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Tatiana Verbitskaya

Tatiana Verbitskaya

Tatiana Verbitskaya is a Solutions Engineer dedicated to solving complex problems. In addition to her client-facing work at Keymakr, she is also an active contributor to the computer vision community.

Micromobility annotation

Micromobility annotation

Micromobility annotation is the labeling of cyclists, pedestrians, scooters, skateboards, bicycles, and other micro-mobility devices for training urban mobility AI in complex urban scenarios, including accurate e-scooter detection. The main goal is to transform complex street scenes into structured data through bounding boxes, keypoints, segmentation, and tracking, enabling reliable e-scooter

Vector Embeddings Explained: Semantic Search & LLM Integration Guide

Vector Embeddings Explained: Semantic Search & LLM Integration Guide

In modern search systems and large language models, semantic similarity embeddings play a key role, enabling computers to work not only with words but also with content. Thanks to text and word embeddings, text, documents, and queries are transformed into semantic vectors, in which the proximity between vectors reflects semantic

Enterprise RAG Architectures (Step-by-Step)

Enterprise RAG Architectures (Step-by-Step)

If you ask artificial intelligence about your company’s internal policy, which it has no idea about, it answers with fabrications. Large language models are trained on general information from the internet and do not have access to your internal, private data. This leads to errors, often referred to as

LoRA Method for Efficient LLM Adaptation

LoRA Method for Efficient LLM Adaptation

Today, LLMs impress us with their capabilities, but adapting them for specific professional tasks or unique communication styles creates serious technical challenges. The traditional approach, known as full fine-tuning, requires updating all billions of parameters in the neural network at once. Usually, this causes a massive load on computing resources

Top Predictive Analytics Tools for Data Teams

Top Predictive Analytics Tools for Data Teams

Imagine being able to look into the future of your business. This is precisely what predictive analytics does: a process that takes historical data, combines it with statistics and powerful machine learning technologies, to forecast future events. For example, we can predict how much demand for a product will increase

LLM Fine-Tuning: Complete Guide to Domain-Specific Model Adaptation [2026]

LLM Fine-Tuning: Complete Guide to Domain-Specific Model Adaptation [2026]

The topic of fine-tuning large language models arises when it becomes apparent that general-purpose LLMs do not always behave as expected in specific tasks. A general model may be effective at supporting dialogue or answering broad questions, but when dealing with narrow topics, specialized terminology, or fixed-response formats, its behavior

LLM AI: The Business Impact of Language Models

LLM AI: The Business Impact of Language Models

Artificial Intelligence has been an integral part of modern business for quite some time. The emergence of large language models marked a qualitatively new stage of powerful systems capable of understanding, generating, and summarizing human language on an unprecedented scale. Language is the foundation of any business activity: from customer