The Generative AI War: Who Is Winning This Competitive Arena
The number of patent filings attempting to safeguard this technology has increased along with the surge in interest in generative AI.?
However, OpenAI, the firm behind ChatGPT, is not the industry leader in AI applications. Furthermore, it isn’t Google, with its innovative Transformer method. Microsoft is not also OpenAI’s key partner. Instead, it is IBM, the forerunner of Big Tech, whose Deep Blue computer, driven by artificial intelligence, became the first to defeat a world chess champion in 1997.?
According to a recent IFI Claims Patent Services analysis, IBM has 1,591 generative AI-related patent applications, more than twice as many as Microsoft filings and a third more than Google.
According to IFI, patent filings are an excellent way to understand what "hot" technology businesses are pursuing and trying to keep safe.
Over the last five years, awards have increased by 16%, whereas the number of patent applications in generative AI has increased at a compound annual rate of 31%. (Although the technology behind generative AI seems relatively new, it has been around for years.)
Generative AI accounted for 22% of the over 500,000 AI patent applications filed in the last five years. According to the paper, “the world is certainly heading in this direction, and companies have been hard at it in the race to claim patent space in the area.”?
Which is the primary field that generative AI patent applications target? Biological models—that is, models from medicine, ecology, microbiology, and virology—are the basis for computing arrangements. One example is making a virtual heart to forecast the progression of cardiovascular disease. Pattern recognition ranks second in the highest category.
The Competition for the Best LLM
According to a Reuters article on March 21, Cohere, the newest AI startup, is on the verge of obtaining $500 million in investment, which could possibly increase its value to $5 billion. The business, which creates fundamental AI models akin to ChatGPT’s OpenAI, saw sales rise this month to $22 million from $13 million in December with the release of its latest model, Command-R.?
Cohere, which raised $220 million in investment and was valued at $2.2 billion in June, is wooing investors with its corporate AI solutions and has teamed up with Oracle to increase the accessibility of its platform.
Open Source?
The competitive environment of LLM development is significantly impacted by the strategic decisions that companies make. Some choose to go the proprietary way, keeping their information and procedures private, while others adopt open-source approaches, providing unfettered access to their data and techniques. These decisions shape the future of AI and engage the audience in the ongoing competition.?
The CEO of LoanSnap, Karl Jacob, emphasized the benefits of using open-source methods.?
Facebook’s open-source philosophy, which has succeeded in other domains, makes it intriguing. He told PYMNTS that Google is fascinating because of its vast training data collection and years of AI development experience. “Lastly, the fact that Anthropic is a team that prioritizes training speed intrigues them.”
Data scientist Dmytro Shevchenko of the corporate software company Aimprosoft also emphasized the significance of open-source projects like Llama 2, Falcon, and Vicuna.?
In an interview with PYMNTS, he said that “most of the time, these projects present LLMs of various models that are ideal for both small tasks and large cases. “Even though they claim not to use your data, they also address the issue of data privacy that commercial models fail to address.”
However, the enormous expense of creating and instructing core LLMs is still a significant obstacle. Smaller businesses may concentrate on specific solutions due to this entrance hurdle.?
Luria states, “Many software companies are building custom LLMs to work within a specific context for more specific applications.” With less data and processing power, these focused models open new possibilities for creativity.?
Businesses may find that smaller AI models are a more competitive alternative. The latest version of Inflection’s Pi chatbot serves as an example of the trend toward developing more affordable models that make AI more accessible to businesses.?
War between Google Bard vs. ChatGPT vs. Microsoft Copilot vs. Grok vs. Erine
Google has joined the AI chatbot competition, escalating rivalry with other big players like Microsoft, Snap, Meta, and xAI. Even though ChatGPT is used all over the world, Google Bard has lately undergone major improvements that enable it to compete successfully in the AI chatbot market.?
According to HT Tech, Google unveiled Gemini AI, a new model that, in its most potent iteration, can produce outputs in several media, such as photos, video, and audio. These days, Google Bard is powered by this sophisticated model. It must be examined to see how well it performs in comparison to other chatbots, such as ChatGPT, BingAI, Grok, and others.?
Google Bard is now powered by the Gemini Pro AI model, which the firm claims is a significant and improved update that is especially well-known for its prowess in mathematics and physics. Google claims that in 30 out of 32 benchmark tests, their AI model surpassed OpenAI’s LLM, compared to GPT-4. These benchmarks cover various topics, such as arithmetic, reading comprehension, reasoning, and writing Python code.?
