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Neural Style Transfer (NST) is a concept in generative AI where the content of one image is combined with the style of another to create a new image. It uses a pre-trained Convolutional Neural Network (CNN) and adds loss functions with style transformations to generate a novel image.

CNNs are deep learning models used mainly in image analysis to understand image content. They work by using filters to detect features like lines, edges, shapes, and patterns in layers. Pooling helps to focus on the main object by disregarding redundant background information. Fully connected layers act as a final classifier using a pre-trained dataset to identify the image's content. The CNN also learns from its mistakes to improve over time.

NST requires two inputs: a content image whose content will be preserved and a style image from which the artistic style will be taken. The process involves the CNN first detecting the content of the content image by identifying objects, patterns, shapes, and colors. Then, it captures the style (colors, brush strokes, artwork) from the style image, also using a CNN. Finally, it generates a new image that retains the content of the first and adopts the style of the second.

The neural networks used in NST include pre-trained feature extractor models like ResNet and VGG, which are trained on large datasets to detect the content of the content image. Style Networks, also pre-trained, are trained differently to identify the characteristics of the artwork in the style image.

A real-world application of NST is Prisma, which uses a preset feature extractor to create artistic, embossed-like images from a content image. While AI excels at pattern recognition, generative AI like NST is still in its early stages and not yet fully production-ready. However, it has emerging applications in video and film production, photography, design and branding, architecture, interior design, medical imaging, VR, image-to-image translation, data visualization, educational tools, and image enhancement. The process involves comparison between the content image and the generated image and can be iterated to achieve the desired result.

https://www.youtube.com/watch?v=IiYyI0A2F2c

As software engineers, we have the incredible opportunity to harness the power of ChatGPT to elevate our applications to new heights of interactivity and intelligence. Embark on a thrilling journey through ChatGPT's evolution, powered by the Transformers architecture. Explore ChatGPT's real-world impact on code assistance, customer support, content generation, and more. But that's not all – there's more than meets the eye! We'll explore prompt engineering techniques and integration options using the OpenAI API. Roll out feeling inspired and ready to transform your applications and the world.

https://www.youtube.com/watch?v=854xFUl-big

Artificial intelligence is rapidly changing the world we live in, and Microsoft is at the forefront of this exciting revolution. Join us for a session where we'll explore the latest innovation from Microsoft and GitHub on AI.Let's explore the latest technologies, including Azure OpenAI, Neural voice, and GitHub Co-pilot. With Co-pilot, an AI-powered coding assistant that suggests code snippets based on project context, developers can boost productivity. We'll also discuss the importance of developing AI in a way that benefits society as a whole.Don't miss this opportunity to learn and discover how you can leverage AI to drive innovation in your own organization.

https://www.youtube.com/watch?v=yDMHwlbVVwU

In today’s fast-paced and complex technological landscape, observability has become a critical aspect of ensuring the reliability and performance of software systems.However, traditional observability tools and techniques can only go so far in providing insights into the behavior of these systems. Enter ChatGPT, a conversational AI tool that can help bridge the gap between observability and human understanding.In this session, we will explore ChatGPT and how it could theoretically be used to enhance an enterprise’s observability practices. We will briefly look at how ChatGPT can be trained to understand and interpret system logs, metrics, and other observability data, and explore whether it can provide useful real-time insights and recommendations to engineers and operators.By attending this session, you will gain a deeper understanding of how conversational AI can be leveraged to improve observability in software systems, and how ChatGPT help you avoid potential issues before they become critical problems.

