#llm

How much SSD does local AI actually need, and when does NVMe speed matter more than raw capacity? The answer changes fast once LLMs, ComfyUI, datasets and giant model files pile up. Read the full article

Qwen released their 3.8 version of their most popular 27B model. This model is extremely popular because it can be run on consumer hardware and it is a dense model, so all 27 billion parameters activate

The world is drastically moving towards AI. There are so many things happening in the AI world and it is every becoming very hard to keep a track of everything. But I would say that for someone who aspires

Meta Muse Glimmer puts a provocative question in front of local AI users: what does “one GPU” actually buy you? The answer comes with a catch. Read the full article on Popular AI

Por qué los LLM fallan y cómo usarlo mejor | Why LLMs fail and how to use them better

Your AI chatbot doesn't just answer questions. Training bias, alignment, refusal filters, and platform rules shape what reaches your screen. How much of the answer is really the model? Read the full article

Four triple-slot RTX 3090s don’t fit where most build guides say they do. Here’s the hardware layout that actually works, plus the power and cooling traps to avoid. Read the full article on Popular AI

Cómo funcionan tokens y contexto en LLM | How tokens and context shape LLM outputs

⏱️ Tempo de leitura: ~4 minutos Existe um fenômeno recorrente no debate público sobre Inteligência Artificial: quando um modelo produz um resultado inadequado, a primeira reação costuma ser atribuir-lhe

⏱️ Tiempo de lectura: ~4 minutos Existe un fenómeno recurrente en el debate público sobre Inteligencia Artificial: cuando un modelo produce un resultado inadecuado, la primera reacción suele ser atribuirle

⏱️ Reading time: ~4 minutes There is a recurring phenomenon in the public debate about Artificial Intelligence: when a model produces an inappropriate result, the first reaction is usually to attribute

Can you reliably run Small Language Models (SLMs) locally on a standard CPU without a dedicated graphics card? If you're looking for an efficient local model to handle specific tasks like post title

Cómo un LLM convierte texto en respuestas | How LLMs transform text into responses

早上一打开Claude，就发现弹窗提示说Opus5来了，如下图， 关于Opus5最近要推出的消息，已经传了好几天了。月初的时候，Claude推出了Fable5，临时被叫停下线后，后来重新上线，但修改了规则，说说Fable5最大只能用套餐50%，而且是在7月14号之前，传闻据说之后就开始独立计费了。 但是，AI这个市场又不是只有Claude一家独大，时不时总有出现"搅局者"。先是OpenAI

⏱️ Reading time: ~5 minutes Introduction On June 22, 2026, the Japanese startup Sakana AI announced Fugu, a new artificial intelligence model that promises to rival the most advanced systems on the market.

Aprende la base de la ingeniería de prompts | Learn the foundations of prompt engineering

There's a video somewhere out there, or at least archived somewhere inside my head, of a man teaching people how to squeeze every last bit out of a toothpaste tube. These days, that man is my spirit animal.

Your RTX 3090 can run better local models than a painfully compressed 70B. We ranked the best 24GB LLMs for coding, chat, agents, and reasoning, with one clear winner. #AI

In the previous chapter, the dangerous brother came out first — tied up, but out. Now the paradox completes itself with the other side: Fable 5, the brother built to be safe, to go into everyone's hands,

96GB of VRAM sounds like the local AI dream. At $13K, the real question is whether it saves your workflow or just delays a better decision. #AI