DeepSeek vs ChatGPT how do they compare?

The tasks I set the chatbots were simple but they point to something much more significant – the winner of the so-called AI race is far from decided. How would the chatbots deal with explaining such a complex and nuanced piece of history? ChatGPT responded in seconds with six neatly summarised ideas. One was about a boy called Max who worked as a postman on the moon and was sent on an adventure.

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Google’s Gemini assistant gave a similar synopsis to ChatGPT and DeepSeek, and also gave the user the opportunity to click on links from reputable sources such as the Imperial War Museum in the UK. None of these stories are going to challenge Harry Potter or Roald Dahl any time soon, but it is a start for more refined ideas to flourish perhaps. I asked ChatGPT and DeepSeek to give me „ideas for a story for children about a boy who lives on the moon”. ChatGPT’s answer to the same question contained many of the same names, with „King Kenny” once again at the top of the list.

Industry titans have described it as a wake-up call for the West. Venture capitalist Marc Andreessen hailed the success of DeepSeek as a „Sputnik moment”, suggesting it will inject a new level of competition and innovation into the AI landscape. The downturn was triggered by the release of DeepSeek’s latest AI model, which it claims operates at a fraction of the cost of OpenAI’s ChatGPT, the current poster child for modern AI with more than 300 million active users. On Monday, US stock indices took a nosedive as jittery investors dumped tech stocks, spooked by fears that AI development costs had spiralled out of control. The sell-off sparked a trillion-dollar wipeout, according to Bloomberg, hitting US and European chipmakers, AI companies, and energy firms the hardest.

DeepSeek vs ChatGPT – how do they compare?

The buzz around the Chinese bot has hit a fever pitch, with tech heavyweights weighing in. On Monday, Elon Musk poured cold water on DeepSeek’s claims of building its advanced models using far fewer, less powerful AI chips than its US competitors. DeepSeek is increasingly a mystery wrapped inside a conundrum. There is some consensus on the fact that DeepSeek arrived more fully formed and in less time than most other models, including Google Gemini, OpenAI’s ChatGPT, and Claude AI. The emergence of Chinese AI app DeepSeek has shocked financial markets, and prompted US President Donald Trump to describe it as „a wake-up call” for the US tech industry. For all the vast resources US firms have poured into the tech, their Chinese rival has shown their achievements can be emulated.

• Meta, NVIDIA, and Google’s stock prices have all taken a beating as investors question their mammoth investments in AI in the wake of DeepSeek’s models.
• It wasn’t particularly good, with a simple focus on a character going from A to B, but it was a start – and it was impressive how quickly it delivered it.
• The tasks I set the chatbots were simple but they point to something much more significant – the winner of the so-called AI race is far from decided.
• Since we’re poor and our paymasters were unlikely to approve Grok 4 Heavy’s $300 subscription for just one question, we asked the lighter Grok 4 version available via the $30 tier.

Key stats, star players and favourites – meet Euro 2025 final four

• DeepSeek responded in seconds, with a top ten list – Kenny Dalglish of Liverpool and Celtic was number one.
• Alexandr Wang, CEO of Scale AI, who became the world’s youngest self-made billionaire in 2022, warned that the gap between US and Chinese AI is narrowing.
• DeepSeek’s claim that its R1 artificial intelligence (AI) model was made at a fraction of the cost of its rivals has raised questions about the future about of the whole industry, and caused some the world’s biggest companies to sink in value.
• Earlier on Monday, DeepSeek said it was restricting sign-ups to those with Chinese mobile phone numbers.

He highlighted an example from history – James Watt is synonymous with the steam engine, even though he improved it rather than invented it. When you ask ChatGPT what the most popular reasons to use ChatGPT are, it says that assisting people to write is one of them.

He also pointed out that for coders, the combination of models can lead to success. This was echoed by Addy Osmani, who is the Head of Chrome Developer Experience at Google. When ChatGPT experienced an outage last week, X had a number of amusing posts from developers saying they couldn’t do their work without the faithful tool by their side. DeepSeek responded in seconds, with a top ten list – Kenny Dalglish of Liverpool and Celtic was number one. It helpfully summarised which position the players played in, their clubs, and a brief list of their achievements.

