projects or which methodology choose to do it?
Let’s start by explaining the basic concepts related to the modern approach to IT project management. A project management methodology is a set of principles, tools and techniques that are used to plan, execute and manage projects.
How to approach effective management of IT projects? The key element is to plan the entire project, taking into account its purpose, time horizon, team and its responsibilities, as well as basic principles related to work in the project. An excellent example of planning an IT project is the use of the SMART methodology, which allows for precise determination of measurable, appropriate and achievable goals.
In addition to solid planning of the IT project, it is essential in today’s times to choose a methodology according to which work will be carried out. Currently, the literature on the subject points to many schools of IT project management. The choice of a specific methodology should be made, taking into account all the relevant factors for the organization and the culture of the team’s work.
There are several popular IT project management methodologies that are widely used in the industry. Some of the most popular IT project management methodologies are:
1. Agile
Agile is an iterative and flexible approach to project management that emphasizes collaboration, customer involvement, and continuous improvement. It is particularly well-suited for software development projects.
2. Scrum
Scrum is a subset of Agile that emphasizes teamwork, accountability, and iterative progress towards a well-defined goal. It is particularly well-suited for complex software development projects.
3. Waterfall
Waterfall is a linear project management methodology that emphasizes completing each phase of the project before moving on to the next. It is particularly well-suited for projects with well-defined requirements.
4. Lean
Lean is a project management methodology that emphasizes the elimination of waste and continuous improvement. It is particularly well-suited for projects that require high efficiency.
5. Kanban
Kanban is a project management methodology that emphasizes visualizing work, limiting work in progress, and continuous delivery. It is particularly well-suited for projects that require a high level of flexibility.
6. PRINCE2
PRINCE2 is a process-based project management methodology that emphasizes project governance, risk management, and the controlled management of stages. It is particularly well-suited for large-scale projects with multiple stakeholders.
7. PMBOK
PMBOK (Project Management Body of Knowledge) is a standard for project management that covers a wide range of project management principles, processes, and techniques. It is particularly well-suited for projects with well-defined requirements and a structured approach to project management.
Each methodology has its own strengths and weaknesses, and the choice of methodology will depend on the specific needs of the project and the organization.
Managing an IT project is a complex and multidimensional challenge. Fortunately, in the age of advanced information technology, every Project Manager has access to a vast repository of tools that facilitate and streamline the work of the entire team. Which tools deserve special attention?
First of all, communication tools that increase the efficiency of data and information flow, even in hybrid teams. Skype, Microsoft Teams, Slack, or Zoom meet all the requirements of even large teams.
An IT project cannot do without an effective tool for managing the produced code. The most popular version control system is GIT and the GitHub code repository, and these are the tools most commonly used in IT projects.
Project work, carried out by a large team, requires a tool that consolidates the efforts of all team members. The project work tool should show the status of all current tasks, the people assigned to each task, and a section for additional information within one board. Such functionalities can be found in popular tools such as Asana, Trello, or Jira.
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