The leading Artificial Intelligence research organization, OpenAI has announced to monetise ChatGPT platform
OpenAI, the leading Artificial Intelligence research organization, has announced plans to monetize its popular language generation model, ChatGPT. The move will allow businesses and developers to integrate the model into their own applications and services and will help generate revenue for OpenAI, enabling them to continue to invest in the development of advanced AI technologies. However, this move also raises ethical concerns and could have a significant impact on the job market and the research community.
What is OpenAI?
OpenAI is an artificial intelligence research organization that aims to promote and develop friendly AI in a responsible manner. The company was founded in 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, Wojciech Zaremba, and John Schulman. OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity.
On the topic of monetizing its ChatGPT platform, OpenAI has recently announced plans to make its popular language generation model available for commercial use. ChatGPT is a powerful natural language processing model that can generate human-like text. The company plans to offer the model as a cloud-based API, allowing businesses and developers to integrate it into their own applications and services. This move is expected to help OpenAI generate revenue and sustain its research and development efforts
What is the ChatGPT platform?
ChatGPT is a language generation model developed by OpenAI. It is based on the GPT (Generative Pre-trained Transformer) architecture and has been trained on a massive dataset of text from the internet. The model is able to generate human-like text in a variety of formats, such as conversation, poetry, news articles, and more. ChatGPT can be fine-tuned for specific tasks, such as answering questions, generating responses in a chatbot, and summarizing text. It is considered one of the most advanced language generation models currently available and is widely used in research and industry.
How will OpenAI monetize the ChatGPT platform?
OpenAI plans to monetize the ChatGPT platform by offering it as a cloud-based API (Application Programming Interface) that businesses and developers can integrate into their own applications and services. This would allow customers to use the model’s advanced language generation capabilities to improve their own products and services.
The company plans to charge customers on a pay-per-use basis, with prices determined by the number of requests made to the API. Additionally, OpenAI may also offer additional services like custom fine-tuning of the model for specific use cases or industries, and technical support. The company might also offer different pricing plans based on the usage volume, custom models, and additional features like analytics, monitoring, and reporting.
It’s worth noting that OpenAI is also open to collaboration, providing access to its technology to a select group of partners and industry leaders, allowing them to integrate the technology into their own products and services, and enabling them to generate revenue from them.
What are the implications of this move?
The move by OpenAI to monetize the ChatGPT platform has several implications.
Firstly, it will help OpenAI generate revenue and sustain its research and development efforts. This would enable the company to continue to invest in the development of advanced AI technologies and to advance its mission of developing friendly AI that benefits all of humanity.
Secondly, it will make the powerful language generation capabilities of ChatGPT widely available to businesses and developers. This could lead to the creation of new and innovative products and services that leverage the model’s capabilities, such as advanced chatbots, automated content generation, and more.
Thirdly, this move could also lead to increased competition in the language generation market. As more companies and developers gain access to ChatGPT technology, it could lead to the development of similar or competing products and services.
Additionally, this move by OpenAI could also have a significant impact on the job market. As language generation technology becomes more widely available and sophisticated, it could lead to increased automation of certain tasks that currently require human labor, such as content creation, customer service, and more. This could lead to job displacement in certain fields, and it will be important for companies and society to address this issue and ensure that workers have the necessary skills and support to adapt to the changing job market.
Finally, this move could lead to ethical concerns regarding the use of language generation models like ChatGPT. As the model is able to generate human-like text, it could be used to create fake news, impersonate individuals, or spread misinformation. It is important that OpenAI and its customers ensure that the technology is used in a responsible manner and that appropriate safeguards are in place to prevent misuse.
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Using Artificial Intelligence To Track Parcels And Predict Delivery Date
Online shopping has allowed consumers to purchase just any products from around the globe, providing access to all existing goods, and allowing them to shop at the best prices, with one and only downside compared to the traditional physical shopping, the delivery delays. Deliveries are usually quite opaque processes, during which buyers have paid for something that they have not received yet, and don’t have information regarding their packages until they get finally delivered.
Thankfully, there’s a tool that brings light to the whole process, and with the help of AI, provides a projection of the delivery date.
How to use AI for tracking?