The emergence of Chinese AI app DeepSeek has shocked financial markets, and prompted US President Donald Trump to describe it as „a wake-up call” for the US tech industry. Mentioning Baseball-Reference simulations or FanGraphs projections helps ground predictions in established frameworks, rather than pure speculation. DeepSeek doubled down on Los Angeles with a 23% probability, but noted the Dodgers might be riding too much positive sentiment. Despite favoring LA to win, the model said it would rather bet on the Phillies because the risk-to-reward ratio was more compelling. Rather than focusing on years of experience, the company prioritises raw talent, with many of its developers being recent graduates or newcomers to the AI field. This approach, according to its founder, has been key to the company’s growth and innovation.

Grok 4 Predicts Dodgers for World Series Win—But Other AIs Aren’t So Sure

However, Mr Wang expressed doubts about DeepSeek’s claims of using fewer resources to build its models, speculating the company may have access to a large number of chips. Alexandr Wang, CEO of Scale AI, who became the world’s youngest self-made billionaire in 2022, warned that the gap between US and Chinese AI is narrowing. Speaking to CNBC, the entrepreneur called DeepSeek’s latest AI model an “earth-shattering” release. The issues, which began at around 1.30pm UK time, are slowing down the website and playing havoc with the company’s API (the tech that lets other apps talk to DeepSeek’s AI). Either way, I do not have proof that DeepSeek trained its models on OpenAI or anyone else’s large language models – or at least I didn’t until today.

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DeepSeek’s claim that its R1 artificial intelligence (AI) model was made at a fraction of the cost of its rivals has raised questions about the future about of the whole industry, and caused some the world’s biggest companies to sink in value. While the Chinese-US tech race is marked by increasing protectionism, DeepSeek has taken a different approach. Following in the footsteps of companies like Meta, it has decided to open-source its latest AI system.

Interestingly, it gave the Tigers a razor-thin edge over the Dodgers—less than one percentage point separated their odds. Grok’s predictions are certainly in line with other major platforms, including ESPN BET, which shows the Dodgers sitting at +225 as the MLB season approaches the All-Star break. The Detroit Tigers (+750), who are running away with the AL Central, have emerged as a dark horse contender with baseball’s best record at 59-35. Mr Liang has credited the company’s success to its fresh-faced team of engineers and researchers. DeepSeek is an AI start-up that was spun off from a Chinese hedge fund called High Flyer-Quant by its manager, Liang Wenfeng, according to local media.

Enterprise Chatbots: What are they, how to build them & more Guide

It would be prudent to locate these trials in an innovation hub with the added support of the contact center. This contact centers will have the precise mix of skill-sets to make it workable and later try in real-time. While creating a channel pyramid, at the topmost part would be the chatbots. The end goal with the chatbot is to achieve enterprise chatbot solution high-quality customer experience and service staff assistance. Does the platform have the ability to share messages between users, bots, and cross-functional systems? This would include sharing messages that are stored between users, bots, and systems whole automatically logging as well as success and failure categorization of messages.

Explore our enterprise software products, open source solutions and accelerators on EPAM SolutionsHub. Zendesk is a developer-friendly platform that also integrates with dozens of other support and CRM tools, with existing apps to work with an array of systems from Salesforce to WooCommerce. You can also filter and export the data and create custom dashboards and reports. This will help you gain insights into your chat operations and customer behavior, and optimize your chat strategy accordingly. A good chatbot tool should also comprise customizable pre-chat forms, detailed reports and analytics, chat routing capability, and comprehensive post-chat surveys. You should evaluate the different platforms based on your specific needs and select the one that fits the bill.

Best Practices to Follow When Using Enterprise Chatbots

With an industry-standard average handle time of 6 minutes, companies are already spending over 100,000 minutes each month talking to customers. The cost of an enterprise chatbot varies based on its complexity, customization, and the specific requirements of the business. Generally, it involves an initial setup cost and ongoing maintenance fees. Prices can vary significantly, so it’s best to consult with providers like Yellow.ai for a tailored quote based on your business needs. Continuously monitor the performance of your chatbots using analytics.

With the bulk of your repetitive tasks fully automated, agents now have the time they need to help with more complex cases. Rule-based chatbots rely on predefined buttons or keywords to answer simple questions. To get assistance, customers can only click or tap the options a chatbot offers them or ask the exact questions that the bot was trained on.

