An anomaly is an unusual observation or pattern that may indicate something important or abnormal. In machine learning and data analysis, an anomaly is a data point, event, behaviour or ...
An anomaly is an unusual observation or pattern that may indicate something important or abnormal. In machine learning and data analysis, an anomaly is a data point, event, behaviour or Read article →
Reward is one of the core concepts in reinforcement learning. It is a numerical signal that an agent receives after taking an action in a certain situation. This signal tells ...
Reward is one of the core concepts in reinforcement learning. It is a numerical signal that an agent receives after taking an action in a certain situation. This signal tells Read article →
Embedding is a numerical representation of content that allows a model or search system to compare meaning, not just exact wording. A text, image, document or another input is converted ...
Embedding is a numerical representation of content that allows a model or search system to compare meaning, not just exact wording. A text, image, document or another input is converted Read article →
A large language model, usually shortened to LLM, is a type of artificial intelligence model designed to process and generate natural language. It is trained on very large amounts of ...
A large language model, usually shortened to LLM, is a type of artificial intelligence model designed to process and generate natural language. It is trained on very large amounts of Read article →
AI risk management means identifying, measuring, controlling and monitoring risks created by AI systems. It helps organisations understand what can go wrong, how serious the impact could be, which safeguards ...
AI risk management means identifying, measuring, controlling and monitoring risks created by AI systems. It helps organisations understand what can go wrong, how serious the impact could be, which safeguards Read article →
Clustering is an unsupervised machine learning method used to group similar data points together. It helps find structure in data without predefined labels, so analysts and models can discover segments, ...
Clustering is an unsupervised machine learning method used to group similar data points together. It helps find structure in data without predefined labels, so analysts and models can discover segments, Read article →
Multimodal models are AI models that can work with more than one type of input at the same time - for example text, images, audio, video, documents, charts or screenshots. ...
Multimodal models are AI models that can work with more than one type of input at the same time - for example text, images, audio, video, documents, charts or screenshots. Read article →
Prompt engineering is the practice of designing prompts for a language model in a deliberate way so that the model produces more precise, useful and contextually appropriate outputs. It is ...
Prompt engineering is the practice of designing prompts for a language model in a deliberate way so that the model produces more precise, useful and contextually appropriate outputs. It is Read article →
DMARC, short for Domain-based Message Authentication, Reporting and Conformance, is one of the most important technical concepts in email deliverability and domain protection. It is also one of the most ...
DMARC, short for Domain-based Message Authentication, Reporting and Conformance, is one of the most important technical concepts in email deliverability and domain protection. It is also one of the most Read article →
A TXT record is a DNS record used to store text-based information for a domain or subdomain. At first sight, that can sound vague, but in practice TXT records are ...
A TXT record is a DNS record used to store text-based information for a domain or subdomain. At first sight, that can sound vague, but in practice TXT records are Read article →
Hi, my name is Michal Krčmář. I am digital entrepreneur currently based in Prague (Czechia). I’ve been working on websites and delivering online marketing campaigns as a commercially-focused freelancer since 2006 for big prestigious brands, worked in-house for many years as consultant, manager or director and run several own startups. I founded/co-founded several companies with annual turnaround around 10+ mio USD. When I am not actually working on my business I try to constantly pass on my broad experience through seminars and online training, I also organize company trainings and workshops.
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