Claude Cheat Sheet: Features, Access, Pricing, Models
19 hours ago · Claude cheat sheet with Claude’s core capabilities, how it works, model lineup, availability, pricing, setup steps, and the main alternatives to watch.
19 hours ago · Claude cheat sheet with Claude’s core capabilities, how it works, model lineup, availability, pricing, setup steps, and the main alternatives to watch.
The objective of this work is to provide a mathematical analysis on how a Thoroughbred horse should regulate its speed over the course of a race to optimize performance. Because Thoroughbred horses are not capable of running the whole race at top spe...
Oberon has excellent nuking capabilities at lower levels, and awesome survivability (with or without Arcane Universal Fallout) at higher levels. Plus, he has absolutely GOATed fashion, in my opinion....
This tutorial on adaptation of LLMs is designed to address the growing demand for models that go beyond the static capabilities of generic LLMs by providing an overview of dynamic, domain-specific, and task-adaptive LLM adaptation techniques. While g...
prematurely ruling out complex animal capacities. According to philosopher Devin Sanchez Curry, an asymmetry exists between anthropomorphic bias and anthropectic
May 23, 2025 · Devin, launched by Cognition Labs, became the world’s first fully autonomous AI software engineer — capable not just of writing code, but of planning, debugging, running entire …
This research model uses an emancipatory approach to address challenges of equity in the science, technology, engineering, and math (STEM) workforce. Serious concerns about low minority participation call for a rigorous evaluation of new pedagogical...
Jul 14, 2025 · At Microsoft, we believe AI should work for you—not the other way around. That’s why we’re introducing memory in Copilot, a new capability that makes your...
Nov 18, 2025 · Today we’re introducing Project Opal in Microsoft 365 Copilot – a new AI-powered capability that executes task-based work inside a secure, observable...
Zero-shot referring expression comprehension aims at localizing bounding boxes in an image corresponding to provided textual prompts, which requires: (i) a fine-grained disentanglement of complex visual scene and textual context, and (ii) a capacity...
Electrolyte decomposition reactions on Li-ion battery electrodes contribute to the formation of solid electrolyte interphase (SEI) layers. These SEI layers are one of the known causes for the loss in battery voltage and capacity over repeated charge/...
Table understanding capability of Large Language Models (LLMs) has been extensively studied through the task of question-answering (QA) over tables. Typically, only a small part of the whole table is relevant to derive the answer for a given question...
Citrix Workspace app can be deployed on cloud and on-premises environments. The Workspace app builds on Citrix Receiver’s capabilities and delivers secure login, easy app and desktop …
Reinforcement learning has become one of the best approach to train a computer game emulator capable of human level performance. In a reinforcement learning approach, an optimal value function is learned across a set of actions, or decisions, that le...
Following the impressive capabilities of in-context learning with large transformers, In-Context Imitation Learning (ICIL) is a promising opportunity for robotics. We introduce Instant Policy, which learns new tasks instantly (without further trainin...
Physical-layer authentication is a popular alternative to the conventional key-based authentication for internet of things (IoT) devices due to their limited computational capacity and battery power. However, this approach has limitations due to poor...
1 day ago · Iran’s military capabilities were badly degraded by 12 days of Israeli and U.S. strikes last year. But analysts say it could still inflict pain on American forces and allies in response to another …
We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. HyperCLOVA X was trained on a balanced mix of Korean, English, and code...
Reinforcement fine-tuning (RFT) has shown great promise in achieving humanlevel reasoning capabilities of Large Language Models (LLMs), and has recently been extended to MLLMs. Nevertheless, reasoning about videos, which is a fundamental aspect of hu...
Multimodal information, together with our knowledge, help us to understand the complex and dynamic world. Large language models (LLM) and large multimodal models (LMM), however, still struggle to emulate this capability. In this paper, we present Wor...