Blog
5 minIntroduction to GPTs: Tips and Tricks
Recently, OpenAI released the functionality of its natural language generator to ChatGPT, which allows users to create custom conversational agents for their needs, called GPTs. With GPTs, users can make their own GPT with a specific context in mind, a knowledge base, actions, and different functionalities. Let’s quickly explore the process...
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5 minUltimate Guide to build a Knowledge Base for AI bot
Today we are going to explore how to create a knowledge base for GPTs or LLama2 AI bot. A knowledge base is the “data” foundation of your AI or GPT. It contains the relevant information that you want your GPT to use and learn from. GPT is a language model that has been trained on a large amount of information from various sources. However, this information may be to broad knowledge for your GPT’s or AI bot specific domain or expertise...
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5 minGPTs vs Llama 2 AI Applications: Detailed Comparison
In the rapidly evolving world of AI technology, GPTs and Llama 2 AI applications stand out as leading contenders. GPTs, powered by OpenAI's GPT models, especially the renowned GPT-4, are known for their robust performance and versatility. On the other hand, Llama 2 AI apps, deriving their strength from the Llama language model developed by Meta, boast open-source flexibility. This article delves into the intricate differences between these two giants, focusing on various aspects like infrastructure...
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6 minGPTs OpenAI Terms of Service: What You Need to Know
GPTs are amazing tools that can help you create amazing content using artificial intelligence. They are powered by ChatGPT, an AI Application that uses OpenAI’s technology. But before you start using GPTs, you need to know some important things about OpenAI’s Terms of Service and Privacy for GPTs. In this article, I will explain some of the key points that you should be aware of.
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7 minAI Context Window - How does it affect AI application?
Artificial intelligence (AI) is a broad term that encompasses many fields and applications, such as natural language processing, computer vision, speech recognition, machine learning, and more. AI systems often rely on large amounts of data to learn from and perform various tasks, such as understanding, generating, or translating natural language, recognizing faces or objects in images, or playing games...
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