Patent Attorney Jobs Los Angeles – ChatGPT was created by OpenAI and was released on November 30, 2022. In just two months, it has become popular worldwide, with more than 100 million monthly users. ChatGPT can engage in conversation and communication by learning and understanding human language, achieving true human intelligence. People who are surprised.) Those who talk about ChatGPT in various fields are: What functions can ChatGPT do in the field and what functions will be replaced? As experts in the technology industry, we believe that ChatGPT is supported by strong strengths in architecture, design, algorithms and data, which can be highly adapted to the needs of today’s intellectual property work. From a short-term perspective, ChatGPT is necessary to replace those services in the field of intellectual property where communication and innovation are not based, and will have a significant impact on the survival of services. From a long-term perspective, as the mental and emotional intelligence of ChatGPT continues to grow, it can enter the stage of artificial intelligence with strong thinking, reasoning ability and creativity.
For many novice users, they may think that Chat GPT is a simple tool when they only get a simple question box after logging into ChatGPT. ChatGPT is an AI chat based on the GPT-3 system (the word “Chat” in its name). It can learn the grammar, syntax and logic of natural language and provide answers by understanding the questions it receives. With powerful algorithm design and rich training data, ChatGPT can help us do many things.
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The full name of “GPT” in ChatGPT is Pre-trained Transformer, which is a deep network pre-trained on large amounts of data. The model can master all natural language processing skills during the iterative learning process. According to public information, the text used to train the GPT-3 model is 45TB (more for the new GPT-4 model), including a large number of natural language texts such as books, articles, news reports, social media. Maybe, etc.
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The full name of GPT in ChatGPT is a pre-trained Transformer, based on the Transformer architecture. It is a deep network that is pre-trained with a large amount of data, and in the process of iterative learning, the model can master global language processing. According to public information, the GPT-3 model used 45T text for the first training and became a large language model (LLM). (The new GPT-4 format uses more text for encryption). This includes a large number of natural language texts, such as books, articles, news reports, social media posts, etc. Through iterative learning, ChatGPT can provide accurate answers to technical, legal and other questions that intellectual property professionals may be concerned with.
Unlike traditional chatbots, ChatGPT is a product of “enhanced” language, which is a form of AGI (Artificial General Intelligence). The ChatGPT model is a general language system that generates content using the “automatic regression generation” method, i.e. By predicting the most likely words in the future based on the text input. During the training process, it learns to produce coherent and relevant messages. By learning the text and language structure in the training data. ChatGPT is not a reliable version of the search engine that relies on high computer speed to find content around the input. Instead, the model generates content based on the knowledge it has learned from the training data.
Due to the 175 billion measurements and deep training of OpenAI’s GPT-3 model and 1 trillion measurements of the GPT-4 model, it can create various types of advertising materials, legal documents, and even help write documents or long reports. Based on simple instructions. It is difficult to distinguish between generated text and human text.
The GPT model is a natural language processing model that recognizes and understands complex language patterns in the learning process. For example, if you receive a technical system as input, ChatGPT can quickly infer the most important technical features of the copyright (since the training data is insufficient for the copyright information, entering only the copyright number may not result in invalid copyright information). . The ability to summarize is an important skill for intellectual property practitioners, for example in preparing requests and reporting office activities.
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ChatGPT is based on machine learning and language processing technology. Predict future events including technology and industry trends based on data and past events, such as time series analysis, text classification, and groups to predict future events, etc.
Unlike other chatbots like Siri, ChatGPT is not a pre-programmed response system. He can remember past conversations and provide ongoing feedback based on these past interactions. In other words, we can communicate and interact with ChatGPT multiple times for specific questions, get multiple answers from different perspectives or get specific answers to specific information. It is similar to the form of creating a design or responding to an Office project.
ChatGPT can be integrated with common software tools, such as search engines, video conferencing software, document editing software, AI design software, etc., and produce amazing results. For example, Microsoft’s new version of the Bing search engine with ChatGPT integrates search results through conversation, displays search information and data collection, and provides information resources (failing ChatGPT, which cannot provide a web connection for users, today, the GPT web. is also developed to display information resources). Bing is already a competitor to Google, and will bring a revolutionary change to the search engine with ChatGPT integration. For example, it can provide direct analysis results of financial reports of two companies, such as BYD and Tesla.
Microsoft has also integrated ChatGPT with the Teams video conferencing tool, allowing for real-time translation of meeting content, as well as completing administrative tasks such as scheduling work emails, recording and creating meeting minutes.
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Meanwhile, on April 16, 2023, Microsoft officially integrated OpenAI’s GPT-4 into its office software, Office, and launched a new AI program called Copilot. This has redefined the workplace value of many skills and disrupted existing office functions. In Word, Copilot can help you edit, summarize and create documents. In PowerPoint, it can provide the presentation of only sentences, and in Excel, it can provide search parameters and immediate data processing.
The previous example only focused on the text-based capabilities of ChatGPT, but now there are many applications of ChatGPT in audio and video production. ChatGPT can generate code or text, which can then be used to create appropriate images and videos using professional software tools (such as CAD, Midjourney, Synthesia, Veed.io). Can edit and create images (this feature has not yet been released to the public).
The main features of the ChatGPT language continue to show capabilities that even developers could not predict. For example, after the development of ChatGPT-4, the developers are constantly learning and using various unexpected abilities that are being manifested.
The artificial intelligence tools represented by ChatGPT have demonstrated powerful capabilities. grow bigger. It can be seen that artificial intelligence tools like ChatGPT will inevitably enter the field of business applications in the future. With regulatory and related issues, new business opportunities will emerge, and will have an unprecedented impact on some professions and positions.
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Based on the actual capabilities of ChatGPT and current application testing, from a technical point of view, ChatGPT can help us manage the following types of services:
Access to information and integration, such as the collection and initial processing of various types of information on law, technology, economy and industrial development.
The features of the ChatGPT application will also differ with deeper functions such as access to official websites, WeChat groups, office systems, professional tool software, etc. It can be imagined that in the future work environment, software tools with AI features can appear in any area where artificial intelligence can play a role.
Secretarial work includes administrative work and activities such as writing letters, receiving and sending documents, organization and administration, and producing various documents such as meetings and statistical reports, document translation, etc. These projects require little design and require repetitive work. ChatGPT’s entry into this field is very extensive. ChatGPT’s content creation feature replaces these repetitive content-related tasks. In the future, ChatGPT will increase its process management capabilities by integrating with the office system.
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