ReLLM
A platform providing your app with sensitive contextual information in just minutes.
What is ReLLM?
ReLLM offers a platform that quickly gives your app permission-based context. This platform lets you give long-lasting memory to a large language model, such as chatGPT, for its use.
How to use ReLLM?
To access ReLLM, create an account first. After account creation, you can incorporate ReLLM into your application by providing users with permission-sensitive context. This context is utilized by chatGPT to produce responses. ReLLM manages chat history and message chain on your behalf, enabling you to concentrate on your customers.
Features
- The key characteristics of ReLLM are as follows:
- Contextual Long-Term Memory for Advanced AI Chat Systems
- Communication with users powered by ChatGPT
- Permission-sensitive GPT memory and context
- Safe encoding of built-in information
- Managing conversations to organize message sequences.
Use Cases
- ReLLM is beneficial in multiple areas, including: - Conversational interfaces - Digital personal assistants - Automated customer service platforms - Multilingual translation software - Content creation platforms
Frequently Asked Questions
ReLLM offers a platform that gives your app permission-sensitive context quickly. It enables you to give long-term memory for use in a big language model like chatGPT.
To get started with ReLLM, create an account first. After creating the account, you can connect ReLLM to your application by giving users permission to access sensitive information. This information helps chatGPT create suitable responses. ReLLM takes care of the conversation history and message order for you, letting you focus on serving your customers.
ReLLM offers context that is sensitive to permissions for use in a large language model such as chatGPT. This enables users to have a long-term memory for creating responses.
To utilize ReLLM, create an account and incorporate it into your application. Offer your users context that is sensitive to permissions, and ReLLM handles chatGPT interactions.
Key features of ReLLM include memory that understands context over time, communication powered by chatGPT, GPT memory that respects permissions, secure protection of stored data, and management of chat.
ReLLM proves to be beneficial in various applications such as chatbots, virtual assistants, customer support systems, language translation apps, and content generation tools.
