ChatGPT is everywhere Here’s where it came from
It’s important to understand that for all this discussion of tokens, ChatGPT is generating text of what words, sentences, and even paragraphs or stanzas could follow. It’s not the predictive text on your phone bluntly guessing the next word; it’s attempting to create fully coherent responses to any prompt. OpenAI hasn’t said how many parameters GPT-4 has, but it’s a safe guess that it’s more than 175 billion and less than the once-rumored 100 trillion parameters. Regardless of the exact number, more parameters doesn’t automatically mean better. Some of GPT-4’s increased power probably comes from having more parameters than GPT-3, but a lot is probably down to improvements in how it was trained.
So, instead of releasing an open-source model, OpenAI provided public access to GPT-3 through an API. This allowed third parties to use the underlying technology, while OpenAI retains some control over the access. OpenAI initially refrained from releasing the complete model due to concerns about misuse.
Is ChatGPT Using GPT-4?
How text is understood by AI models is also important, so let’s look a little deeper at tokens. GPT-3 was trained on roughly 500 billion tokens, which allows its language models to more easily assign meaning and predict plausible follow-on text by mapping them in vector-space. Many words map to single tokens, though longer or more complex words often break down into multiple tokens. OpenAI has stayed quiet about the inner workings of GPT-4, but we can safely assume it was trained on much the same dataset since it’s even more powerful. Chat GPT-4 represents a significant leap forward in language model development. With improved capabilities, multilingual proficiency, expanded context length, and the ability to process images, Chat GPT-4 opens up exciting possibilities in various domains.
There can be various new AI applications due to long-term memory support and GPT-5 can make that possible. Microsoft’s Bing search is built on top of GPT-3.5, while ChatGPT uses GPT-3 and GPT-3.5, along with proprietary tech called Prometheus, to churn out answers quickly. One of the most significant distinctions between GPT 4 vs GPT 3 lies in their capabilities. Chat GPT-4 is touted as more reliable, creative, collaborative, and capable of handling nuanced instructions with greater precision than Chat GPT-3.5.
OpenAI says new model GPT-4 is more creative and less likely to invent facts
A recent report by CNBC confirmed that PaLM 2 is trained on 340 billion parameters, which is far less than GPT-4’s large parameter size. Google even went on to say that bigger is not always better and research creativity is the key to making great models. So if OpenAI wants to make its upcoming models compute-optimal, it must find new creative ways to reduce the size of the model while maintaining the output quality. The hot talk in the industry is that GPT-5 will achieve AGI (Artificial General Intelligence), but we will come to that later on in detail. Besides that, GPT-5 is supposed to reduce the inference time, enhance efficiency, bring down further hallucinations, and a lot more.
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It’s known for making mistakes or “hallucinations,” where it makes up an answer to something it doesn’t know. A simple example of how unreliable it can sometimes be involved misidentifying the prime minister of Japan. Many people attempting to use ChatGPT have been getting an “at capacity” notice when trying to access the site. It’s likely behind the move to try and use unofficial paid apps, which have already flooded app stores and scammed thousands into paying for a free service. ChatGPT was created by an organization called OpenAI, a San Francisco-based AI research lab.
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