Openai ChatGPT
ChatGPT is a conversational AI developed by OpenAI. It's part of the GPT (Generative Pre-trained Transformer) series of models, designed to understand and generate human-like text based on the input it receives. Essentially, it's a large neural network trained on vast amounts of text data, enabling it to engage in conversations, answer questions, provide information, and even generate creative content like stories or poems.
Version of ChatGPT
GPT-1: The initial version released by OpenAI, capable of generating human-like text based on the input it receives.
GPT-2: A larger and more powerful version than GPT-1, notable for its impressive text generation abilities. It sparked significant discussion around the ethical implications of AI-generated content and was initially released in several stages due to concerns about potential misuse.
GPT-3: The third iteration, which represents a significant advancement over GPT-2 in terms of size and performance. GPT-3 is much larger and more capable, with 175 billion parameters compared to GPT-2's 1.5 billion parameters. It can generate even more coherent and contextually relevant responses, leading to more natural conversations and improved performance across various language tasks.
OpenAI launches new AI model GPT-4o and desktop
version of ChatGPT
OpenAI on Monday launched a new AI model and desktop version of ChatGPT, along with an updated user interface, the company’s latest effort to expand use of its popular chatbot.
The update brings GPT-4 to everyone, including OpenAI’s free users, technology chief Mira Murati said in a livestreamed event. She added that the new model, GPT-4o, is “much faster,” with improved capabilities in text, video and audio. OpenAI said it eventually plans to allow users to video chat with ChatGPT.
“This is the first time that we are really making a huge step forward when it comes to the ease of use,” Murati said.
OpenAI, backed by Microsoft, has been valued by more than $80 billion by investors. The company, founded in 2015, is under pressure to stay on top of the generative AI market while finding ways to make money as it spends massive sums on processors and infrastructure to build and train its models.
