Lets talk about AIGC and GPT-4
AIGC is a new production method that uses artificial intelligence technology to automatically generate content following Professionally Generated Content (PGC) and User Generated Content (UGC).
AIGC can be divided into text, video, image, audio and cross-modal generation according to its content modality.
Text aspects, such as text creation, code generation, question-and-answer dialogue, etc.; video aspects, such as video quality enhancement, video content creation, video style migration, etc.;
Image aspects, such as image editing, image generation, 3D image generation, etc.;
Audio aspects, such as text-to-speech, voice cloning, music generation, etc.;
In terms of cross-modality, such as text to generate pictures, text to synthesize video, image description, etc., and the technical application scenarios of different content modes also have their own subdivision categories.
ChatGPT is the first milestone in the development of AIGC. ChatGPT is a conversational large language model released by the artificial intelligence research company OpenAI in November 2022. It is a natural language processing tool and application driven by artificial intelligence technology.
The full name of ChatGPT is Chat Generative Pre-trained Transformer. As the name suggests, it is a large dialogue-oriented language model built with Transformer as the basic structure and pre-trained and generated . It is a typical representative of AIGC in terms of text.
The main purpose of ChatGPT is to generate dialogues. It can conduct dialogues interact naturally and smoothly according to the context of the chat, and complete tasks such as email writing, copywriting, text translation, and code generation.
ChatGPT provides an unprecedented efficient and natural human-computer interaction experience and highly creative content generation capabilities, becoming the first "killer" application in the AI era. The generative AI tools represented by ChatGPT will enable machines to participate in knowledge and creative work on a large scale, greatly improving productivity, involving billions of people in all aspects of work, and may generate trillions of dollars in economic value.
ChatGPT covers all fields of NLP, and the large-scale pre-trained language model (LLM) or basic model it represents has become the most concerned research hotspot in the industry and academia, and leads the recent field of natural language processing (NLP) and even artificial intelligence. The transformation of the research paradigm of AI may have a significant impact on the technological development of artificial intelligence.
Only 4 months after the release of ChatGPT, OpenAI officially released the multi-modal pre-training large model GPT-4 in March 2023.
GPT-4 supports picture and text input and generates text output. The input limit of GPT-4 has been increased to 25,000 words, and the processing capacity is eight times that of ChatGPT. It can be used in application scenarios such as long-form content creation, extended dialogue, and document search and analysis, and can write code in all popular programming languages.
The accuracy of GPT-4's answer has been greatly improved, and its performance is better than the existing large-scale language model and the current state-of-the-art (SOTA, State Of The Arts) model. Human-level performance on academic benchmarks.
But GPT-4 still has limitations similar to earlier GPT models, such as: common sense mistakes, lack of understanding of new world knowledge, social bias, hallucinations, reasoning errors, etc.
