At the end of the article, 18 books are donated in one breath,
This time I will let you high enough.
The development of artificial intelligence technology has gradually changed the way we live and work. Among them, language model technology is an area that has attracted a lot of attention in recent years. In this field, ChatGPT is a high-profile product. It is not only a chat program, but also a neural network model capable of producing coherent and logical text.
ChatGPT latest news (Hello, ChatGPT)
June 2018: OpenAI released the GPT-1 model with 110 million parameters
November 2018: OpenAI released the GPT-2 model with 1.5 billion parameters, but due to concerns about abuse, it does not open all the code and data of the model to the public
February 2019: OpenAI released some code and data of the GPT-2 model, but still restricted access
June 2019: OpenAI released the GPT-3 model, with 175 billion parameters, and provided access to some partners
September 2019: OpenAI released all the code and data of GPT-2 and released a larger version
May 2020: OpenAI announces the beta release of the GPT-3 model, which at 175 billion parameters is the largest natural language processing model to date
March 2022: OpenAI released InstructGPT, using Instruction Tuning
November 2022: OpenAI is fine-tuned through the GPT-3.5 series of large-scale speech models, and the new conversational AI model ChatGPT is officially released
December 2022: ChatGPT's first update, improving overall performance and adding new features to save and view historical conversation records
January 2023: The second update of ChatGPT improves the authenticity of answers and adds a new function of "stop generation"
OpenAI released a paid version of ChatGPT Professional limited to some users
The third update of ChatGPT not only improves the authenticity of the answers, but also improves the mathematical ability
February 2023 : OpenAI officially launched the subscription service of the paid version of ChatGPT. Compared with the free version, the new version responds faster and runs more stably
March 2023: OpenAI launched a large-scale multi-modal model GPT-4, which can not only read text, but also recognize images and generate text results. It is now connected to ChatGPT and is open to Plus users
Since its release, ChatGPT has been advancing all the way until it hit the iron plate.
Recently, the frenzy of blocking ChatGPT has swept the world. From the global explosion to being "sieged" by many countries, ChatGPT is attracting more regulatory attention.
Italy has banned the use of GPT-4 nationwide, giving the OpenAI platform a 20-day adaptation period, otherwise it will face a fine of 20 million euros. Canada, France, Ireland and Germany are also preparing to act. Tens of thousands of people have signed an open letter calling for a moratorium on advanced AI development, initiated by Musk and Turing Award winners, among others.
In my country, regulations for generative artificial intelligence have been put on the agenda. On April 11, the State Internet Information Office publicly solicited opinions on the "Management Measures for Generative Artificial Intelligence Services (Draft for Comment)" ("Draft for Comment") , The "Draft for Comment" has a total of 21 articles, from the access of generative artificial intelligence service providers, to algorithm design, training data selection, model to content, as well as user real names and personal privacy, business secrets and other aspects put forward relevant requirements. This means that the current booming generative AI industry will usher in its first regulatory document.
What will the future of ChatGPT encounter "containment" look like? Everything is unknown, today we only look forward to it from the technical level.
Redefine ChatGPT (Hello, ChatGPT)
Before the advent of ChatGPT, people's perception of chat programs often stayed on simple rule-based question-and-answer robots. However, the emergence of ChatGPT has completely subverted this perception.
The emergence of ChatGPT marks a major breakthrough in language model technology. Compared with traditional chat programs, ChatGPT can better simulate human language behavior and realize real "smart" chat.
ChatGPT is not just a chat program
ChatGPT will be released on November 30, 2022. From the appearance, it is just a simple web page dialog box, as shown in the figure below.
ChatGPT interface
Although ChatGPT is known as a chat program, its scope of application is much more than that. ChatGPT can be used not only for chat robots, but also for natural language processing, machine translation, summary generation, dialogue generation and many other fields.
First of all, in the field of natural language processing, ChatGPT can be applied to tasks such as text classification, sentiment analysis, named entity recognition, as well as applications such as text generation and summary generation. For example, in terms of text summary generation, ChatGPT can generate concise text summaries by analyzing key information and themes in the text to provide users with a better reading experience.
Secondly, in the field of machine translation, ChatGPT can realize translation between different languages through natural language processing technology, such as translating Chinese into English, Japanese into German, etc. ChatGPT can better realize natural translation by simulating the human language generation process, and can automatically learn and adapt to the differences and laws between different languages.
Finally, in terms of dialogue generation, ChatGPT can help users quickly generate contextual and logical dialogues through natural language generation technology. For example, in a customer service conversation, ChatGPT can analyze the questions entered by the user and generate answers that meet the user's needs and context, improving the efficiency and quality of customer service.
In addition, ChatGPT also has broad application prospects in the fields of virtual character dialogue and scenario simulation.
To sum up, ChatGPT has a wide range of applications, not limited to chat programs. The advantage of ChatGPT is that it can simulate the human language generation process, and through large-scale pre-training and optimization of the model structure, it can achieve more accurate and natural text generation.
How ChatGPT dominates
The reason why ChatGPT can become the hottest product in the field of natural language processing is as follows:
1. Transformer structure
ChatGPT adopts the Transformer structure, which is currently one of the best neural network structures in the field of natural language processing. The traditional recurrent neural network model has the problem of gradient disappearance and gradient explosion when processing long texts, and the Transformer structure can effectively capture the long-distance dependencies in sentences, thereby achieving more accurate and natural text generation.
2. Large-scale pre-training
ChatGPT used massive text data for model training before its launch, thus increasing the scope of application. The pre-trained model can be fine-tuned in different tasks to further improve the accuracy and adaptability of the model.
