Категория
Технологии
Статьи о LLM
Будьте в курсе последних методик, инструментов и исследований в области больших языковых моделей. В нашем блоге — о data science, применении и ответственном ИИ.
Другие технологии:
Обучение двух или более человек?Попробуйте DataCamp for Business
GPT-5.3 Codex: From Coding Assistant to General Work Agent
We explore GPT-5.3-Codex, OpenAI’s new general agent. Learn about its self-healing infrastructure, real-time collaboration, and how it performs on benchmarks.
Tom Farnschläder
6 февраля 2026 г.
A Practical Vibe Coding Tech Stack For Fast Shipping
Discover the best tools for frontend, backend, databases, authentication, storage, email, testing, deployment, and monitoring.
Abid Ali Awan
28 января 2026 г.
DeepSeek mHC Explained: Scaling LLMs Beyond FLOPs
Explore DeepSeek’s mHC architecture. Learn how Manifold-Constrained Hyper-Connections solve training instability and optimize memory bandwidth for scaling LLMs.
Aashi Dutt
26 января 2026 г.
LLM Agents Explained: Architecture, Frameworks, and Use Cases
Learn what an LLM agent is, and how it can execute tasks autonomously in agentic workflows. Understand the architecture behind LangChain, CrewAI, and LlamaIndex.
Tim Lu
14 января 2026 г.
Claude vs. Gemini: How Do They Compare?
Understand the design philosophies, benchmark performance, and practical strengths of Anthropic's Claude and Google's Gemini to choose the right AI assistant for your needs.
Vinod Chugani
12 января 2026 г.
What is Humanity's Last Exam? The AI Benchmark For Expert-Level Reasoning
Learn what Humanity's Last Exam is, and how it fits into the AI benchmark landscape.
Mark Pedigo
18 декабря 2025 г.
Top 15 Remote MCP Servers Every AI Builder Should Know in 2026
Discover the top 15 remote MCP servers transforming AI development in 2026. Learn how they enhance automation, reasoning, security, and workflow speed.
Abid Ali Awan
17 декабря 2025 г.
What is a Context Window for Large Language Models?
Learn about AI context windows. Understand how token limits work, why attention costs scale, and how to overcome memory constraints with RAG.
Srujana Maddula
16 декабря 2025 г.
How Does LLM Memory Work? Building Context-Aware AI Applications
Learn how large language models implement memory using context windows, RAG, and advanced architectures.
Benito Martin
16 декабря 2025 г.
What Are AI Guardrails? Building Safe and Reliable AI Systems
Learn how AI guardrails protect AI systems from harmful outputs, ensure compliance, and build user trust.
Benito Martin
16 декабря 2025 г.
GPT 5.2: Benchmarks, Model Breakdown, and Real-World Performance
Discover how GPT-5.2 improves knowledge work with major upgrades in long-context reasoning, tool calling, coding, vision, and end-to-end workflow execution.
Josef Waples
12 декабря 2025 г.
Gemini 3: Google’s Most Powerful LLM
Learn about Gemini 3 Pro, Google’s latest and most powerful LLM, which is topping benchmarks across the board. Plus, discover Gemini 3 Deep Think mode and Google Antigravity.
Matt Crabtree
Josef Waples
19 ноября 2025 г.