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What is the best generative AI chatbot? ChatGPT, Copilot, Gemini and Claude compared – ReadWrite

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The generative AI chatbot market is rapidly growing and while OpenAIs ChatGPT might remain the most mainstream, there are many others on the market competing to be the very best for the general public, creatives businesses and anyone else looking to see how artificial intelligence can improve their day-to-day lives.

But which one is the best? ChatGPT may have been the first to go mainstream, but is it the market leader? Which companies have entered the generative AI chatbot space with a product worthy of taking on OpenAIs offering?

Arguably the most popular on the market, other than ChatGPT, are Microsofts CoPilot, Claude by Anthropic and Gemini, which is owned by Google.

Here we look at all four of these popular generative AI chatbots and consider which one is the best for certain uses.

At this point who hasnt heard of ChatGPT? It was the first AI to go completely mainstream and show just how powerful AI can be to the wider public. It made such a splash, it reached one million active users within weeks of launching and now has over 180 million users worldwide and counting.

Its creator, OpenAI, has worked tirelessly to keep it at the forefront of the market by launching new and improved features, including a Pro Version (GPT-4), web browsing capabilities and image generation, powered by Dall-E. Theres even the option to create your custom-made GPT-powered bot on any subject you want.

The free version, GPT-3.5, is only trained on human-created data up to January 2022, so its restrictive if youre looking to use it for more up-to-date purposes involving real-time information. However, the Pro version, GPT-4, is available for $20 a month and is trained with data up to April 2023. Although thats still relatively time-restrictive, it does also have access to the internet.

Yes, at most taks, although it has had its controversies due to inaccuracies and misinformation, such as lawyers using it for case research and the chatbot fabricating historic cases. However, it remains a good first port of call for anyone just looking for an easy-to-use AI chatbot. It should be noted GPT-4 is significantly more effective than GPT-3.5, but the former is only available to paying users.

CoPilot is Microsofts own generative AI chatbot, originating initially as a chat option on their search engine, Bing. It is now a stand-alone AI chatbot and is naturally built into all of Microsofts productivity and business tools, such as Windows and Microsoft 365.

Interestingly, Microsoft is a key investor in OpenAIs ChatGPT, which was used to launch Bing Chat. GPT-4 continues to power CoPilot today and, like ChatGPT, also uses Dall-E to generate images.

That might sound like its no different to ChatGPT but Microsofts key USP with CoPilot is that it is ingested into all of the Microsoft tools and products billions of people use around the world every single day.

It behaves as an assistant to those who rely on the likes of Microsoft Excel, Microsoft Word and other 365 platforms to perform day-to-day tasks.

The clue is in the name, but CoPilot is good for people who need help when using Microsofts extensive suite of tools, products, and software. It essentially behaves as an assistant, or co-pilot, inside these products.

From spreadsheets, text documents to computer code, CoPilot can help create it all with natural language prompts. Coders on the Microsoft-owned Github find it to be a very popular AI chatbot to use.

Formerly called Bard, Gemini is owned by Google is another generative AI chatbot that is improving rapidly over time to rival GPT-4.

One major plus to Gemini is that it has no limit to the number of responses it can give you, unlike GPT-4 and CoPilot, which both have limits in this area.

That means you can essentially have long discussions with Google Gemini to find the information you require. On top of that, and rather unsurprisingly, Gemini bakes in a lot of the elements were all so used to from Googles search engine. For example, if you ask it to help you plan a trip to a specific country, it will likely provide you with a map of that destination, using Google Maps, and may even dip into Google images to give you some kind of visual representation of the information its giving you.

Users can also add extensions, akin to Chrome extensions, for use in tools such as YouTube, Maps and Workspace.

If youre a big fan of Google products and apps, Gemini is likely the generative AI chatbot for you, but its also perfect if youre looking for speedy interactions and unlimited prompts.

Thats because, while it isnt faster than GPT-4, it has generally been found to be faster than CoPilot and GPT-3.5. But its not flawless and was recently caught up in controversy over the accuracy of its image generator amid claims it was woke.

