Artificial intelligence and Large Language Models are buzzwords heard in nearly every industry. Many companies are wondering how to use them safely and which solution will be the most effective. There are plenty of options—and they’re often hard to tell apart. In this article, we break them down in a clear and easy-to-understand way.
In this article, we’ll break down the data privacy policies of top AI platforms. You will also learn what to do to ensure your data is not used for training Large Language Models (LLM).
In this post, we’ll explore several top open-source lightweight LLMs and how to run them on a local Windows PC—whether CPU-only or with a limited GPU—for document processing tasks.
This article explains what to focus on before deploying an AI agent, which areas of the business need to be well-prepared, and how to avoid common mistakes.
Whether you’re building a custom chatbot, agent, an AI-powered code assistant, or using AI to analyse documents offline, local deployment empowers you to experiment and innovate without relying on external services.
In this article, we will take a closer look at AI Agents, which can provide valuable support, particularly in back-office processes.
AI-driven tools are becoming increasingly prevalent across various industries, streamlining processes from simple graphic design and translations to advanced document, email, and database analysis. In this article, we will present a practical business application of an AI assistant in action. AI Agents have a wide range of applications, and their…
This post explores how DeepEval helps systematically assess the effectiveness of both retrieval and generation components, ensuring more reliable machine-generated insights.
The end of the year is a time for summaries. In the world of IT, many interesting things have happened, so in this article, we decided to focus on AI. The development of artificial intelligence and its media presence accelerated to an unprecedented scale. Tools based on Large Language Models…
Experts predict that the market for software utilizing artificial intelligence (AI) to automate tasks and generate content in response to user commands will nearly quadruple by the year 2027. How can you benefit from this growth and prepare your team for new challenges and projects? CEO of Inero Software, Andrzej…