3. Self-learning
Another unique feature of ChatGPT is self-learning. Through continuous self-learning, it can continuously improve the accuracy and naturalness of its language model. When a user has a conversation with ChatGPT, ChatGPT will continuously learn and remember the user's language behavior and preferences, so as to better adapt to the user's needs.
The reason why ChatGPT is so popular is mainly because of its outstanding performance in the field of natural language processing and its wide application in various fields. Because ChatGPT can generate coherent and logical text, it is widely used in chatbots, natural language processing, machine translation, summary generation, dialogue generation and other fields, helping enterprises improve efficiency, reduce costs, and improve service quality.
Smarter, more useful, safer ChatGPT (Hello, ChatGPT)
From amazing to even more amazing: the scale upgrade of ChatGPT
Upgrades in the field of Natural Language Processing (NLP):
Upgrades in the field of natural language processing (NLP): With the improvement of hardware equipment and algorithms, the scale of the ChatGPT model will continue to increase, thereby achieving a higher level of language processing and understanding capabilities. In the future, the ChatGPT model may achieve even more amazing language processing and creative capabilities.
In the field of natural language processing (NLP), language model is one of the most basic and critical technologies. The core task of the language model is to predict the probability of the next word or character, so as to generate natural language text with language continuity and logic.
First of all, ChatGPT will design more model levels and model structures to further improve the scale and expressiveness of the model.
Secondly, ChatGPT can use more efficient training strategies, such as distributed training and incremental learning in deep learning, to reduce the training and running costs of the model.
In addition, ChatGPT can also carry out more exploration and innovation in the management and optimization of model parameters.
In short, with the continuous development of natural language processing technology, the scale and performance of ChatGPT will continue to improve. In the future, ChatGPT is expected to become an important cornerstone in the field of natural language processing, providing efficient and accurate solutions for various language tasks. At the same time, the development of ChatGPT will also bring new impetus and direction to the development of the AI field, and promote the further development and application of AI technology.
Upgrades in the field of hardware equipment:
ChatGPT needs to rely on powerful hardware devices to achieve its high-level language processing capabilities. In the future, with the continuous improvement of computer performance, ChatGPT will continue to use hardware blessings to improve its scale and capabilities. For example, using hardware devices such as GPU and TPU can make the training speed and effect of the ChatGPT model more excellent, and achieve a higher level of language processing and understanding capabilities.
Hardware equipment is an important basis for supporting ChatGPT to achieve high-level language processing capabilities. Especially with the continuous development of computer hardware technology, ChatGPT can further improve the scale and capabilities of the model through hardware blessing.
GPU and TPU are currently the most popular hardware devices for accelerating deep learning model training and inference. Compared with traditional CPUs, GPUs and TPUs have more computing cores and memory bandwidth, which can greatly accelerate the calculation speed of models. For example, taking GPT-3 as an example, if it is run with an ordinary CPU, it can only process dozens of words per second, but using a GPU or TPU can increase the processing speed to hundreds of words per second or characters.
In addition to GPU and TPU, ChatGPT can also use more advanced hardware devices to further improve the capabilities of the model. For example, FPGA-based neural network accelerators can provide higher computational density and energy efficiency, while also being optimized for specific tasks. These hardware devices allow the ChatGPT model to complete more complex computing tasks in a shorter period of time, and also allow the model to achieve higher performance with low power consumption and low latency.
In addition, ChatGPT can further improve the scale and capacity of the model through distributed computing. Distributed computing assigns model training tasks to multiple computing nodes to complete, which can make full use of the computing resources of multiple computers and speed up model training. At the same time, distributed computing can also minimize the storage and transmission costs of the model, making the deployment of the model more efficient.
In general, hardware support is one of the key factors for ChatGPT to achieve a higher level of language processing capabilities. In the future, with the continuous improvement of computer hardware technology, ChatGPT can use more advanced hardware equipment to further enhance the scale and capabilities of the model, bringing more possibilities for the development of the field of natural language processing.
recommended reading
"Hello, ChatGPT"
▊《Hello, ChatGPT 》
By Brother Token
The era of artificial intelligence (AI) has arrived, and AIGC (Artificial Intelligence Generated Content) is further activating human creativity. As a landmark product in the AIGC field, ChatGPT has become the focus of attention since its launch, and has received widespread attention and praise from the market. Learn about AI, AIGC, let's start with ChatGPT!
This book expounds in depth the questions of ChatGPT "Where did it come from?" "How does it work?" "What can it do?" and "How to develop?" The development of AI and AIGC, describes the birth process of ChatGPT, analyzes the technical realization principle of ChatGPT, explains the use of ChatGPT, API-based use cases and applications in the field of Web3 and metaverse, and finally discusses the future of ChatGPT and AI Outlook was carried out.
The whole book adopts easy-to-understand language, from shallow to deep, step by step, and fully shows the whole picture of ChatGPT and the magic of the AI technology behind it. It is suitable for AI enthusiasts, practitioners, entrepreneurs and investors to read.
Contributor: Ji Xu
Editor in charge: Zhang Shuqian
Reviewer: Shi Jing
Book donation activities
In order to give back to the fans for their great support, this time, the 6 major bloggers will give out a total of 18 copies of "Hello, ChatGPT". To participate, please jump to my community post:
Quick way to participate, follow the arrow to find the QR code of the WeChat public account [Architect Li Ken] with the same name, scan the QR code to follow and reply [ 666 ] to participate.