The creators of Claude, Anthropic, is an AI company started by former OpenAI employees.

Its something of an all-rounder, being a multi-modal chatbot with text, voice and document capabilities.

But the main praise it has had since its launch in early 2023 is the fluency of the conversations it can hold, its ability to understand the nuances in the ways humans communicate and its ability to refuse to generate harmful or unethical content, instead often suggesting alternative ways to accomplish what users are asking of it without breaking its own guidelines.

Claude recently launched Claude 3, which is a family of AI chatbots (Opus, Sonnet and Haiku) that offer varying levels of sophistication depending on what users require, and Anthropic claim its most powerful AI in the family, Opus, is almost 87% trained to undergraduate levels of knowledge and accuracy and 95% common knowledge and accuracy.

Claudes extensive and powerful capabilities, such as being able to rapidly read, analyze and summarize uploaded files, make it a very useful generative AI chatbot for professionals.

It is also trained on real-time data, which undoubtedly speaks to Anthropics impressive claims of accuracy and levels of knowledge.

On Claudes website, Anthropic claims it is a next-generation AI assistant built for work and trained to be safe, accurate and secure.

Featured Image: Ideogram

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What is the best generative AI chatbot? ChatGPT, Copilot, Gemini and Claude compared - ReadWrite

Leveraging Cloud Computing and Data Analytics for Businesses – Analytics Insight

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In todays dynamic business landscape, organizations are constantly seeking innovative ways to drive efficiency, agility, and value. Among the transformative technologies reshaping business operations, cloud computing and data analytics stand out as powerful tools that, when leveraged effectively, can yield significant business value. By integrating these technologies strategically, businesses can unlock new opportunities for growth, streamline operations, and gain a competitive edge in the market.

Cloud computing offers organizations the flexibility to access computing resources on-demand, without the need for substantial investments in hardware and software infrastructure. This agility enables businesses to scale their operations rapidly in response to changing market demands, without the constraints of traditional IT environments. By migrating workloads to the cloud, organizations can streamline their operations, reduce downtime, and optimize resource utilization, leading to improved efficiency across the board.

In todays data-driven world, businesses are sitting on a goldmine of valuable information. Data analytics empowers organizations to extract actionable insights from vast volumes of data, enabling informed decision-making and driving business value. By leveraging advanced analytics techniques, such as machine learning and predictive modeling, businesses can identify trends, anticipate customer needs, and optimize processes for maximum efficiency. Furthermore, effective data governance and quality assurance practices ensure that insights derived from data analytics are accurate, reliable, and actionable.

Cloud FinOps, a practice focused on optimizing cloud spending and maximizing business value, plays a crucial role in ensuring that cloud investments deliver tangible returns. By tracking key performance indicators (KPIs) and measuring the business impact of cloud transformations, organizations can quantify the value derived from their cloud investments. Cloud FinOps goes beyond cost savings to encompass broader metrics such as improved resiliency, innovation, and operational efficiency, providing a comprehensive view of the business value generated by cloud initiatives.

Cloud computing infrastructure provides organizations with the foundation they need to harness the power of data analytics at scale. By leveraging cloud-based platforms for big data processing and analytics, organizations can access virtually unlimited computing resources, enabling them to analyze large datasets quickly and efficiently. Additionally, cloud infrastructure offers built-in features for data protection, disaster recovery, and security, ensuring that sensitive information remains safe and secure at all times. Furthermore, the pay-as-you-go pricing model of cloud services allows organizations to optimize costs and maximize ROI on their infrastructure investments.

Cloud computing accelerates the pace of software development by providing developers with access to scalable resources and flexible development environments. By leveraging cloud-based tools and platforms, organizations can streamline the software development lifecycle, reduce time-to-market, and improve collaboration among development teams. Furthermore, cloud-based development environments enable developers to experiment with new ideas and technologies without the constraints of traditional IT infrastructure, fostering innovation and driving business growth.

In conclusion, cloud computing and data analytics represent powerful tools for driving business value in todays digital economy. By embracing these technologies and implementing sound strategies for their deployment, organizations can unlock new opportunities for growth, enhance operational efficiency, and gain a competitive edge in the market. With the right approach, cloud computing and data analytics can serve as catalysts for innovation and transformation, enabling businesses to thrive in an increasingly data-driven world.

