![]() Response = index.query(input_text, response_mode="compact") Index = GPTSimpleVectorIndex.load_from_disk('index.json') Index = GPTSimpleVectorIndex(documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper) Llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.7, model_name="text-davinci-003", max_tokens=num_outputs))ĭocuments = SimpleDirectoryReader(directory_path).load_data() Prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit) Additionally, you can create up to five API keys if necessary.įrom gpt_index import SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper ![]() It is important to save this key to a plain text file and keep it private as it is only accessible to your account. To obtain this key, create an account on OpenAI or log in to your existing account, then select "View API keys" from your profile and click "Create new secret key" to generate a unique API key. Next, you will need an API key from OpenAI to train and create a chatbot that uses a custom knowledge base. Step 3: Generate your API Key & Secret Key Step 2: Install a code editor (such as VS Code)įirstly, download a code editor such as Notepad++ for Windows or Sublime Text for macOS and Linux if you have experience with more powerful IDEs like VS Code. These libraries are crucial for creating a Large Language Model (LLM) that can connect to your knowledge base and train your custom AI chatbot. Finally, install the essential libraries needed to train your chatbot, such as the OpenAI library, GPT Index, PyPDF2 for parsing PDF files, and P圜ryptodome. ![]() ![]() This can be done through the Terminal on Windows or Command Prompt on macOS. Secondly, upgrade Pip, which is a package manager that allows you to install Python libraries. Make sure to check the "Add Python.exe to PATH" option during setup. Step 1: Install Python & Upgradeįirst and foremost, download and install Python from the official website. Before you can train a customized ChatGPT AI chatbot, you will need to set up a software environment on your computer. If you are looking for a no-code solution, click here. Full-code solution with the APIīefore we begin, we should warn that this section requires coding experience and extensive understanding of Pyhton. If you want to skip to the no-code solution, click here. In order to accomplish this goal, there are essentially two methods available to you: one of them requires expertise in programming, while the other can be completed without any coding experience in just four minutes. If there is an error in your code and you cannot find it, you can use ChatGPT! Now let's move onto how you can train this smart chatbot on your own data. Its initial use is based on GPT-3.5 tech, but to tap into GPT-4, one needs a Plus package deal.Īnother feature of ChatGPT is that it can find errors in your code blocks and explain them to you. This AI chatbot has a great benefit- it can recall prior conversations, providing a smooth engagement the next time around. Users can chat with the AI bot to create outlines, articles, stories, and summaries based on their conversations with ChatGPT. It creates responses from the user's input by utilizing natural language processing and machine learning. What is ChatGPT?ĬhatGPT is an AI chatbot developed by OpenAI. With this exciting opportunity, we will explore and share the intriguing techniques, tools, and advice needed to build your own ChatGPT chatbot that can potentially change the way you communicate with your website visitors. This is now achievable by training an AI chatbot on personalized data to create a custom AI chatbot for your company. However, imagine a highly intelligent ChatGPT chatbot that understands every aspect of your business and tirelessly handles customer inquiries 24/7. You may have already noticed that ChatGPT is a very basic chatbot that cannot converse with you on a personal level or cater to your specific needs.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |