LLM is an extremely hot topic nowadays. In our company, we drive several projects for our customers using this technology. There are more and more tools, researches, and resources, including no-code, all-in-one solutions. The topic for today is RAG – Retrieval Augmented Generation. The aim of RAG is to retrieve necessary knowledge and generate answers to the users’ questions based on this knowledge. Simply speaking, we need to search the company knowledge base for relevant documents, add those documents to the conversation context, and instruct an LLM to answer questions using the knowledge. B ..read more

As modern vehicles become more connected and feature-rich, the need for efficient and reliable communication protocols has grown. One of the critical aspects of automotive systems is the HVAC (Heating, Ventilation, and Air Conditioning) system, which enhances passenger comfort. This article explores how to integrate HVAC control in Android with the DDS (Data Distribution Service) protocol, enabling robust and scalable communication within automotive systems. This article builds upon the concepts discussed in our previous article, “Controlling HVAC Module in Cars Using Android: A Dive into SOM ..read more

In today’s rapidly evolving digital landscape, the need to modernize legacy systems and applications is becoming increasingly critical for organizations aiming to stay competitive. Once the backbone of business operations, legacy systems are now potential barriers to efficiency, innovation, and security. As technology progresses, the gap between outdated systems and modern requirements widens, making modernization not just beneficial but essential. This article provides an overview of different legacy system modernization approaches, including the emerging role of generative AI (GenAI). We wil ..read more

In today’s fast-paced digital landscape, businesses constantly seek ways to boost efficiency and cut costs. With the rising demand for seamless customer interactions and smoother internal processes, large corporations are turning to innovative solutions like chatbots. These AI-driven tools hold the potential to revolutionize operations, but their implementation isn’t always straightforward. The rapid advancements in AI technology make it challenging to predict future developments. For example, consider the differences in image generation technology that occurred over just two years: Source: h ..read more

The integration of generative AI into data analytics is transforming business data management and interpretation, opening vast possibilities across industries. Recent statistics from a Gartner survey indicate significant strides in the adoption of generative AI: 45% of organizations are now piloting generative AI projects, with 10% having fully integrated these systems into their operations. This marks a considerable increase from earlier figures, demonstrating a rapid adoption curve. Additionally, by 2026, it’s predicted that more than 80% of organizations will use generative AI applications ..read more

In today’s tech-driven business environment, large language models (LLM)-powered chatbots are revolutionizing operations across a myriad of sectors, including recruitment, procurement, and marketing. In fact, the Generative AI market can gain $1.3 trillion worth by 2032. As companies continue to recognize the value of these AI-driven tools, investment in customized AI solutions is burgeoning. However, the growth of Generative AI within organizations brings to the fore a significant challenge: ensuring LLM interoperability and effective communication among the numerous department-specific GenAI ..read more

The automotive industry is undergoing a transformative shift towards electrification and automation, with vehicles becoming increasingly reliant on sophisticated electrical and electronic systems. At the heart of this evolution lies the architecture that governs how these systems are organized and integrated within the vehicle. Two prominent paradigms have emerged in this domain: domain architecture and zone architecture. Source: https://www.eetasia.com/the-role-of-centralized-storage-in-the-emerging-zonal-automotive-architecture/ Domain Architecture: In this approach, various electrical and ..read more

In an era where more than 80% of enterprises are expected to use Generative AI by 2026, up from less than 5% in 2023, the integration of AI chatbots is becoming increasingly common​. This adoption is driven by the significant efficiency boosts these technologies offer, with over half of businesses now deploying conversational AI for customer interactions. In fact, 92% of Fortune 500 companies are using OpenAI’s technology, with 94% of business executives believing that AI is a key to success in the future. Challenges to GenAI implementation The implementation of large language models (LLMs) an ..read more

Blend AI assistant concepts together This series of articles starts with a general chatbot description – what it is, how to deploy the model, and how to call it. The second part is about tailoring – how to teach the bot domain knowledge and how to enable it to execute actions. Today, we’ll dive into the architecture of the application, to avoid starting with something we would regret later on. To sum up, there are three AI assistant concepts to consider: simple chatbot, RAG, and function calling. I propose to use them all at once. Let’s talk about the architecture. The perfect one may look ..read more

Making the chatbot more suitable Recently we’ve built a simple chatbot, using an Azure-hosted GPT 4 Turbo instance. It’s a great starting point, but we definitely need more to fulfill any business requirements. Let’s try to talk with our bot. Prompt: Hi, I’d like to buy a new car. Can you assist me with a choice? I’m looking for a family car with a hybrid powertrain and all-wheel drive. I’m a fan of modern design and fancy features. My budget is around 70k euro. Completion: Absolutely, I’d be happy to help you find a suitable family car that meets your criteria! Given your preferences (…), the ..read more