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European Space Agency Launches First Metal 3D Printer To ISS – Aviation Week

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A metal 3D printer could allow astronauts to make complex metallic structures in orbit, as well as at future Moon and Mars bases.

Credit: ESA

The European Space Agency (ESA) has launched what it says is the first metal 3D printer to be hosted on the International Space Station (ISS). While plastic 3D printers have been used aboard the ISS since 2014, a machine that prints stainless steel would be new and could allow astronauts greater...

European Space Agency Launches First Metal 3D Printer To ISS is published in Aerospace Daily & Defense Report, an Aviation Week Intelligence Network (AWIN) Market Briefing and is included with your AWIN membership.

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Beyond Cloud Nine: 3 Cutting-Edge Tech Stocks Shaping the Future of Computing – InvestorPlace

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Source: Peshkova / Shutterstock

Cloud computing has helped millions of companies save time and money. Businesses dont have to worry about hardware costs and can access data quickly. Also, cloud computing companies offer cybersecurity resources to keep data safe from hackers.

Many stocks in the sector have outperformed the market over several years and can generate more gains in the years ahead. Therefore, these cutting-edge tech stocks look poised to expand and shape the future of cloud computing.

Source: Sundry Photography / Shutterstock.com

ServiceNow(NYSE:NOW) boasts a high retention rate for its software and continues to attract customers with deep pockets. The company has over 7,700 customers and almost 2,000 of them haveannual contract values that exceed $1 million.

Further, NOWs remaining performance obligations are more than triple the companys Q3 revenue. The platform allows businesses to runmore efficient help desksand streamline repetitive tasks with built-in chatbots. Also, ServiceNow offers high-level security to protect sensitive data.

Additionally, the company has been a reliable pick for investors who want to outperform the market. Shares are up by 74% over the past year and have gained 284% over the past five years. The stock is trading at a 58-forward P/E ratio. The companys net income growth can lead to a better valuation in the future. And, ServiceNow more than tripled its profits year over year (YOY) in thethird quarter. Revenue grew at a nice 25% clip YOY.

Source: IgorGolovniov / Shutterstock.com

Alphabet(NASDAQ:GOOG, NASDAQ:GOOGL) makes most of its revenue from advertising and cloud computing. Google Cloud has become a popular resource for business owners, boasting over 500,000 customers. Also, Alphabet stands at the forefront of AI , enhancing the tech giants future product offerings.

Notably, the companys cloud segment remains a leading growth driver. Revenue for Google Cloud increased by 22.5% YOY in thethird quarter. And, Alphabets entire business achieved 11% YOY revenue growth, which is an acceleration from the previous period.

Also, Google Cloud reported a profitable quarter, swinging from a $440 million net loss in Q3 2022 to $266 million net income in Q3 2023. Alphabet investors positive response to the news helped the stock rally by 57% over the past year. The stock has gained 163% over the past five years.

Alphabet currently trades at a 22-forward P/E ratio and has a $1.8 trillion market cap. Finally, the companys vast advertising network gives them plenty of capital to reinvest in Google Cloud and the companys smaller business segments.

Source: Karol Ciesluk / Shutterstock.com

Datadog(NASDAQ:DDOG) helps companies improve their cybersecurity across multiple cloud computing solutions. Cloud spending is still in its early innings and is expected to reach$1 trillion in annual spending in 2026. The company is projected to have a $62 billion total addressable market (TAM) in that year.

Specifically, Datadog removes silos and friction associated with keeping cloud applications safe from hackers. Over 26,000 customers use Datadogs software including approximately 3,130 customers with annual contract values exceeding $100,000. The companys revenue growth over the trailing twelve months is currently 31%. Further, operating margins have improved significantly to help the company secure a net profit in the third quarter.

In fact, DDOG has a good relationship with many cloud computing giants, including Alphabet. The two corporationsexpanded their partnership to close out 2023.