by: Gareth Emslie

Ref: https://www.youtube.com/watch?v=WH-4BByWFm8

Join us in this gripping session as we peel back the layers of the banking sector's current state during these dark times. The industry faces relentless direct attacks and ingenious social engineering scams that have evolved with the digital era. As technology progresses, with the rise of DeepFake and powerful AI/ML tools like ChatGPT, scammers exploit these innovations, making cybersecurity an ever more critical pursuit.Representing a leading bank, we will share our first-hand experience of navigating these challenges and fortifying the protection of our customers' invaluable data and assets. Delve into the organizational hurdles we confronted from a cybersecurity perspective and gain insights into the measures we have implemented to safeguard privacy and ensure financial safety.During our session, we will showcase a live demo, unveiling the impact of DeepFake on fraud. Discover the risks it poses to the banking sector and beyond, explore future implications, and learn about our proactive steps to mitigate these risks. Gain invaluable insights, practical advice, and stay ahead in the ever-evolving cybersecurity landscape. Don't miss this opportunity to safeguard your data and assets.

by: George Proorocu

Ref: https://www.youtube.com/watch?v=5qrMnlbwpIg

This is a technical presentation where we'll look at attacks on implementations of Large Language Models (LLMs) used for chatbots, sentiment analysis, and similar applications. Serious prompt injection vulnerabilities can be used by adversaries to completely weaponize your AI against your users.We will look at how so-called "prompt injection" attacks occur, why they work, different variations like direct and indirect injections, and then see if we can find good solutions on how to mitigate those risks. We'll also learn how LLMs are "jailbroken" to ignore their alignment and produce dangerous content.LLMs are not brand new, but we know that their use will increase drastically in the next few years, and therefore it is important to take security seriously by considering the risks involved before using AI for sensitive operations.

by: Vetle Hjelle

Ref: https://www.youtube.com/watch?v=S5MKPtRpVpY

Here is a brief description for a post about how to kickstart your software engineering career, based on the source:

• A software engineering career can be started via bootcamps like TripleTen, which offer opportunities to gain practical skills.
• TripleTen is an online, part-time coding bootcamp that helps people transition into tech careers, even without prior experience. An advantage to TripleTen is that 87% of graduates are hired within 180 days.
• Bootcamps allow for a career and life change in less time and at a lower cost than a four-year college.
• TripleTen provides programs in software engineering, data science, cybersecurity, quality assurance, and business intelligence analytics.
• With TripleTen, you can learn web application and object-oriented programming, and test your skills with projects.
• TripleTen's software engineering course teaches the basics of web development with programs like HTML and CSS. It also covers layout techniques using software like flexbox, positioning elements, and grid layout, and introduces BEM, Git, and debugging.
• The course will also help you learn JavaScript and React.
• TripleTen's partners offer students opportunities to apply their skills to real-world tasks and externships.
• TripleTen also offers chat support, a success manager, a Discord community, and tutors.
• TripleTen's blog answers questions about job searching, interview preparation, and the tech industry.
• Completing business projects for real companies that TripleTen has partnered with gives you the opportunity to apply your skills to real-world tasks, present your projects directly to the partner company, and add it to your resume.
• Actively marketing yourself can set you apart in the world of software engineering.
• Using the code "cyber time" will give you 30% off all programs.

https://www.youtube.com/watch?v=_NsUOJXV4gU

Software engineering is more than just programming; it's about building software that works reliably, rooted in a pragmatic and scientific approach. The difficult part of software engineering is the design, given that production is as simple as cloning bytes. Software engineers should focus on exploration and discovery, adapting lessons from science through iteration, feedback, and incremental work. By working experimentally and empirically, engineers can manage the complexity inherent in software development. Modularity, cohesion, separation of concerns, abstraction, and coupling are key ideas that allow software engineers to compartmentalize systems, enabling easier changes and better understanding of code. Prioritizing these properties leads to writing better software faster, making it easier to test, understand, and evolve incrementally.

https://www.youtube.com/watch?v=TRqYQnCfgH8

Software engineers need a combination of hard and soft skills to be successful1. Hard skills are technical abilities learned through education or professional development that can be measured for proficienc

https://www.springboard.com/blog/software-engineering/skills-needed/

https://www.chatprd.ai/blog/product-management-is-dead