Over a year ago, I read a post about how Google Search users were becoming more frustrated as automated summaries, sponsored material, and S.E.O.- tailored garbage began to drown out the types of beneficial Web site results that Searching was designed to yield. In contrast to helping us to locate the information we were looking for (in my case, the illusive ideal toaster at the moment), Google's search has kept up its dominance partly due to habit and also because no other service has yet to provide a strong alternative.
On February 7th, Microsoft started testing a chatbot version of their Bing search engine that uses G.P.T. -4, the most recent version of OpenAI's ChatGPT big language model. The new Bing can provide its own answers to each question rather than sending consumers to other websites. With good reason, Google views the tool as posing an existential danger to its primary business. The Times reported at the end of the previous year that the company had issued a "code red." We are in a post-search experience, said Liz Danzico, Microsoft's vice president of design, who worked on creating the Bing A.I. interface.
I just got the opportunity to test-drive Bing AI., which is simply ChatGPT connected to Microsoft's search directory. Using it is like conversing with a powerful librarian whose domain spans the whole internet. The traditional search process is nearly automatic for modern Internet users:
To discover the information you are searching for, click through. If you still can't locate anything, go back to the Google Search page and change your term suggestions. With Bing A.I., websites serve as the source of information rather than the final destination, and user and bot collaboration is used to create results, according to Danzico. Bing A.I. sorts through the flood of web information for you by aggregating the aggregators and recapping the recappers. When I asked it to compile a list of more suggestions, it collected ones from publications like the Kitchn, Forbes, and Spruce Eats. When I asked which toaster Wirecutter was suggested, it responded with the Cuisinart CPT-122 2-Slice Compact Plastic Toaster. Without ever leaving the Bing A.I. website, it took me just a few seconds to get a quick summary of reliable gadgets. But, the chatbot needed help to provide me with accurate purchasing advice. It said, "I am not a person, so I can't decide for you."
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A Bing A.I. user has greater control than a Google Search user in several areas. Speaking to the chatbot requires "learning not to speak the search of twenty years ago," according to Sarah Mody, a senior product marketing manager at Microsoft. By asking the computer follow-up questions, you may restrict or refine the results of your query and avoid using isolated keywords. For example, if you ask for an itinerary for a trip to Iceland and then follow it up with, "What time does the sun set there?" the bot will know which "there" you are referring to. Yet, in other respects, the Bing user is more constrained and passive, encouraged to defer to the computer's judgment of whether the information is valuable rather than doing independent searches.
It serves as your bank, confidante, travel companion, and advisor, according to Danzico. This one-stop shopping goal is reflected in the conversation mode interface, which consists of a single chat bubble on top of a soft color gradient. Using Bing A.I. is something like a series of text-message dialogues to solve a problem. It even ends responses with a blushing, smiling emoji, saying, "I am always glad to communicate with you." after I ask it a question. There is a "new topic" button to the left of the chat box, which depicts a broom sweeping up dust. It may be clicked to restart the current chat session. Danzico informed me that the A.I. itself assisted in the development of the module.
With its Bing search engine, Microsoft has introduced a new function that enables users to create graphics using generative A.I. An upgraded version of OpenAI's DALL-E, an A.I. system that generates hyper-realistic pictures and art from English descriptions, powers the new application, Bing Image Maker. All users of the new Bing preview have access to this functionality, which can be used to convert text into images at bing.com/create. In Bing Talk, users may describe the type of picture they wish to make and, if required, give more detail. The potential uses for Bing's new function are almost endless, and using it is relatively easy. "With DALL-E, the uses of Bing's new function are practically unlimited, and it's quite simple to use," claims tech.co. The new function is initially available only in the platform's Creative mode, although it is also usable by those without access to Bing Preview.
The DALL-E deep learning model from OpenAI may now be used to produce photos in Microsoft's new AI-enabled Bing. Users may enter a description of whatever they wish to see, and Bing will quickly provide a picture, according to bgr.com. The G.P.T. -4 technology from Open A.I. will be used by the new Bing, which will also be integrated with Microsoft's Edge browser. Cnet.com claims that Edge is now the "first and only browser with an integrated picture creator" due to the upgrade.
In conclusion, users may now create photos using generative A.I. thanks to Microsoft's new Bing Image Market Tool, which is powered by an upgraded version of OpenAI's DALL-E. Everyone utilizing the new Bing trial has access to the new feature, which was initially being launched in the platform's Creative mode. To guarantee that the A.I. picture generator is used responsibly, Microsoft is collaborating with OpenAI. The function is accessible in the Bing preview and is gradually being made available to users. It will initially only be accessible via Bing's Artistic Mode but will eventually be included in the Balanced and precise modes. The Edge sidebar will also have the new picture generator accessible, and Edge will get a new icon for the image generator there.
Dairy Delivery Software
Native Milk always had to deal with route optimization to maximize profit and frequent changing of delivery boys. While this was easily manageable manually in offline business, it was a big headache when their business went digital.
We developed a mobile application for the drivers with route optimization. The total delivery area is divided into various routes and orders are sorted according to different routes. A driver is then assigned a single route.
PlanTech, (Construction Project Management software Case Study) a well-established US based construction company with huge projects, needed an improvement of their business processes and better optimization of their resources. As their business expanded, projects continuously got delayed which resulted in lawsuits by unhappy clients. We faced a variety of challenges to develop niche technological solutions for a company involved in the construction industry.
We designed separate web and mobile applications for foremen i.e. project managers and for construction staff (labourers). The applications has synchronized features such as calendar, attendance etc. that were updated real time Simple user interface for the layman was developed after many iterations and approval from the client.
We developed a dedicated central project management panel. The purpose was to have a centralised system update where all team leaders from different departments could update on their tasks at work.
We needed a fast technology to synchronize the source data to our system.
We had to run our programs real time during the horse race.
We ran our calculations on the given data, but by the time we generated an analysis of the probable winner, the market trends and positions of the race horses altered so our result had no value.
The reason behind using node.js is that we were able to establish a swift and persistent connection between betfair and our algorithm.
We could run our program with race data and generate results using the latest trends up-to-the-second with more than 99 % of the source data matching with our index.
On-Demand Delivery App
The client was clear with their needs but was not tech savvy enough to state specific requirements.
In GetIt the driver and vendor are treated as separate entities unlike a regular taxi application where such division does not exist.
We initiated brainstorming sessions with the client to plan out the project.
We built application functionality to optimize the process while simultaneously taking all stakeholders into account.
The client had an understanding of NFC but they had no idea of how the technology behind NFC works.
The client needed a secure platform as they wanted to keep the customer data secured.
We did a knowledge transfer with the client and explained the technology behind NFC and QR code.
We undertook a variety of security measures to prevent any leakage of user data.
The oldest insurance company of Lebanon reached out to us. They needed to digitize their operations and develop a lending application.
The target customers of the bank were mostly laymen with not much technical know-how. They consisted of old people, rural families, middle class urban families etc. Thus digitization was a challenge.
We developed a mechanism for the bank to directly disburse the loan amount to the customer’s bank account. This saved a trip to the bank of the customer and saved a lot of time for both the parties.