The Growing Demand for ChatGPT Professionals


A study found out that 91 per cent of companies with job vacancies want to hire professionals with ChatGPT expertise. Respondents feel that AI can boost productivity, save time and boost the company’s performance.

ChatGPT has been the talk of the tech world since it was introduced back in 2022. The AI chatbot gained immense popularity for its ability to respond in a human-like manner and handle almost everything thrown at it. From writing essays and poetry to composing music, people soon found multiple ways to put the generative AI chatbot to use.

With time, ChatGPT is becoming more of a requirement in the tech space and people who are experts at using the AI chatbot reportedly have a lot of options when it comes to jobs. A study by ResumeBuilder found out that 91 per cent of companies with job vacancies want to hire professionals with ChatGPT expertise. As per the study, respondents feel that AI can boost productivity, save time and boost the company’s performance.

Companies paying up to Rs 1.5 crore to ChatGPT experts


A Business Insider report also says that companies on LinkedIn are willing to pay up to USD 185,000 (around Rs 1.5 crore) per year to people having expertise in the use of ChatGPT.

For instance, Recruiting from Scratch, an HR company based in the US, is hiring for the positon of Senior Machine Learning Engineer, Audio and the skills required for the job include ‘Familiarity with current AI tools and platforms – ChatGPT, Midjourney and others’

Moreover, the position has a defined salary range of USD 125,000 to USD 185,000 per year.

On the other hand, conversational AI tool Interface.ai is looking to hire a Remote Machine Engineer and the candidate must have ‘experience with natural language processing and large language models’ behind ChatGPT. The position pays up to USD 170,000 per year.

Prompt engineering as a growing profession


ChatGPT has often been associated with the fear of costing people their jobs. But many experts also believe that the AI tool will create more jobs as well. And one of these professions is Prompt Engineering, that is gaining popularity these days.

In March this year, a job ad by a San Francisco-based AI startup named Anthropic made headlines for looking to hire a Prompt Engineer and a Librarian with a salary of up to USD 335,000 per year. When converted to INR, this figure is Rs 2.7 crore, approx.

However, San Francisco is not the only country hiring for AI Prompt Engineering roles. Head over to LinkedIn, or any other job-searching platform, and you will find multiple places looking for prompt engineers. Looking at the popularity of the role, various sites have also started offering courses on Prompt Engineering to help people master the craft

Harnessing the Power of Synthetic Data for Neural Network Learning

In the world of artificial intelligence, neural networks play a vital role in training machines to perform complex tasks. These networks are designed to mimic the human brain’s structure and functioning, enabling them to learn and make predictions based on vast amounts of data. However, for neural networks to truly excel, they need a constant supply of data, even if that data is synthetic or artificially generated.

The Importance of Data in Neural Network Training

Data is the lifeblood of neural networks. It serves as the foundation for training these networks, allowing them to understand patterns, recognize objects, and make accurate predictions. Without a diverse and comprehensive dataset, neural networks would struggle to learn effectively.

Real Data vs. Synthetic Data
Real data refers to information collected from various sources, such as user interactions, sensor readings, or historical records. It provides neural networks with valuable insights into real-world scenarios and helps them make informed decisions. However, obtaining real data can be challenging due to privacy concerns, data scarcity, or the need for expensive data collection processes.

To overcome these limitations, researchers and developers have turned to synthetic data. Synthetic data is artificially generated and designed to simulate real-world scenarios. By creating synthetic datasets, developers can provide neural networks with a sufficient amount of training data without compromising privacy or incurring high costs.