According to reports, Google intends to release “Bard Advanced” next year. This device is said to have multimodal capabilities that allow outputs to be generated in picture, video, and audio forms. Furthermore, this improved version is smoothly integrated with other Google products, such as Drive, Location, and YouTube, allowing it to respond to inquiries about these platforms partially. Thanks to Gemini AI, Google Bard maintains and enhances all of its prior features. The release of 'Bard Advanced' is expected to further intensify the competition in the AI chatbot market, as it offers a range of new features and capabilities.?
ChatGPT
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As one of the most well-known choices worldwide, ChatGPT has established itself as a household brand in AI chatbots. It is a conversational chatbot regarded as a pioneer using the GPT (Generative Pre-trained Transformer) architecture. Large amounts of text data are used to train this generative AI model, which makes it easier to understand the complex nuances of human language.
While the subscription-based ChatGPT Plus chatbot runs on the more sophisticated GPT-4 architecture and offers improved features, including quicker reaction times and compatibility with internet plugins, the free ChatGPT version uses the GPT-3.5 architecture. Regardless of the version, ChatGPT is excellent at answering various queries and customizing its responses to fit each one's details. Its GPT-based training allows it to understand questions’ nuances even when expressed in plain English. Furthermore, ChatGPT remembers prior reminders throughout prolonged sessions and adjusts to the user’s behavior.?
Microsoft Copilot?
Copilot, formerly known as Bing AI, is a significant language model chatbot developed by Microsoft. It may now be found on the Bing search engine and Bing app, and it can answer various user questions, create text, write emails, and more. Beyond standard answers, Copilot demonstrates adaptability by producing artistic text formats, including screenplays, songs, letters, and poetry, as well as specialized jobs like appointment scheduling, trip planning, and online shopping facilitation.?
Grok
Elon Musk’s xAI created the AI chatbot Grok, which stands out for answering audacious and outlandish queries that other AI systems may generally ignore. Elon Musk draws attention to the fact that Grok adds wit and comedy to its answers. Grok is notable for enabling branching discussions, which allow users to switch between several subjects. Moreover, users process the exceptional power to alter any portion of Grok’s output as if it were the initial answer. In contrast to other AI chatbots that use OpenAI’s GPT, Grok is built on xAI’s own LLM, called Grok-1. The business claims that Grok-1 performs better than GPT-3.5 and similar AI models while having a lighter side.?
Ernie
Enhanced Representation via Knowledge Integration, or Ernie, is a conversational AI chatbot developed by Baidu, a Chinese company. It is comparable to OpenAI’s chatGPT in China. It is based on the pre-trained Dialogue Generation Model (PLATO) and Baidu’s in-house Large Model (LLM), Ernie 3.0-Totan. Thanks to Ernie’s multimodal features, customers can interact with the AI service by sending text or photos for suggestions and replies.?
The Development of Consulting Businesses
In the early phases of the generative AI fight, management consulting firms have emerged as the main winners, while tech businesses and startups struggle to monetize generative AI. In this regard, Accenture, in particular, has made notable advancements.
Accenture said in its most recent earnings report that it has achieved two significant generative AI milestones:
LLM Supremacy's Future
Experts forecast a division between a limited number of general foundational models and a profusion of context-specific models as the generative AI field develops. There may only be two or three main basic models in the future, but as technology becomes faster and more sophisticated, we can expect to see many LLMs from several firms on each of our devices. ?
According to several analyses, Google is a strong competitor for OpenAI because of its extensive expertise with transformers and unmatched access to data. Other strong competitors who are prepared to consistently undermine OpenAI’s stance include Meta and Anthropic.?
The Global Patent Race for Generative AI
According to a recent United Nations assessment, China is leading the world in the competition for generative AI patents, well ahead of the United States and other countries. Since 2014, China has submitted more than 38,000 patent applications for innovations in generative AI, demonstrating its dedication to gaining a competitive advantage in the market.?
Experts warn that China isn't winning the fight on artificial intelligence (AI) despite its dominance in patent applications. These patents' real-world effect largely depends on their quality and usefulness.
Conclusion
There is no unmistakable victor in the 2024 struggle of generative AI; it is a complicated and varied conflict. Even though startups, IT giants, and consulting companies are all fighting for supremacy, many people still need to commercialize generative AI.
Given Accenture's remarkable success in generative AI, consulting companies would be well-positioned to profit from the rising demand for services related to AI integration. Long-term winners will likely be those who can effectively negotiate the legal and ethical terrain while producing sound, approachable AI solutions.
Businesses must remain flexible, creative, and customer-focused as the race to develop generative AI intensifies. Though the route to success is still uncertain, generative AI has a promising future. Who will win this fierce competition for AI dominance is a question only time can answer.