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Henry Ford did pretty well back in the day by making black cars for every customer. We tailor our solutions.

Knowledge sharing • 10 min read

DeepSeek – How Does an LLM Make the News?

On January 20, 2025, Chinese company DeepSeek released a new large language model that attracted considerable attention both within the Data Science community and across the market. Following the release of DeepSeek R1, NVIDIA’s market value dropped by a total of $589 billion, while many other US stocks associated with AI also plunged during the day. How could such a seemingly ordinary event trigger changes on this scale?

Sólyom BalázsChief Data Officer
AI visualization

Knowledge sharing • 3 min read

ATLAS: A New Solution for Long-Context Language Models

Google's new ATLAS architecture pushes beyond today's context limits. Its adaptive memory module learns even during inference, enabling stable performance on sequences of up to 10 million tokens. The result? Processing entire books, massive codebases, or even hours of video may soon become practical.

Trendency

Knowledge sharing • 2 min read

Prompt Routing

We ask the question, and the LLM delivers an answer—but what happens behind the scenes? Often, the key is prompt routing: the technique that automatically directs each request to the most appropriate model or processing pipeline. Rule-based? Embedding-based? Or perhaps RAG? Here's how modern LLM systems make that decision.

Trendency

Knowledge sharing • 3 min read

Segment Anything – But Can It Really Segment Anything?

Foundation models have transformed NLP, while computer vision continues to evolve rapidly. Yet image segmentation has lagged behind. Meta's Segment Anything Model (SAM) aims to change that by supporting prompts in the form of points, boxes, masks, or text—and even generating multiple possible segmentations. Is this the breakthrough the field has been waiting for?

Trendency

Knowledge sharing • 2 min read

Gartner's Top Technology Trends 2025: What They Mean for Data Science

Which technologies will shape the years ahead? Gartner's 2025 Technology Trends report highlights ten key innovations—and nine of them are directly related to artificial intelligence. Here's why the report matters for data science and AI practitioners.

Trendency

Knowledge sharing • 2 min read

From CNNs to Vision Transformers: Two Approaches to Computer Vision

CNNs transformed computer vision with their efficiency and exceptional ability to recognize visual patterns. Vision Transformers (ViTs) introduced a global perspective, driving breakthroughs in detection, segmentation, and multimodal AI. The future lies in combining the strengths of both—from medical imaging to creative AI applications.

Trendency

Knowledge sharing • 1 min read

The Impact of AI on Software Development Speed

Does AI really accelerate software development? A recent study by researchers at METR challenges this widely held belief. Their findings reveal that, under certain conditions, experienced developers actually completed tasks more slowly when using LLMs than when working without AI assistance.

Trendency

Knowledge sharing • 2 min read

Gemini CLI in Practice

Tired of constantly switching between documentation, code generation, debugging tools, and terminal windows? If your desktop looks like a battlefield of browser tabs and frozen applications, Gemini CLI might be the productivity boost you're looking for. It brings AI-powered development directly into your terminal.

Trendency

Knowledge sharing • 2 min read

Simple Solutions for Simple Problems: Classical Machine Learning in Computer Vision

Not every problem needs deep learning. In the age of AI, it's easy to overlook classical computer vision techniques, even though they remain highly effective for many practical tasks. Here's why these "old-school" methods still deserve a place in every machine learning engineer's toolbox.

Trendency

Knowledge sharing • 1 min read

Promptfoo – One of the Biggest Challenges in LLM Development: How Do We Ensure Quality and Security?

At Trendency, we believe that without a systematic, test-driven approach, LLM-based solutions cannot achieve enterprise-grade quality. That's why we explored Promptfoo—an open-source framework designed to evaluate, secure, and optimize LLM applications throughout the development lifecycle.

Trendency
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