Benefits of Synthetic Data for Neural Network Training

  1. Unlimited Supply
    Synthetic data offers an unlimited supply of training examples. Unlike real data, which may be limited or difficult to obtain, synthetic data can be generated in large quantities to meet the demands of neural network training. This abundance of data allows networks to explore a wide range of scenarios and improve their performance.
  2. Controlled Environment
    With synthetic data, developers have full control over the training environment. They can manipulate variables, introduce specific scenarios, or create challenging conditions to enhance the neural network’s learning capabilities. This level of control enables targeted training and accelerates the network’s ability to adapt to various situations.
  3. Privacy Preservation
    Synthetic data eliminates privacy concerns associated with real data. By generating artificial examples, developers can ensure that sensitive information remains protected. This aspect is particularly crucial in industries such as healthcare or finance, where data privacy is of utmost importance.
  4. Cost-Effective Solution
    Collecting, cleaning, and annotating real data can be an expensive process. In contrast, generating synthetic data is relatively cost-effective. Developers can create custom datasets tailored to specific requirements, eliminating the need for extensive data collection efforts. This cost efficiency makes synthetic data an attractive option for organizations with limited resources.

Transitioning from Synthetic to Real Data
While synthetic data offers numerous benefits, it is essential to note that neural networks still require exposure to real data for optimal performance. Synthetic data serves as a stepping stone, enabling networks to grasp fundamental concepts and learn initial patterns. However, to ensure the network’s generalization capabilities and real-world applicability, incorporating real data into the training process becomes crucial.

Researchers and developers often employ a combination of real and synthetic data to strike a balance. This hybrid approach allows neural networks to learn from diverse sources while maintaining the advantages offered by synthetic data. By gradually introducing real data, networks can fine-tune their understanding, adapt to real-world complexities, and deliver more accurate predictions.

Neural networks rely on data to learn, grow, and make informed decisions. Whether it’s real or synthetic, data plays a pivotal role in training these networks. Synthetic data provides an unlimited supply of examples, controlled environments, privacy preservation, and cost-effectiveness. However, to ensure the network’s applicability in real-world scenarios, incorporating real data becomes necessary. The combination of real and synthetic data allows neural networks to reach their full potential, making strides towards more advanced artificial intelligence systems.

Capture the Moment: Mastering Android Auto Screenshots in 3 Simple Steps

Are you wondering how to capture a screenshot while using Android Auto? Look no further! This guide will walk you through the simple steps to take a screenshot on Android Auto. With just a few taps, you’ll be able to capture and share your screen effortlessly.

  1. Ensure Compatibility and Connection
    Before diving into the screenshot process, ensure that your Android device is compatible with Android Auto. Check if your phone supports Android Auto and that it’s connected to a compatible vehicle or head unit. Make sure you have the latest version of Android Auto installed on your device for optimal performance.
  2. Access Android Auto
    To take a screenshot on Android Auto, you need to have the app running on your device and connected to your vehicle’s system. Once your phone is connected and the Android Auto interface appears on your car’s screen, you’re ready to proceed.
  3. Locate the Screen or Information You Want to Capture
    Identify the screen or specific information you wish to capture in the screenshot. It could be a navigation route, a music playlist, or any other relevant content displayed within the Android Auto interface.
  4. Use Your Phone’s Screenshot Shortcut
    To take a screenshot on Android Auto, you’ll need to use your phone’s screenshot shortcut. The exact method may vary slightly depending on your Android device model and software version. Typically, you can capture a screenshot by simultaneously pressing the volume down button and the power button on your phone. Be sure to do this while the Android Auto app is active on your device.
  5. Access the Captured Screenshot
    Once you’ve taken the screenshot, it will be saved in your phone’s gallery or screenshot folder. You can access it by opening the Photos or Gallery app on your device. From there, you can view, edit, or share the captured screenshot as desired.
  6. Editing and Sharing Options
    After accessing the screenshot, you have the option to edit it using various image editing apps available on your device. Crop, annotate, or apply filters to enhance the screenshot before sharing it with others. To share the screenshot, simply tap on the share icon within the gallery app and choose your preferred sharing method, such as email, messaging apps, or social media platforms.

