How to create artificial intelligence applications using ChatGPT
OpenAI launched ChatGPT in November 2022, quickly allowing the world to witness the awesome superpowers of generative artificial intelligence. So how to explain the incredible popularity of this chatbot within just a few months of its release?
ChatGPT has exploded in the technology field and has become the fastest-growing user base in history. Fast application. According to Reuters, ChatGPT has a whopping 100 million monthly active users just two months after its launch, making it the fastest-growing consumer application.
People are exploring the many capabilities of this large language model, and this article will introduce the process of using ChatGPT to create artificial intelligence applications. Before that, let’s discuss ChatGPT, what it does, and why it’s so important.
What is a chatbot?
Simply put, a chatbot is a type of artificial intelligence-driven computer software that can engage in text- or audio-based online conversations with users. Chatbots are almost everywhere - from apps and websites to messaging services such as Twitter, Facebook Messenger and WhatsApp.
Continuous demand for customer support, adoption of sophisticated chatbots by industry players, and rising popularity of chatbots on e-commerce websites are the major factors driving the growth of the chatbot market.
However, user demand for chatbot technical knowledge and inaccuracies in user voice authentication hinder market expansion. Plans to develop self-learning chatbots that can provide more human-like interactions are expected to boost the expansion potential of the artificial intelligence industry.
What is ChatGPT and how does it work?
ChaGPT is a generative artificial intelligence chatbot, an artificial intelligence system trained to convert text into image content. Visitors can ask ChatGPT questions or seek explanations for their answers via prompts, similar to automated chat services seen on customer support sites. OpenAI calls ChatGPT a sibling to one of its tools, InstructGPT, which follows human prompts or queries and provides detailed responses.
General artificial intelligence uses a pre-trained Transformer to answer questions in a natural way. It can provide all the answers, create engaging content and marketing campaigns, and convert readers into loyal customers.
ChatGPT uses text from the internet to learn human language, then uses the text to learn the basics of conversation. Through its generated pre-trained Transformers, ChatGPT analyzes data sequences to identify patterns. ChatGPT uses the third version of the generative pre-trained Transformer, neural network machine learning model and GPT-3 language model.
ChatGPT was trained using a 300 billion word dataset, and its 570GB dataset consists of materials collected online, books, Wikipedia and other sources. Thanks to a large language system, ChatGPT uses probability to predict the next word or prompt in a sentence.
The founder of ChatGPT
ChatGPT was developed by San Francisco-based startup OpenAI, which received financial support from several investors at the time, the most famous of which It's Microsoft. Businessmen and researchers including Elon Musk and Sam Altman created the platform in 2015. By the end of 2024, ChatGPT owner OpenAI expects to be able to generate $1 billion in revenue.
Currently, almost all major enterprises and leaders in the industry are strategically using this artificial intelligence tool to achieve their goals, and nearly 90% of brands or marketers are making full use of ChatGPT.
What can users do with ChatGPT?
From helping users monetize and changing the face of the healthcare and financial industries, to simplifying contact center functionality, enhancing digital customer experiences and enhancing contact center At work, ChatGPT has always been an extraordinary force that cannot be ignored. In addition to customer service operations, ChatGPT enables content marketers, sales professionals, and even students to create original content when prompted by user input. Thanks to generative artificial intelligence, computers now seem to be more creative.
- Writing a program
- Creating videos
- Writing product descriptions, advertising copy, etc.
- Writing emails
- Writing articles, Excerpts for Podcasts and Speeches
- Create Title
- Write Essay/Poetry
- Compose
- Generate Article
- Generate Trivia Questions
- Create e-book
- Write resume
According to predictions by Precedence Research, the global chatbot industry is expected to exceed US$4.9 billion by 2032 , up from an estimated $880 million in 2022, and will grow at a CAGR of 19.29% from 2023 to 2032.
Software environment preparation
Before using ChatGPT to build an artificial intelligence chatbot, you need to use some tools to prepare and set up the software environment. For example, code editors such as OpenAI, Python, Notepad, Pip and Gradio libraries are required, as well as an OpenAI API key.
While using all of these tools may feel overwhelming at first, they are all simple and do not require any special technology or skills.
Users can follow the following steps:
Step 1: Installing Python on your PC is the first step. Visit its link to download platform-specific installation files.
Step 2:Run the installation file. Click the "Add Python.exe to PATH" checkbox and click "Install Now" to follow the usual steps to install Python.
Step 3: To double check that Python is installed correctly, open a terminal on your computer. You can also use the command prompt.
Step 4: Use the command below to get the Python version. Will output the Python version. In Linux or other systems, users may need to use python3-version instead of python-version.
pip upgrade
When the system installs Python, it also installs pip (Python software package). Here we will focus on how to upgrade pip. It enables users to install many Python libraries using the terminal. The OpenAI and Gradio libraries can be installed via pip.
Step 1: Launch your preferred terminal on your computer and run the command to upgrade pip. On Linux or other platforms, you may need to use pip3 and Python3.
python-mpipinstall-Upip
Install OpenAI and Gradio libraries
To interact with ChatGPT, users need to install the OpenAI library, which will enable users to interact with ChatGPT through their API chat.
Step 1: Execute the following command line in the terminal and use pip to install the OpenAI library. If the first command doesn't work, try executing it using pip3.
Step 2: After the installation is complete, install Gradio. With Gradio, users can easily create a user-friendly web interface to showcase their artificial intelligence chatbot. Additionally, it enables simple online chatbot sharing via shareable links.
Download Code Editor
Step 1: Download Code Editor to prevent having to edit code.
