How to Set Up DeepSeek on Janitor AI: Step-by-Step Guide
To set up DeepSeek on Janitor AI, you must first generate an API key from the DeepSeek open platform or an aggregator like OpenRouter. Once you have your key, open…
Insights That Shape The Future of AI
To set up DeepSeek on Janitor AI, you must first generate an API key from the DeepSeek open platform or an aggregator like OpenRouter. Once you have your key, open…
The fastest way to turn off AI Overviews on Google Search is to use the “Web” filter or force a “clean” search URL. While Google does not provide a single,…
When you type “God” into a major AI model like ChatGPT, Gemini, or Claude, the system does not “think” about the divine or access spiritual understanding. Instead, it triggers a…
The most effective way to incorporate yourself into an AI image generator is by training a LoRA (Low-Rank Adaptation) model. To do this, you must gather 15–20 high-quality photos of…
AI chatbot conversations can be saved, organized, and accessed securely using built-in platform tools, cloud storage, databases, or manual exports. Most modern AI chatbots automatically store conversation history, allowing users…
In 2026, Generative AI has evolved from a simple content creation tool into an ecosystem of “Agentic AI”—autonomous systems capable of planning, reasoning, and executing complex workflows with minimal human…
Creating a custom AI chatbot in 2026 no longer requires a computer science degree or a single line of complex code. In fact, the process has evolved into a streamlined…
Implementing an AI assistant effectively involves a structured, four-phase lifecycle: Strategy, Data Preparation, Integration, and Optimization. It is not simply about plugging in a chatbot; it requires mapping specific workflows…
Retrieval-Augmented Generation (RAG) is the architectural framework that solves the “amnesia” problem of Large Language Models (LLMs) by connecting them to your organization’s live, proprietary data. In a standard Enterprise…
A vector database is a specialized type of database designed to efficiently store, index, and retrieve high-dimensional vector embeddings, which are numerical representations of complex data like text, images, and…