![]() Indeed, researchers are already exploring ways to combine the outputs from multiple AI systems to create a sort of composite super-AI. The good news is that it is actually quite “easy” for anyone with a little coding knowledge to connect GPT and WolframAlpha and start experimenting. It could potentially result in an extremely powerful tool capable of understanding and answering a wide range of questions posed in natural language, as well as accurately tackling mathematical problems for which LLMs are unsuited, but at which WolframAlpha (and other answer engines) excel at. ![]() How ChatGPT and WolframAlpha work are quite different but very complimentary. With that in mind, what would happen if you took the world’s best Large Language Model, ChatGPT, which is based on the GPT-3.5 AI model from OpenAI, and mashed it up with WolframAlpha, a highly specialised answer engine designed to solve mathematical and other computed problems? The main issue with machine learning today is that it can be time-consuming and resource hungry in terms of the number of CPUs/GPUs required to train the model, not to mention the cost to power and cool them all (LLM training hardware runs extremely hot). The brain’s ability to adapt and change is known as neuroplasticity, while in AI, this ability is referred to as machine learning. In fact, the analogy between the brain and AI systems can be taken even further, as both have the ability to learn and adapt over time. … the much-touted AGI (Artificial General Intelligence) of the future, is, in my mind, likely to emerge from a mashup of many AI systems and tools orchestrated by an executive AI function, whatever that turns out to be (GPT-15 perhaps? ). Indeed, the much-touted AGI (Artificial General Intelligence) of the future, is, in my mind, likely to emerge from a mashup of many AI systems and tools orchestrated by an executive AI function, whatever that turns out to be (GPT-15 perhaps? ). Similarly, in an AI “system” or “network”, the future of AI may consist of multiple specialised AIs that work together in symbiosis to perform different functions, such as language processing, mathematical calculations, and in the case of AI-enabled robots, spatial awareness. The frontal lobe of the brain, for example, can be thought of as the “executive function”, coordinating and controlling the activity of other regions. … LLMs are never going to be good at math, so they are going to need to outsource that function to some other tool to figure out the answer.īy analogy, if we look at the human brain, different regions are responsible for different functions. What I’m saying, in effect, is that LLMs are never going to be good at math, so they are going to need to outsource that function to some other tool to figure out the answer. Ultimately all LLMs come up against a brick wall called computational irreducibility, which refers to the idea that some systems or processes cannot be predicted or simplified further through computation, regardless of the amount of computational power available. As an LLM, it’s a specialised unit designed to process language, not do math, and the fact is, you can’t just keep training LLMs on more and more data in an attempt to make them good at everything, LLMs are just not designed to work like that. Right from vacation suggestions to booking tickets, the plugin aims to help users address any travel booking needs.ChatGPT sometimes makes mistakes, but at least it admits them :)Īlthough it’s a laughable response, personally, I think it’s also an unfair criticism of ChatGPT. The chatbot customises and suggests options based on user criteria such as age, children, additional facilities, and more. Through the Expedia plugin, users can interact with the chatbot to plan any travel itinerary. ![]() Headquartered in Seattle, the company made a revenue of $8.6B in 2022. ExpediaĮxpedia is one of the world’s leading travel companies that helps travellers plan and book hotels, flights, rental cars, activities and other travel services. ChatGPT Plus plugins are currently available as a “limited alpha release” for developers and insiders. ![]() The functions of the plugins range from retrieving information that is real-time, knowledge-based to also perform actions on behalf of the users, such as booking tickets, ordering food, and more. Following an initial waitlist, 11 plugins were officially launched last week by OpenAI. ![]() The new plugins connect ChatGPT Plus to third-party applications which enables the platform to interact with APIs defined by developers. However, with the launch of ChatGPT Plugins, OpenAI has addressed this bottleneck as well. When ChatGPT was soaring high with its complex query resolution and now multimodality with GPT-4, the only string that was pulling it back from taking on the biggest search engine was the absence of real-time data. ![]()
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