Investors have been rushing to accumulate Datadog stock in recent years. Shares have gained 68% over the past year and are up by 240% over the past five years. DDOG is still more than 35% removed from its all-time high. However, continued revenue growth and profit margin expansion can help the stock reclaim its all-time high.

On this date of publication, Marc Guberti held a long position in NOW. The opinions expressed in this article are those of the writer, subject to theInvestorPlace.com Publishing Guidelines.

Marc Guberti is a finance freelance writer at InvestorPlace.com who hosts the Breakthrough Success Podcast. He has contributed to several publications, including the U.S. News & World Report, Benzinga, and Joy Wallet.

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JPM2024: Big Tech Poised to Disrupt Biopharma with AI-Based Drug Discovery – BioSpace

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Pictured: Medical professionals use technology in healthcare/iStock,elenabs

2024 will continue to see Big Tech companies enter the artificial intelligence-based drug discovery space, potentially disrupting the biopharma industry. That was the consensus of panelists at a Tuesday session on AI and machine learning held by the Biotech Showcase, co-located with the 42nd J.P. Morgan Healthcare Conference.

The JPM conference got a reminder of Big Techs inroads into AI-based drug discovery with Sundays announcement that Google parent Alphabets digital biotech company Isomorphic Labs signed two large deals worth nearly $3 billion with Eli Lilly and Novartis.

Big Tech is coming for AI and its coming in a big way, said panel moderator Beth Rogozinski, CEO of Oncoustics, who noted that the AI boom has seen the rise of the Magnificent 7, a new grouping of mega-cap tech stocks comprised of the seven largest U.S.-listed companiestech giants Amazon, Apple, Alphabet, Microsoft, Meta Platforms, Nvidia and Tesla.

Last year, the Magnificent 7s combined market value surged almost 75% to a whopping $12 trillion, demonstrating their collective financial power.

Six of the seven have AI and healthcare initiatives, Rogozinski told the panel. Theyre all coming for this industry.

However, Atomwise CEO Abraham Heifets made the case that with Big Tech getting into biopharma there is a mismatch of business models, with the Isomorphic Labs deals looking, in his words, like traditional tech mentality. Heifets contends that its unclear whether the physics of the business will support the risk models in the industry, adding that the influence of small- to mid-size companies focused on AI-based drug discovery should not be underestimated.

Google DeepMinds AlphaFold is the foundation of Isomorphic Labs platform. The problem, according to ArrePath CTO Kurt Thorn, is that its easy for these technologies to have fast followings only to see their market shares wane over time. If you look at AlphaFold, which was a breakthrough when it came out, within two or three years afterwards there were two or three alternatives.

Thorn concluded that its not clear that the market sizes are large enough to amortize a large AI platform for drug discovery across an entire industry.

Rogozinski emphasized that these switching costs are a potential barrier to entry in moving to such drug discovery platforms as Big Tech tries to get companies to transition.

Vivodyne CEO Andrei Georgescu commented that drug discovery and development is a difficult and complex process that is not a function of how big your team is or how many people you have behind the bench. The key to the success of AI in biopharma is in the generation and curation of datasets, according to Georgescu, who said the industry is facing a bottleneck on the complexity of the data and the applicability of the data to the outcomes that we want to confirm.

Providing some levity and perspective to Tuesdays AI session, Moonwalk Biosciences CEO Alex Aravanis told the audience he was late to arrive as a panelist due to an accident on the freeway involving a Tesla self-driving vehicle. So, clearly, they need more data, Aravanis said.

Marc Cikes, managing director of the Debiopharm Innovation Fund, told BioSpace that while he has been heartened to see the rise of AI and machine learning usage in biopharma, the forecast remains murky in 2024.

The impact of AI for drug discovery is still largely unknown, Cikes said. The public market valuation of the few AI-drug discovery companies is significantly down versus their peak price, and a large chunk of the high-value deals announced between native AI companies and large pharmas are essentially based on future milestone payments which may never materialize.

Greg Slabodkin is the News Editor at BioSpace. You can reach him atgreg.slabodkin@biospace.com. Follow him onLinkedIn.

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