By Houd Fathi - April 14, 2023

When dealing with language models like chatGPT, it's not uncommon to encounter "hallucinations," or inaccurate responses. These typically arise when the model is asked to give precise answers in more specialized fields like business. One practical approach to enhance precision is to attach relevant content as context for the chatGPT model. If information isn't available within this context, the model should maintain transparency and just admit that it couldn't find the information.

However, manually providing this additional context can be a inconvenient process. It often involves switching tabs to copy and paste relevant text or documents directly into the chatbox for chatGPT to use.

One practical solution to streamline this process is to use applications designed for this purpose. Take, for example, the Climr app. It doesn't only allow you to attach documents with less effort but also supports vector searches within documents and even incorporating contents from external URLs. This simplifies the task of providing context for the chatGPT model(LLMs), allowing for more precise and reliable interactions. Remember though, the effectiveness of any app lies in meeting the specific needs of its user.

Climr AI agents are useing LLMs to perform specific tasks such as creating custom chatbots to answer questions related to product usage, providing personalized customer support, summarizing content, and generating meaningful insights from data. By leveraging the latest technologies in artificial intelligence, AI agents are able to deliver efficient and effective solutions to complex business challenges. Schedule a consult

Using Langchain. While Langchain offers an alternative solution, it requires programming expertise and involves dealing with code rather than utilizing a simple user interface (UI) to attach your documents to the prompt. Climr offers a more user-friendly approach, allowing you to effortlessly enhance contextual content without the complexities associated with programming.