An online parcel tracking tool has integrated AI, allowing users to benefit of all the insights it can bring. Ordertracker is an innovative package tracking tool that allows consumers to view their orders in real-time. The system uses AI to provide accurate delivery information such as delay predictions, delivery updates, and more. It can be used by consumers to independently track their orders over various retailers and courier services.
The Advantages of Using Ordertracker
The post-purchase experience is one of the main sources of either pleasure or pain for most retailers. Those that are able to ship out orders on time and ensure they arrive safely are able to retain consumers more efficiently. At the same time, those that use faulty shipping methods, lose packages, or fail to deliver will end up losing more customers than they gain.
With Order Tracker, the benefits are twofold, the consumer is able to keep an eye on their order, and the brand or retailer is able to offer more reliable support. Order Tracker uses AI to track packages from more than 1,200 supported shipping companies with 100% accuracy. For consumers, this means that locating their order at any point in its journey is as simple as entering the tracking number online. For retailers, this means that delivery times can be improved thanks to detailed analytics that are provided in real-time for each shipping company.
How tracking could help Ecommerces
A study has revealed that over 88% of consumers consider real time tracking as crucial, but in reality, these functions are still not being utilized, even if the benefits of implementing a tracking solution for ecommerce are quite considerable. Here’s some of the benefits of adding tracking pages to online stores :
Reducing customer support by up to 60%, answering all the WISMO queries
Where Is My Order, or it’s acronym WISMO, is known as the most asked question in Ecommerce, by implementing transparent tracking services, these queries could be reduced to almost 0.
Reassuring customers with transparency over the post purchase process
It has been proved that when customers are provided with real-time tracking, their tolerance toward delays is greater. Tracking also solves one of the main barriers when ordering online, especially from an independent or relatively new store. The lack of confidence toward the service, and its legitimacy.
Optimizing delivery times by getting reports from the different carriers
With an overview over the whole delivery chain, store owners have access to additional insights allowing them to test and optimize their deliveries, by switching from a courier service to another and this way improve their delivery delays.
Re-Converting and Upselling existing customers
As tracking is one essential step when shopping online, most customers will track their parcel independently if there is no solution presented to them. Allowing the tracking event to happen on your store is guaranteeing that your converted customers will visit your website again, creating new reconversion opportunities for stores. On average, a customer tracks its parcel 2,7 times during the shipping process, this would provide store owners with almost 3 new opportunities to reconvert their paying customers with new or related products.
How to Use Ordertracker
To use Ordertracker all consumers need to do is enter the package tracking number from their order into the website’s search box. Ordertracker will provide the tracking data for the specific package, and with the help of its AI, generate a timeline of the entire delivery process and notify you on the status of your package along with the expected delivery delay. The delivery dates are calculated using insights from 1000 previous orders that were delivered in the same area. Getting automatic updates requires entering an email address and setting an account on the platform. The AI tracking service can send you push notifications whenever the status of your packages changes, or when the package arrives in your city.
If there is a shipping disruption in a specific area, or the order was delayed at some point for just any reason, Ordertracker will be able to consider these changes and keep the consumer updated. The tool works with local and international delivery services making it a great solution for tracking packages all over the world.
Keeping Up With Packages
Merchants are generally hands-off once they hand over packages to the shipping company. With parcel tracking tools, keeping an eye on an online order is easier than ever. It is also a great way for consumers to plan their deliveries according to their schedules with ease.
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What Software Developers Need To Know About AI-Assisted Coding?
These are the things that software developers need to know in AI-assisted coding
The way we work, live, and code has been changed by artificial intelligence. The software development industry has become quite interested in AI-assisted coding in recent years. As the name implies, AI-assisted coding uses AI algorithms to assist in the coding, debugging, and testing phases of software development.
In this article, we’ll look at the fundamentals of AI-assisted coding and things that Developers need to know including AI-enhanced coding tools, their advantages, and drawbacks, as well as how to integrate AI into the software development process.
What is AI-Assisted Coding?
An approach to software development known as “AI-assisted coding” uses machine learning and AI algorithms to assist programmers in writing, debugging, and testing code. AI-assisted coding tools may generate code snippets automatically, suggest patches for errors, and even spot potential security flaws using computer vision and natural language processing techniques.
