Master the New Physics of AI with Context Graphs & GraphRAG
Stop trying to find the "magic words" to hack your LLM. The era of the Prompt Engineer—tweaking adjectives and hoping for the best—is officially over. We are entering the age of the Context Engineer, ...
1 Helmi 17min
Context Graph
Stop feeding your AI static facts in a dynamic world.Most RAG systems and Knowledge Graphs rely on a fundamental unit called the "Triple" (Subject, Verb, Object). It’s efficient, but it’s brittle. It ...
25 Tammi 19min
Nested Learning: The Illusion of Deep Learning Architectures
Why do today's most powerful Large Language Models feel... frozen in time? Despite their vast knowledge, they suffer from a fundamental flaw: a form of digital amnesia that prevents them from truly le...
14 Marras 202513min
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
What if you could build AI agents that get smarter with every task, learning from successes and failures in real-time—without the astronomical cost and complexity of constant fine-tuning? This isn't a...
1 Marras 202518min
MemGPT: Towards LLMs as Operating Systems
Have you ever felt the frustration of an LLM losing the plot mid-conversation, its brilliant insights vanishing like a dream? This "goldfish memory"—the limited context window—is the Achilles' heel of...
1 Marras 202518min
DeepSeek-OCR: Contexts Optical Compression
The single biggest bottleneck for Large Language Models isn't intelligence—it's cost. The quadratic scaling of self-attention makes processing truly long documents prohibitively expensive, a fundament...
24 Loka 202513min
A Definition of AGI
For decades, Artificial General Intelligence has been a moving target, a nebulous concept that shifts every time a new AI masters a complex task. This ambiguity fuels unproductive debates and obscures...
23 Loka 202519min
