AiBrain

by Intent

To know if a model can act alone in a multi-agent workflow: EPOCH-Bench, an agentic planning benchmark inspired by Day of the Tentacle, with PDDL, 6 levels and 6 metrics to break down failure modes.

Practical guide to anchor your LLM responses on the web — without getting trapped. Comparison of three approaches (integrated, classic API, AI-optimized), analysis of hidden costs, and defense strategies against web poisoning.

Why "review this code" and "review this code for security" don't yield the same results. How the prompt guides the model's exploration and why multiplying perspectives improves response quality.

Why LLMs “recompute” simple facts, and how Engram (DeepSeek) proposes an on-demand external memory to retrieve them quickly.

Analysis of publications on AI agents: the golden rule of deterministic feedback, patterns that work, those that fail, and 7 design principles for building reliable systems.

Complete guide to the 11 multi-agent orchestration patterns: Pipeline, Supervisor, Collaborative, Hierarchical, Fan-out/Fan-in, Evaluator/Critic, Blackboard, Debate, Reflection, Swarm and Council. How to structure the collective intelligence of your AI agents.

Demystify the famous analogy "king - man + woman = queen" by understanding how AI models represent words as points in a multidimensional vector space through embeddings.

Practical guide to building a high-performance AI agent: languages, orchestration, models, telemetry, storage and runtime. The fundamental building blocks.

Anthropic published its Agent Skills specification as an open standard on December 18, 2025. Agent Skills enables transforming a generalist AI into a specialist for your business processes by creating an "onboarding kit" that the AI automatically loads when needed, avoiding repeating the same instructions in every conversation.

Discover how multi-head attention, through the metaphor of 8 projectors, enables ChatGPT and LLMs to decode complex sentence nuances in parallel.

The debate over the announced death of Transformers resurfaces. By late 2025, Attention-SSM hybrid architectures gain ground for efficiency, but pure Transformers still dominate complex reasoning. Reality: coexistence and specialization, not replacement.

Meta's Free Transformer injects latent variables to enable LLMs to make global decisions before generating. Impressive results on reasoning and code, but open questions on scalability.

A critical analysis of AI benchmarks and what they truly measure: encyclopedic memory vs abstract intelligence.

Discover post-training, the secret art that transforms raw AI models into assistants with distinct personalities.

A reflection on vibe coding, between technological wonder and forgetting the foundations. Where does the developer stand in this new era?

Uncover how LLMs access web data: from training datasets to real-time search capabilities and their significant implications for SEO and content strategy.

Deep dive into Google's groundbreaking publication revealing the internal architecture of large language models and their transformative implications.

Dive into AI image generation and explore the fascinating challenges of algorithmic creativity. How AI transforms art and pushes creative boundaries today.

Why a reliable RAG looks more like a library (index, categories, navigation) than a top-k search engine, and which architectures (hierarchy, summaries, graphs, agents) enable that shift.

Systematic analysis of 100+ publications (2023-2025) on single and multi-agent AI systems. Identification of viable, fragile, and structurally impossible patterns. Technical reference document.

Top 5 most relevant AI papers from arXiv Week 51-2025 with analysis and insights.

Top 5 most relevant AI papers from arXiv Week 50-2025 with analysis and insights.