AI-assisted coding can dramatically speed up development by decreasing the amount of time needed to write and debug code, which is one of its main advantages. AI algorithms can automatically generate code snippets based on past code samples, freeing up engineers’ time to work on other projects. AI algorithms can also find and correct typical errors, enhancing the code’s overall quality.
Types of AI-Assisted Coding Tools
AI-assisted coding tools come in a variety of forms, each created to address a particular need during the software development process. Among the most well-liked AI-assisted coding tools are:
Code completion tools: Based on the context of the code, these tools employ AI algorithms to suggest and complete code snippets. They can decrease the possibility of syntax errors and help developers save time.
Tools for debugging: These programmes find and correct coding errors using AI techniques. They make it simpler for developers to locate and address issues since they can automatically recognise and recommend fixes for frequent coding faults.
Security Tools: To find and correct security flaws in code, these tools make use of AI algorithms. By spotting potential security vulnerabilities and recommending solutions to safeguard the code, they can assist in preventing security breaches.
Tools for testing code: By automating the testing process with AI algorithms, these tools save time and effort. They can carry out tests and find errors and performance problems, enhancing the code’s overall quality.
Benefits of AI-Assisted Coding
AI-assisted coding offers several benefits to developers, including:
Enhanced Efficiency: By cutting down on the time needed to write and debug code, AI-assisted coding can dramatically speed up the development process.
Enhanced Accuracy: AI systems can spot and correct frequent coding flaws, enhancing the code’s overall accuracy.
Improved Code Quality: AI-assisted coding can help increase the overall quality of the code by automatically locating and repairing defects and security issues.
Reduced Development Expenses: AI-assisted coding can aid enterprises in lowering development costs by accelerating the development process and lowering the likelihood of errors.
Limitations of AI-Assisted Coding
Limited Creativity: While AI-assisted coding tools might help engineers create code more quickly, they lack the imagination to come up with original solutions to challenging issues. Developers must be aware of and work within AI’s constraints.
Bias: The quality of AI models depends on the data they are trained on. The AI-assisted coding tool will be biased if the training data is skewed. Developers need to be mindful of the sources of data used to train AI models and ensure that they are diverse and representative.
Lack of knowledge: To effectively employ AI-assisted coding, developers must have a thorough understanding of the underlying techniques and technology. They might not be able to fully harness the possibilities of AI without this expertise, and they might even add errors into the code.
Conclusion: Despite these drawbacks, AI-assisted coding has the power to completely alter the software development industry. By using this technology, developers will be able to write code more quickly and precisely, which will enhance productivity and innovation.
The post What Software Developers Need to Know About AI-Assisted Coding? appeared first on Analytics Insight.
Which Technology Has The Potential To Be The Best In Ten Years?
The best technology of the coming next ten years
Experts claim that some technologies are here to rather thrive in the next coming ten years. Let’s see which of these technologies out of Artificial Intelligence, Machine Learning, Cloud Computing, Edge Computing, Computer Vision, Quantum Computing, or something bigger.
Computer Vision and Facial Recognition
Why shouldn’t machines be able to “see” as well if they can talk? With the aid of this technology, machines are now able to visually comprehend their surroundings; facial recognition is one such example. Although there will undoubtedly be more regulatory oversight of facial recognition applications, this technology is here to stay.
Faster, wiser, and more reliable wireless networking will be possible thanks to the fifth generation of cellular network technology, which will also progress a number of other trends (e.g., more connected devices and richer streams of data).
Artificial intelligence (AI) and Machine Learning
Our world will undoubtedly change as machines get more intelligence and the capacity to learn. Many of the other trends on this list are also driven by it.
Cloud Computing and Edge Computing
Data and analytics are becoming more accessible to the general public thanks to cloud computing, which stores data on other computers and allows for internet access. This will advance with edge computing, where data is processed on smart devices (like phones).
Quantum computers, which are incredibly fast computers that can solve issues that seem insurmountable, will make our current cutting-edge technology appear antiquated. Although most of the work in quantum computing is still done in laboratories, this decade may see the release of the first commercial quantum computer.
The post Which Technology has the Potential to be the Best in Ten Years? appeared first on Analytics Insight.
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