What is GPT4All and how to use it
Miscellaneous / / August 30, 2023
It will help to work with the neural network offline and create non-standard queries.
What is GPT4All
GPT4All is an ecosystem for training and deploying large language models that run locally on regular consumer-grade computers. Most of the currently popular language models are proprietary. These services are provided as an online service with a paid subscription or a limited license. Many of these systems cannot be run on conventional hardware due to their large size and hardware requirements.
The GPT4All project makes language models available to a wider range of users. Any individual or organization can train and deploy their own large language models with this tool. The Nomic AI development team maintains and develops this system, adding new features regularly.
GPT4All models are 3GB to 8GB files that can be downloaded and connected to an open source API. For stable operation, you need from 8 to 16 GB of free RAM, respectively. That is, the total amount of RAM in the system should be even more. The application displays warnings if your PC configuration is not suitable for a particular model.
What GPT4All Can Do
GPT4All currently offers 11 language models. This list includes local databases as well as online services ChatGPT 3.5 Turbo and GPT-4. Chatbots from OpenAI can be connected to the program if you have a valid subscription and the appropriate access using the API key, which is located in the account settings.
Ready-made models differ in the number of instructions available, the speed of work, and the style of answers. Many of the systems are able to generate text and answer questions on a large number of topics. The models are trained on a large data set, including verbal dialogues, program code, poetry, songs, and various stories. While the system interacts best with English, requests in Russian often provoke a response with errors.
GPT4All uses mainly the computer's CPU to process requests. Users can set the maximum response length from neural networks, setting a large number of tokens for the limit. This helps to get detailed results. It is also possible to manually set a sample request for better interaction with language models. Chatbot conversations can be saved locally on the device.
It is important to note that not all GPT4All models are suitable for generating large stories or articles. Also, not in all situations, the chatbot will give detailed answers, even if a large limit is set. As noted above, for voluminous models with a large number of instructions, you will need a computer with a margin of RAM - from 24 GB or more. If your system does not meet this requirement, then it is better to limit yourself to using compact models.
How to use GPT4All
GPT4All is available on official website project. The service can be run as a desktop application or using a Python library. The most convenient option is to install a program with a graphical interface for your operating system. To do this, it is enough to download the appropriate client from the site with a size of several hundred megabytes.
After installing the client, the first time you run it, you will be prompted to install one of the models. For starters, you can choose Falcon and LLaMA2. These are small sets that give answers quickly enough. It is convenient to switch between available neural networks - just select the desired option from the drop-down list at the top of the program window.
The main part of the GPT4All interface is the chat page. In addition to the panel for selecting available models, there is also a button for creating a new chat and saving an existing one. At any time, you can go to the screen to download other models and updates. In the upper right part there are basic settings and a panel for managing them.
The process of working with a chatbot is no different from other similar online systems. A detailed request must be entered in the line below. You can add clarifications or restart the generation of the answer with the corresponding button. Compact models usually give the same answers several times in a row. Interesting results can be found if you conduct experiments with different systems and select promt with additional details.
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