Now you know how to take a screenshot on Android Auto effortlessly. Remember to ensure compatibility, access the Android Auto interface, locate the desired content, use your phone’s screenshot shortcut, and access the captured screenshot in your device’s gallery. With these simple steps, you’ll be able to capture and share important information from your Android Auto experience with ease.

Potential of the Google Pixel 8: Redefining Desktop PCs

In this all-encompassing guide, we embark on a thrilling journey into the boundless opportunities presented by the Google Pixel 8 as a replacement for traditional desktop PCs. As technology surges forward, Google remains at the vanguard of innovation, ceaselessly pushing boundaries to enhance user experiences. The Google Pixel 8 epitomizes a monumental leap forward, bestowing commanding performance, versatility, and seamless integration within the Google ecosystem. Let us accompany you as we delve into the remarkable features, advantages, and untapped potential of this groundbreaking marvel.

Unveiling the Phenomenal Google Pixel 8


Prepare to witness a revolutionary device that reimagines the very essence of a desktop PC. Fueled by cutting-edge hardware and advanced software, it harmonizes the convenience and mobility of a smartphone with the productivity and functionality of a traditional desktop computer. Adorned with a sleek design, an intuitive interface, and awe-inspiring capabilities, the Pixel 8 establishes an unprecedented benchmark for contemporary computing.

Unleashing the Mighty Power of the Google Pixel 8
Among the myriad advantages bestowed by the Google Pixel 8, its exceptional performance reigns supreme. Boasting a state-of-the-art processor and generous RAM, this device effortlessly conquers resource-intensive tasks. Whether you’re immersed in video editing, graphic design, or complex simulations, the Pixel 8 ensures seamless and efficient multitasking.

Seamless Integration within the Google Ecosystem
Prepare to embark on a harmonious and interconnected digital journey with the Google Pixel 8’s seamless integration within the Google ecosystem. Harnessing the power of Google’s suite of applications, you can effortlessly access your documents, emails, and photos from any device. With the aid of Google Drive, you can securely store and synchronize your files in the cloud, ensuring perpetual accessibility and safeguarding your precious data.

A Glimpse into the Future of Productivity
Imagine a world where the transition from smartphone to a complete desktop experience is effortlessly achieved through a single device. The Google Pixel 8 transforms this vision into reality. Its innovative desktop mode enables you to connect to a monitor, keyboard, and mouse, effectively metamorphosing the Pixel 8 into a fully functional desktop computer. Whether you’re engrossed in spreadsheet analysis, crafting captivating presentations, or traversing the vast realm of the internet, the Pixel 8 provides an unobtrusive and efficient workflow, nurturing unparalleled productivity.

An Exquisite Display of Brilliance
Prepare to be captivated by the resplendent display of the Google Pixel 8, breathing life into your content. Radiating with vibrant colors, unparalleled detail, and extraordinary contrast, every image and video is brought to life with exceptional clarity. Whether you’re indulging in cinematic experiences, engaging in photo manipulation, or immersing yourself in captivating games, the Pixel 8’s display bestows an enchanting visual symphony that enthralls and mesmerizes.

Advanced Security and Privacy at the Core
In today’s digital landscape, privacy and security reign supreme, and the Google Pixel 8 remains resolute in addressing these concerns. Embracing built-in security features like fingerprint scanning and facial recognition, your data is safeguarded with utmost confidence. Furthermore, the Pixel 8 benefits from regular software updates and security patches, ensuring proactive protection against emerging threats, leaving you reassured and prepared.

Embracing the Future of Connectivity
The Google Pixel 8 stands at the forefront of the latest connectivity standards, enabling swift and steadfast data transfer. Equipped with versatile USB-C ports, you can effortlessly connect a myriad of peripherals, including external hard drives, printers, and monitors. Moreover, the Pixel 8 boasts advanced wireless capabilities, encompassing Wi-Fi 6 and Bluetooth 5.0, elevating connectivity to new heights, irrespective of your surroundings.

