AI in Banking: Digital Transformation of Financial Services
Imagine walking into a bank branch and instead of long queues, an intelligent assistant fulfills all your needs within...
RLHF: How Artificial Intelligence Learns from Human Feedback?
Imagine asking an AI language model to write a formal email, but instead of professional text, you receive a completely...
Claude Code: The Intelligent Assistant for Coding in Terminal and IDE
Imagine it's 11 PM and you need to write a complete API for your project. Normally, this would take hours: designing en...
What is Transfer Learning? Applications, Benefits and Implementation
Imagine a heart specialist wanting to specialize in pulmonology. Should they forget all their medical knowledge and sta...
AI in Sports: Performance Analysis and Physical Training
Imagine watching a football match. Smart cameras are precisely tracking every player's movements - not just their posit...
Artificial Superintelligence (ASI): A Future Beyond Human Imagination
Imagine waking up to hear that a scientist in a Tokyo lab has discovered a definitive cure for Alzheimer's - not in 15...
Continual Learning: How Can AI Learn Like Humans Without Forgetting?
Imagine you've trained an AI model to recognize five different cat breeds. Now you want to add a sixth breed. In tradit...
Sparse Attention: Smart Architecture for Efficient Processing in Language Models
Imagine you need to analyze a 1,000-page book. Would you really need to compare every word with every other word? Or co...
Claude Haiku 4.5: Fast and Economical AI for Professional Applications
In mid-October 2025, Anthropic introduced Claude Haiku 4.5 - a model that delivers performance similar to Claude Sonnet...
Mixture of Depths (MoD): Dynamic Compute Allocation in Transformer Models
Imagine reading a complex book. Do you spend equal time and effort on every word? Certainly not! Some sentences are sim...
Flash Attention: Optimizing Attention Mechanism in Transformers
In the world of artificial intelligence, Transformer models have become the backbone of large language models. From GPT...
QLoRA: Fine-Tuning 65-Billion Parameter Models on a Single Consumer GPU
Imagine wanting to customize a 65-billion parameter language model for your specific business needs. In the not-so-dist...
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