What is chatgpt?
ChatGPT, the popular conversational AI model capable of mimicking humans response, has been updated with improved accuracy.
Upon opening the interface the ChatGPT interface, users will be greeted with a new pop-up message that lists the changes in what OpenAI calls the “Jan 9 version” update. The pop-up reads.
OpenAI recently released their latest AI language model, GPT-4. Considering the stir GPT-3 caused, many people are curious about how powerful this new model is compared to its predecessor.
A quick primer: The difference between GPT models and implementations
To start, let’s clear up something a lot of tech bloggers are not clarifying: there’s a difference between GPT models and implementations. It’s important not to conflate the two.
GPT-4 stands for Generative Pre-trained Transformer 4. It is a model, specifically an advanced version of OpenAI’s state-of-the-art large language model (LLM). A large language model is an AI model trained on massive amounts of text data to act and sound like a human.
This is different from ChatGPT, which is an application of the GPT model explicitly designed for conversational language. It has been trained on a large data set of conversational data to give human-like responses. You can use these for text generation, code generation, language translation, summarizing, and answering questions.
GPT-4 vs GPT-3: What’s changed
GPT is now Multimodal
GPT-4 is now “Multimodal”, meaning you can input images as well as text. It still doesn’t output images (Like Midjourney or DALL-E), but it can interpret the images it is provided. For example, this extends to being able to check out a meme and tell you why it’s funny.
It’s worth noting that ChatGPT has not implemented this feature yet, even when you use the paid version (ChatGPT Plus) which uses GPT-4 — another good reason to highlight the difference between the model and the implementation.
Increased Parameters
A GPT model’s parameters define its ability to learn and predict. Your answer depends on the weight or bias of each parameter. Its accuracy depends on how many parameters it uses.
GPT-3 uses 175 billion parameters in its training, while GPT-4 uses trillions! It’s nearly impossible to wrap your head around. The new design also brings better performance, scalability, and efficiency.
Previously, ChatGPT was limited to the information that had been fed into its database. With this update, the chatbot can now access a wealth of information from the web, making it even more powerful and useful as a personal assistant.
This means that ChatGPT can now provide users with up-to-date information on virtually any topic, from the latest news to the newest recipes. To get information, the web browser plugin will make use of the Bing Search API. Additionally, it will provide link ..
Previously, ChatGPT was limited to the information that had been fed into its database. With this update, the chatbot can now access a wealth of information from the web, making it even more powerful and useful as a personal assistant.
ChatGPT, OpenAI’s chatbot:-
Previously , ChatGPT was limited to the information that had been fed into its database. With this update , the chatbot can now access a wealth of information from the web, making it even more powerful and useful as a personal assistant.
This means that ChatGPT can now provide users with up to date information on virtual any topics, from the latest news to the newest recipes. To get information, the web browser plugin will make use of the bing search API.
Additionally , it will provide link to websites that ChatGPT visited when gathering its sources for its replies.