import torch.nn as nn import torch.nn.functional as F from dataclasses import dataclass torch.manual_seed(0) @dataclass class Cfg: d_model: int = 192 n_head: int = 6 n_layer: int = 4 ffn_mult: int…
Today, we’re excited to announce a deep-link integration between Hugging Face and Amazon SageMaker AI. Developers can now go from model discovery to hands-on experimentation in SageMaker Studio with a…
GPUs are known as parallel processors because they can perform tasks simultaneously. Work is divided into smaller sub-tasks, which are executed at the same time by multiple processing units. Once…
You tell your AI “Polish my email and send it.” A chatbot hands you a paragraph on how that’s done. An agentic LLM opens your inbox and tries. Sometimes it…
# Introduction We gave the same three interview questions from StrataScratch to SQL, Pandas, and a Claude agent. Every piece of code executed against the same dataset, and every timing…
Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on…
In this article, you will learn how to decide whether a given piece of agent functionality should be built as a tool or as a subagent, and how to avoid…
Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Mark Zuckerberg's $100 million offers seemed impossible. So he spent…
III of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks: document parsing, question parsing, retrieval, and generation. It is the first of two parts…
Liquid AI has released Antidoom, an open-source method that targets a common failure mode in reasoning models. That failure mode is the doom loop. In a doom loop, a model…