#18. Best Enterprise Chat Software: Ada

An enterprise chatbot can collect and analyse vast amounts of customer data during interactions. This is especially true for larger and enterprise-level organisations. Enterprise chatbots can automate huge volumes of customer requests and can even act as virtual assistants. When analyzing different enterprise chatbots, it’s vital to know what AI they’re leveraging and how they’re using it. While chatbots have already been embraced by smaller companies, larger players are the ones who truly stand to benefit from automation technology.

• Enterprise chatbot solutions include a range of tools and platforms to create chatbot virtual assistants for internal systems and customer communication.
• Partner with us and elevate your enterprise with advanced bot solutions.
• Whether a company is seeing seasonal peaks or sustained growth, a chat solution gives support teams limitless capacity.
• Capacity is an enterprise support automation platform for customer service and operations automation.

In November of 2023, Open AI introduced custom GPTs, or GPTs for short. Companies can upload proprietary files to GPTs, integrate GPTs with APIs, and privately share GPTs to co-workers. For example, selecting the precise messaging platform (Facebook Messenger, Slack or your Website) is the key point of the discovery phase. Ultimately the preference should be focused as per your target audience, and you need to meet them where they are. Then, think about how to design your bot’s tone, language, and functionality to best serve those consumers. They can even remember previous interactions and learn from them over time.

The takeaway: enhance customer satisfaction with AI chatbot solutions

Simultaneously, these tools can identify potential leads, guide purchasing decisions, and drive revenue growth. However, modern platforms like Yellow.ai offer no-code solutions, allowing businesses to create and deploy chatbots without needing any programming skills. It democratizes access to AI technology, making it more accessible to a broader range of businesses. It is a no-code chatbot platform that offers a convenient and user-friendly drag-and-drop interface, helping anyone build rule-based and AI chatbots.

By integrating your chatbot with a knowledge base system like ProProfs Knowledge Base, you can provide customers with instant access to self-help articles. While chatbots are designed to handle a variety of user queries, there may be situations where a direct response is not readily available or the question requires more detailed information. In such cases, self-help articles can serve as a valuable resource to bridge the gap.

Role of simulation in the digital twin for energy and process industries

Fallmann further explained DToCs are created by connecting scattered data from different silos, departments and data sources, which includes consolidating unstructured and structured information. The enhanced experiences driven by DToCs can extend across the physical and digital worlds. For example, DToCs can assist with the design and planning of retail stores and other physical spaces.

Physics-based simulation models, at varied length scales, allow engineers to capture this complexity and use it to explore design and operating spaces to find optimum conditions. Finally, in the long term, the Gartner report indicated brands should create the digital twin of a team of customer experience specialists that will be used to discuss the implications and merits of DToC on operational processes and the overall brand business model. Privacy regulations and laws should be discussed regularly, and the team should work on tracking dynamic personas and the stages of their relationships. “One key innovation making DToC possible is the availability of cloud-scale computing resources combined with modern AI and ML technologies,” Jones explained.

AI can help HR act on the massive amount of data it collects daily by planning and testing new processes and services in the virtual world long before they see actual daylight. Such a contextual model can drive key decisions which could have been missed, overlooked or not readily visible otherwise. Imagine a digital representation of a process or machine with all current operational parameters and predictions against future orders for material availability, tool life and maintenance schedules. A planner can see how many orders they can schedule with current on-hand inventory and machine supplies. A plant manager can visualize the production rate with potential bottlenecks, and a maintenance manager can determine the remaining tool life and plan the next maintenance. Data from MES is essential for creating a comprehensive digital twin throughout a manufactured product’s life cycle, especially in operational stages beyond engineering and design.

Digital Twins Of The Customer: The Future Of Data Collection

• It isn’t always easy to determine the nature of an issue based on a phone call or chat conversation alone, especially as products and services continue to become more and more complex.
• This includes simulating, and even anticipating a customer’s behaviour, wants, needs and preferences, as well as the ability to test these in different scenarios.
• Entire stores can be replicated via digital twins, and virtual customers walking on the shop floor can be analyzed based on their behavior and the interactions they have on the floor.
• This enables them to better understand what a specific customer purchases, how frequently they buy, how much money they spend and how often they frequent the brand’s website.
• By bridging the gap between the physical world and the digital world, digital twins can enable a brand’s customer service to provide this differentiated level of service through the data they provide.

