Limited domain knowledge: ChatGPT’s output is limited by the data it has been trained on, which can make it less useful for generating content on niche or specialized topics as compared to other content generators that are specifically designed for those domains.Limited image or video generation: ChatGPT’s primary output is text-based, which means that it may not be as useful for generating visual content such as images or videos as compared to other content generators.Lower customization options: Compared to some other content generators, ChatGPT offers fewer options for customization, such as formatting or styling.Higher resource usage: ChatGPT requires a lot of computational resources to generate content, which can make it more expensive and time-consuming to use as compared to some other content generators.Less control over output: ChatGPT’s output is generated autonomously, which means that users have less control over the specific content that it generates as compared to other content generators that allow for more user input. Limited output length: Compared to some other content generators, ChatGPT has a relatively short maximum output length, which can limit its usefulness for certain applications.Here we are sharing some limitations of ChatGPT: There is no way to say that ChatGPT is not a better Ai Chatbot, but still, there are some points that we want to consider ChatGPT needs to Improve. Such improvements are reflected through a new human evaluation AI assistant – Google Meena.Why People Searching for Other Options- What Things Are Missing From ChatGPT? They show that Meena can conduct conversations that are more sensible, reliable and specific than existing voice assistants chatbots. The blog by Google states, “Towards a Human-like Open-Domain Chatbot”, they will present Meena, a trained neural conversational model better than any voice assistants right now. Google acknowledged in its blog that open-domain chatbotsthat are already in the market have some critical flaws and they do not have common sense and basic knowledge about the world. The 2.6 Billion parameter neural network is all about minimizing perplexity, and an automatic metric would be compared against the human judgment of multi-turn conversation quality, a blog by google states. It is trained as end-to-end on data mined and filtered from the public domain to social media conversations. Google presents Meena, a multi-turn AI system that open-domain chatbot. On the other hand, Google Meenais a neutral network that has about 2.6 billion parameters. Although they can answer general questions but you never feel really conversational. Additionally, they will tell you about the weather, answer your questions about the news and web, play songs for you but it’s not conversational. However, all these smart AI agents aren’t really conversational. After that, Amazon’s Alexa came into the picture, a virtual assistant AI that was firstly available in the Amazon Dot and Amazon Echo Dot speakers. The era of human and machine structure first time started with Apple’s Siri and went absolutely good over the human-like qualities for the application. Voice-based AI assistants like Amazon’s Alexa, Google’s Assistant, Microsoft’s Cortana, and Apple’s Siri have become quite popular lately. Meet Google Meena: the latest conversational chatbot technology by Google AIįor chatbots and Conversational AI agents to perform best, they need well-defined goals of conversation.Google has created Meena, as a chatbot which will be better than any other bots created.Google has released Meena, which claims to be the best chatty of all existing state-of-the-art conversational AI agents.Meet Meena, Google‘s chatbot that interacts Like Human Conversations HIGHLIGHTS
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