Next-generation Artificial Intelligence Chatbots

Know how "Next-generation Artificial Intelligence Chatbots" are transforming customer service, streamlining operations, and revolutionizing business interactions. Get inside which companies are in this AI war and what rules the government is going to make to regulate this AI tsunami.

The explosion of next-generation AI chatbots threatens to change all aspects of our lives with the technology's getting more and more advanced. The updated GPT-4 model was released as soon as the OpenAI ChatGPT became part of the lexicon. Now its GPT4-0.

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As quickly as experts in fields like education began to understand the capabilities and limitations of large language models on the market, the latest iteration prompted a new round of questions without clear answers. Chatbots are here to stay. Microsoft founder Bill Gates said improvements in artificial intelligence will “change our world”. Microsoft has invested USD$10 billion in OpenAI, because of that a record 100 million monthly users in January 2023. But in a crowded artificial intelligence gold rush, it's nowhere near the only game in town, where megalithic corporations and plucky startups compete for resources and talent. IMF Chief warns that AI TSunami is about to hit job market.

Suggested Read: What is an AI Chatbot and how does it work

Who’s making the next generation of chatbots?

It seems like pretty much everybody. OpenAI seems to be the name that everyone is talking about, with its ChatGPT model dwarfing their competitors in terms of popularity. It might be trying to distance itself from its competitors with an ambitious new GPT-4 series model just hitting the market.

To keep the lead, however, it will have to stay on top of its game. Google releasing the Bard, Gemini. SORA keeps google in the game. The tech giant, worried about the accuracy of its AI chatbots, hid them from the public, but as competitors began to beat them to the market, they changed their tune. Tech startup Claude was launched in mid-March by Antropic, a company founded by former OpenAI employees. Amazon has been planning on entering the fray since February 2023, when it announced a partnership with Hugging Face to create another generation of Bloom language models for artificial intelligence startups. Two weeks later, Facebook's parent company Meta published a model of LlaMA that was leaked on the internet. In March, Chinese giant Baidu introduced a chatbot named Ernie to mixed reviews. After praising the scary good ChatGPT, the CEO of Twitter and Tesla is said to be interested in competing against OpenAI. After receiving a valuation of $1 billion from the influential venture capital firm Andreessen Horowitz, Character.AI, a startup with no revenues, raised $150 million. A name to watch as the space grows is Apple, is perfectly resourced to make a splash in the generative AI market.

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Can we trust chatbots to be accurate?

The short answer is no. Developers do not shy away from this, with OpenAI warning users of GPT 4 that the product has several known limitations including social biases, hallucinations, and adversarial behavior. The technology is pushing boundaries but it has not yet arrived. Everyday chatbots new features amazes all of us. The concern that the widespread adoption of next-generation chatbots could contribute to spreading misinformation has not been alleviated by transparency from developers. While some experts are concerned about the consequences of trusting in imperfect language models, others believe that convincing people to trust artificial intelligence is going to be a challenge. Boston University behavioral psychologist Chiara Longoni believes that, if we can build sufficient trust in AI's restricted use, it could be very useful. “When a reporter makes an error, a reader isn’t likely to think all reporters are unreliable. After all, everyone makes mistakes,” she said. “But when AI makes a mistake, we are more likely to mistrust the entire concept. Humans can be gullible and forgiven for being so. Not so machines.”

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The biggest challenge of these AI bots still are like they communicated more like machine.

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By prioritizing these five recommendations, AI can emulate human behavior more effectively: 1. Tailored Communication: In a business-to-business scenario, the AI system should recognize the context and offer detailed information like complete terms and conditions. For a business-to-consumer interaction, the AI should provide a concise summary of terms and conditions along with a reference to the full document.

2. Emotion and Tone Recognition: Common chatbot responses tend to be impersonal due to the lack of emotional comprehension. Machine learning algorithms can be utilized to train bots to identify both positive and negative emotions such as frustration, anger, or sadness, discernible through written messages and vocal tones.

3. Understanding and Providing Assistance: A significant disparity between human employees and bots lies in the ability to comprehend underlying issues and furnish solutions rather than merely passing information. When combined with personalized communication and emotional responsiveness, this capability becomes exceptionally valuable.

4. Omnichannel Integration: Many businesses are transitioning towards a seamless omnichannel approach to interaction, where the customer's engagement with the AI system remains consistent across various platforms.

5. Omnitopic Capabilities: Unlike most bots, such as Siri or Alexa, which can access external sources for responses, many bots lack the ability to switch topics smoothly within a conversation. Because bots are primarily structured to follow predefined pathways, they face limitations when addressing inquiries that deviate from the current discussion topic.

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What are governments doing to regulate chatbots?

Not a lot, yet. Innovation has far outpaced any government's ability to legislate and this is not a fault of the administration. It is a difficult task to write laws, requiring scrutiny and a strong set of checks and balances.

But, as UNSW.AI Chief Scientist Toby Walsh points out, there are models regulators can look at. There are government bodies with significant powers to monitor new technologies in highly vulnerable areas such as aviation or pharmacology," he stated. “We can also look to Europe whose forthcoming AI Act has a significant risk-based focus. We must ensure that the benefits of AI are preserved while avoiding risks, no matter what shape this regulation takes.' A trend of lower openness from large players was suggested by those advocating more agile regulation. Walsh said that the most recent OpenAI technical report on GPT4 was a more white paper and contained no information about the latest chatbot.

The reliance on goodwill and a spirit of cooperation to fuel the flow of information and data from companies that develop and release technology is becoming more difficult, as businesses are under increasing pressure to retain their edge in an increasingly competitive marketplace for chatbots.


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Anupma Singh

Anupma Singh

Anupma Singh, an IITian turned serial entrepreneur, has developed a deep passion for SEO. Her writing expertise spans various topics, businesses that drive positive societal change, and the ever-evolving landscape of artificial intelligence (AI). She has specialized in driving massive organic growth for websites through engaging and informative content.