Step 2: Use the link in the attachment to download and install the app.
Step 3: If the user is familiar with a powerful IDE, VSCode can be used on any platform. On macOS and Linux, in addition to VSCode, SublimeText can also be installed.
Step 4: In ChromeOS, users can edit code using the magical caret tool.
Get OpenAI API Key (Free)
One of the basic requirements for creating an AI chatbot based on ChatGPT is an API key from OpenAI Corporation. Users can call ChatGPT in their own interface and get results instantly, thanks to API keys. For the first three months, OpenAI is giving away a free API key and $5 in free credits.
If users have previously registered an OpenAI account, they may receive $18 in free credits. Once the free credits are used up, users will need to pay for API access. However, it is currently open to all free users.
Step 1: Open platform.openai.com/signup and create a new account. If it is an old account, you will need to enter your login credentials.
Step 2: In the upper right corner, click Profile and click "View API Key" from the drop-down menu.
Step 3: Copy the API key, select "Generate New Key" and click. It is important to note that the full API key cannot be copied or read later. Therefore, it is highly recommended to copy and paste the API key into a notepad file immediately.
Step 4: Do not disclose or display the API key to the public. This is a private key that can only be used to access the user's account. Additionally, users can generate a large number of private keys and wipe API keys (up to 5).
Create your own artificial intelligence chatbot using ChatGPT API and Gradio
The user uses the "GPT-3.5-turbo" model from OpenAI, which is the latest version of GPT-3.5. It's considered more powerful than the Davinci, more responsive than older devices, more affordable, and capable of recalling scenes from conversations.
For the user interface, use Gradio to build a simple web interface that can be accessed locally and online.
Step 1: Paste the code below into notepad or any code editor of the user's choice.
Step 2: Replace the "Your API key" text with the previously generated API key. The user only needs to make one modification.
Step 3: Click "File" in the top menu and save it using "Save As" in the drop-down menu.
Step 4: Name the file "app.py". In the drop-down options, select "Save as type" and select "All types."
Step 5: Save the document to an easy-to-find location, such as your computer desktop. As long as the .py is added, the user can rename it to anything they like.
Step 6: Access the location where the file is stored (app.py). Select "Copy as path" and right-click on it.
Step 7: Go into the terminal and enter the commands listed below. Type Python, add spaces, paste the path (use the right-click menu to easily paste), and press Enter.
Remember, your computer's file path will be different. Users may need to use Python3 on Linux platforms.
python "C:\Users\mearj\Desktop\app.py"
Step 8: Ignore any warnings that may pop up. Copy the local and public URLs from the bottom and paste them into your web browser.
Users have successfully built their own artificial intelligence chatbot using the ChatGPT API and it is ready to use. Copy the public URL and share it with family and friends. Every question from users can be answered quickly. In addition to the ChatGPT alternative, users can also use their own chatbot as an alternative to the official website.
The link will be active for 72 hours, but since the web server instance is running on the user's machine, it must be kept active as well.
Step 9:Enter the terminal and press "Ctrl C" to shut down the server. If it still doesn't work, click "Ctrl C" again.
Step 10: Copy the file path again and execute the following command to restart the artificial intelligence chat robot. Each time the server is restarted, the local URL will remain the same, but the public URL will change.
python "C:\Users\mearj\Desktop\app.py".
These are the steps for Chatbot to build your own chatbot using the ChatGPT 3.5 model. It is also possible to customize the gpt-3.5-turbo model. With artificial intelligence technology, users’ choices are unlimited and anything can be achieved.
While using ChatGPT to create artificial intelligence applications is a milestone in the history of artificial intelligence, the chatbot developed by OpenAI also has some limitations, and it has even been used for malicious purposes, such as creating phishing emails and Hacking program.
Conclusion
Due to the emergence of generative artificial intelligence, 2023 is expected to be the most interesting year for artificial intelligence. However, as with any new technology, business executives must proceed with caution, as current technologies pose many ethical questions and face some practical difficulties.
The above is the detailed content of How to create artificial intelligence applications using ChatGPT. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1386
52
ChatGPT now allows free users to generate images by using DALL-E 3 with a daily limit
Aug 09, 2024 pm 09:37 PM
DALL-E 3 was officially introduced in September of 2023 as a vastly improved model than its predecessor. It is considered one of the best AI image generators to date, capable of creating images with intricate detail. However, at launch, it was exclus
Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions
Jun 28, 2024 am 03:51 AM
This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP
Context-augmented AI coding assistant using Rag and Sem-Rag
Jun 10, 2024 am 11:08 AM
Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application
Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations
Jun 11, 2024 pm 03:57 PM
Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it
To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework
Jul 25, 2024 am 06:42 AM
Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A
SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time
Jul 17, 2024 pm 06:37 PM
Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S
SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc.
Aug 01, 2024 pm 09:40 PM
According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year
Laying out markets such as AI, GlobalFoundries acquires Tagore Technology's gallium nitride technology and related teams
Jul 15, 2024 pm 12:21 PM
According to news from this website on July 5, GlobalFoundries issued a press release on July 1 this year, announcing the acquisition of Tagore Technology’s power gallium nitride (GaN) technology and intellectual property portfolio, hoping to expand its market share in automobiles and the Internet of Things. and artificial intelligence data center application areas to explore higher efficiency and better performance. As technologies such as generative AI continue to develop in the digital world, gallium nitride (GaN) has become a key solution for sustainable and efficient power management, especially in data centers. This website quoted the official announcement that during this acquisition, Tagore Technology’s engineering team will join GLOBALFOUNDRIES to further develop gallium nitride technology. G