DToCs can simulate how specific cohorts will respond before a customer journey is defined, saving time and money spent on testing underperforming journey interventions. Forty-one percent of respondents who’ve achieved full customer data integration indicated they were still unable to prove the value of marketing, according to Gartner’s 2022 Marketing Data & Analytics Survey. Developing a 360-degree view requires multiple tools and partners to collect a variety of data types, including behavioral and attribute data. Because of the added complexity and expense, only 14% of organizations have actually achieved a 360-degree view, according to our research. A 360-degree view of the customer is the output of a consolidated, integrated, exhaustive set of data relevant to a company’s relationship with its customers or prospects.

How Digital Twins In HR Can Help Predict Problems And Lead To Organizational Change

At the same time, enterprises have been busy finding ways to get the most value from their investment using various marketing analytics tools. Our sister community, Reworked, gathers the world’s leading employee experience and digital workplace professionals. And our newest community, VKTR, is home for AI practitioners and forward thinking leaders focused on the business of enterprise AI.

Subha Tatavarti, CTO, Wipro, told VentureBeat there have been several important milestones in using tools for simulating customers to improve experiences. The most notable have been the ability to define customer experience transformation objectives, including the capability to identify and assess data assets, personas and processes and tools for building and testing behavior models. New ModelOps approaches for integrating monitoring and enhancing the models are also advancing the field. An important consideration when employing a digital twin is that organizations are recording data and transferring it via cloud technology. This data may be sensitive and contain intellectual property, which puts the organization at risk of a breach. To avoid this, security should be considered a priority from the start for organizations integrating digital twin technology into their customer experience.

How Is a Digital Twin of a Customer Created?

The Infrastructure Cloud will also carry benefits beyond a single project, acting as a source of infrastructure schema and data that can be used on future projects. “Unlike traditional, reactive approaches such as basic customer segmentation or analytics, digital twins go beyond static profiles and actively simulate customer behaviour, wants, needs, and preferences,” he said. In today’s disruptive economy, taking a commodity area of the business, such as cleaning, back in-house is a challenging conversation for business leaders. However, as CIO Emiliano Sorrenti reveals, data enables the organization to believe in a change of course, take control of areas typically outsourced and show how it benefits the customer and ultimately the organization. As organizations continue to become data-driven, data could well be the key to another significant change in the world economy and the current ethos towards outsourcing. By including IoT technology and sensors into products that gather data, information can be sent back to the organization to provide on-the-ground insight into how products are being used, how well they’re performing and the status of the operating system.

When internal battery monitors indicate low levels in devices, you tailor offers to include extended battery-life models. If a customer typically adds an additional 30 seconds after microwaving their dinner, flag them as a target for a higher-wattage model, or offer them a service call to check the output of the appliance. Global beauty chain Sephora builds DToCs to predict products that customers would most likely be interested in, based on their purchase and browsing history.

Digital ways to improve CX.

Combined with other technologies, such as AR, digital twins can offer a truly immersive environment where anything can be turned into a digital experience. Whether the goal is to execute a new strategy, grow a more competitive workforce, improve organizational effectiveness or identify potential issues and obstacles, this is the technology that can be the linchpin between it all. As businesses connect more expansive twin networks and build out this virtual infrastructure, the prediction and automation capabilities will gradually grow. In turn, HR leaders will be able to expand real-time agility at scale and usher in new innovation processes, all the while working out the kinks beforehand. “Initially, it will be hard to convince customers they need a digital twin that your brand stores and that the customer should help create it to improve their experience,” said Jonathan Moran, head of MarTech solutions marketing at SAS.

How Will Digital Twins of Customers Impact CX?

These digital twins are more in the engineering and design domain and answer „what-if” questions to assess feasibility before significant investments in building or acquiring physical systems. With digital twins, your engineers can determine the ideal design before the unit goes into production. Operations engineers can react to real-time product disturbances based on the deep insights gained during R&D. In other words, when it comes to providing a better overall customer experience, physical objects paired with digital twin technology are a perfect match.

