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Inna Nomerovska

Inna Nomerovska

Inna Nomerovska is the VP of Marketing and Brand Strategy at Keymakr | Keylabs. She is a tireless technology enthusiast with 15 years of experience in international marketing and startup background.

Mastering Prompt Engineering for LLMs in 2026

Mastering Prompt Engineering for LLMs in 2026

In 2026, the capabilities of LLMs have reached a level where they are capable of complex reasoning and autonomous task execution. However, even with the high intelligence of these models, prompt engineering remains a vital component of interacting with artificial intelligence. Any LLM operates on the principle of probabilistic completion.

LLM Deployment: Complete Guide to Production-Ready Model Serving

LLM Deployment: Complete Guide to Production-Ready Model Serving

In today’s AI world, large language models open up new possibilities for automation, text generation, and interactive services. However, for such models to work effectively in real-world applications, it is necessary to properly organize model deployment and ensure stable model serving. An important role here is played by optimizing

Multimodal LLM: Visual-language models that understand images and text

Multimodal LLM: Visual-language models that understand images and text

Systems that combine image and text data can reduce interpretation errors in real-world tests. By combining image grids, text sequences, and audio signals, these language models gain richer context for better understanding and generation. These multimodal AI systems leverage multiple modalities for improved context. Each type of input uses a

Best Coding LLMs 2026: Top AI Models Ranked

Best Coding LLMs 2026: Top AI Models Ranked

In 2026, LLMs for programming have finally transformed from experimental assistants into a fundamental part of the technological development stack. While previously the use of artificial intelligence was limited to simple prompts in the editor, today it covers the full product creation lifecycle: from architectural planning to automatic deployment. AI

LLM Finance: Specialized Language Models for Banking & Investment

LLM Finance: Specialized Language Models for Banking & Investment

Banks, investment firms, insurance companies, and fintech organizations handle vast amounts of structured and unstructured information every day: financial statements, analytical reviews, market news, regulatory documents, and client requests. Large language models of the next generation open up qualitatively new opportunities for automation, analytics, and decision-making. Specialized LLMs for finance

Global AV Datasets and Regional Labeling

Global AV Datasets and Regional Labeling

Creating a universal autonomous driving system is impossible without considering the global context, as artificial intelligence algorithms directly depend on the diversity of input data. A model that demonstrates flawless performance on the perfectly marked highways of California can become dangerous in the snowy conditions of Scandinavia or the chaotic

Complete guide RLHF for LLMs

Complete guide RLHF for LLMs

Reinforcement Learning with Human Feedback (RLHF) is a key approach to aligning large language models (LLMs) with human values and expectations. Rather than relying solely on automated metrics, RLHF uses human ratings to train models to select relevant responses. This method enables LLMs to generate grammatically correct text and exhibit