In Conclusion: Embrace the Revolutionary Power of the Google Pixel 8
As a harbinger of a paradigm shift in desktop computing, the Google Pixel 8 commands attention. Its unparalleled performance, seamless integration within the Google ecosystem, and remarkable versatility position it as an irresistible choice for both professionals and enthusiasts alike. By embracing the Pixel 8, you open the gateway to a world brimming with possibilities, propelling your productivity to unprecedented heights.

What is Social Engineering?

In the realm of cybersecurity, an insidious threat looms large: social engineering. This form of attack goes beyond the traditional technical vulnerabilities and exploits human psychology to gain unauthorized access or extract sensitive information. With its subtle techniques and persuasive tactics, social engineering presents a significant challenge to individuals and organizations alike. In this article, we will delve into the captivating world of social engineering, exploring its various forms, real-life examples, and preventive measures.

Social Engineering Definition

Social engineering involves the manipulation of individuals through psychological tactics, aiming to deceive them into performing actions that may compromise their security or divulge confidential information. These tactics exploit human traits, such as trust, curiosity, or fear, to gain unauthorized access to systems or acquire sensitive data.

Phishing: A common social engineering technique, phishing employs deceptive emails, messages, or websites to trick victims into revealing personal information, such as passwords or credit card details.

Pretexting: This form of social engineering involves creating a fabricated scenario to gain a target’s trust and extract sensitive information or access restricted areas.

Baiting: Baiting entices victims with an appealing offer, such as a free download or a tempting discount, but with the ulterior motive of installing malicious software or obtaining personal data.

Quid pro quo: In this technique, an attacker promises a benefit or assistance in exchange for sensitive information. For instance, posing as technical support personnel and requesting login credentials.

Real-Life Examples
The Call Center Conundrum
In a notable social engineering case, hackers impersonated employees of a call center to extract sensitive information from unsuspecting customers. By manipulating their targets with a friendly demeanor and convincing storylines, the attackers were able to gather confidential data, causing significant harm.

The Spear Phishing Attack
A high-profile social engineering incident involved a spear phishing attack on a prominent organization. The attacker sent a convincing email to an employee, posing as the CEO and urgently requesting a transfer of funds. Despite security measures in place, the employee fell victim to the ruse, resulting in substantial financial losses.

Mitigating the Threat
To safeguard against social engineering attacks, it is crucial to implement effective preventive measures. Consider the following strategies:

Employee Education and Awareness
Conduct regular training sessions to educate employees about the different forms of social engineering attacks. By fostering a culture of skepticism and caution, individuals can better recognize and respond to suspicious requests or interactions.

Robust Authentication Mechanisms
Implement multi-factor authentication systems to add an extra layer of security. This ensures that even if an attacker manages to acquire login credentials, they would still face additional barriers, reducing the chances of unauthorized access.

Security Policies and Procedures
Establish comprehensive security policies and procedures that address social engineering vulnerabilities. Regularly review and update these guidelines to stay ahead of evolving threats and provide clear instructions to employees on how to handle suspicious situations.

Social engineering represents a formidable threat in the ever-expanding landscape of cybersecurity. By exploiting human psychology, attackers can bypass traditional security measures and gain unauthorized access to sensitive information. It is essential for individuals and organizations to remain vigilant, continuously educate themselves, and implement robust preventive measures to counter this insidious form of manipulation. By doing so, we can fortify our defenses and ensure a safer digital environment for all.

Incident Response Planning
Develop a well-defined incident response plan to handle potential social engineering incidents. This plan should outline the steps to be taken in case of an attack, including communication protocols, containment strategies, and recovery measures.

In conclusion, social engineering is an artful blend of psychology and manipulation that poses a significant challenge in the realm of cybersecurity. By understanding its various forms, learning from real-life examples, and implementing preventive measures, individuals and organizations can protect themselves from falling victim to these deceptive tactics. Stay informed, stay cautious, and stay one step ahead in the ongoing battle against social engineering.

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