There will be more use cases beyond maintenance for productivity, quality, supply chain and more. There have been many definitions of digital twins, each correct in its own context, as the concept means different things to different people. With iTwin Capture, users can take drone imagery or point cloud scans of infrastructure assets and start building digital twins directly off of these reality captures. In iTwin IOT, data from sensors and other Internet of Things devices mounted on infrastructure assets or at jobsites can flow directly into the iTwin platform, granting the digital twin a more active role in safety and environmental monitoring. Using simulation to understand complexity creates opportunities to deploy the insights to your businesses’ advantage.

Minnesota mom accused of having sex with two boys, 15, at hotel after marriage spat

Hotel chatbots can also offer guests the option to choose their preferred check-in and check-out times and accommodate their requests if possible. Furthermore, hotel chatbots can handle the billing and invoicing and send guests receipts and thank you messages. Hospitality chatbots excel in turning each client’s stay into a one-of-a-kind adventure.

• It can answer basic questions and provide instant responses, which is extremely useful when the front desk staff is busy.
• To experience its features, you can join the free trial and enjoy full access.
• You can develop a chatbot for pretty much any social channel, you’ll just need to be sure that you’re using a chatbot platform that will work best for your needs.
• Flow XO offers a free plan for up to 5 bots and a standard plan starting at $25 monthly for 15 bots.
• Chatbots also enable guests to make special requests, such as additional pillows or room preferences, and they can provide information on hotel events and special promotions.
• Additionally, these chatbots can be a powerful lead generation source, converting new leads into customers through follow-up processes or targeted marketing campaigns.

In the realm of hospitality, the adoption of digital assistants has marked a significant shift towards enhancing travelers’ experiences. Oracle highlights the importance of comfort, control, and convenience – key elements in modern customer support solutions. Our solution is more than just a simple hotel chatbot – It can handle a variety of tasks for guests including answering FAQs, handling pre-check-in, taking guests’ room service orders, and much more. By unifying chatlyn AI with chatlyn.com, hotels can transform their guest communication processes, making them more agile, efficient and customer-centric.

Provide multilingual support

Beyond their involvement in guest interactions, chatbots serve as valuable sources of data and insights for hotels. By examining conversations and interactions with guests, hotels can access vital information regarding guest preferences, pain points, and areas requiring enhancement. This data can be harnessed to refine marketing strategies, optimize service offerings, and boost overall operational efficiency. Furthermore, using chatbots as first-level customer support, requests can be filtered before reaching you, saving you time and providing prompt assistance to hotel guests.

The integration of chatbots in hotel industry has ushered in a new era of efficiency, convenience, and enhanced guest experiences. These AI-driven virtual assistants are not just a passing trend; they have chatbot for hotels become essential tools for hoteliers looking to stay ahead of the curve. The benefits of chatbots in hotel industry are multifaceted and have a significant impact on both guests and hotel operations.

Hotel Chatbot

Keep reading to learn more about hotel chatbots and how your property can implement them. Chatbots can be used by hospitality businesses to check their clients’ eligibility for visas (see Figure 5). Additionally, chatbots provide details about the paperwork consulates require, upcoming visa appointments, and may typically assist consumers through this challenging and perplexing process. You may offer support for a variety of languages whether you utilize an AI-based or rule-based hospitality chatbot.

Lastly, with Whitle for Cloudbeds, your property will access key analytics metrics such as response time, sentiment, number of inbound messages, upsells, and direct bookings. Regularly monitoring and evaluating the performance of AI chatbots and human staff is essential to maintaining a high standard of customer service. Chatbots can boost your upselling potential by providing a personalized guest experience. You can craft personalized upselling opportunities targeting guests with room upgrades, spa services, on-property restaurants, and more.

How to choose the best hotel chatbot?

Unlike human staff, chatbots are available 24/7, ensuring round-the-clock assistance for guests. This constant availability is invaluable for handling reservations, providing information about amenities, and addressing customer queries at any time of the day or night. This contributes to an enhanced customer experience and builds trust in the brand’s commitment to customer satisfaction. A Hotel chatbot can offer various services, including room reservations, check-in/check-out procedures, information about amenities, and local recommendations.