“ELYZA-LLM-Diffusion is a Japanese-focused diffusion language model.”

“Users authenticate with their Claude accounts and interact with their own instance of the Artifact.”

“US government and northeastern states are requesting that major tech companies shoulder the rising electricity costs.”

“AI won’t replace drug scientists— it supercharges them: faster discovery + cheaper testing.”

“The new model supports a 're-thinking' mode, which can simultaneously launch 8 'brains' to execute tasks, ensuring comprehensive thinking and reliable decision-making.”

“OpenAI says it issued a request for proposals to US-based hardware manufacturers as it seeks to push into consumer devices, robotics, and cloud data centers”

“Context Caching can slash input costs by up to 90%!”

“DeepSeek’s new Engram module targets exactly this gap by adding a conditional memory axis that works alongside MoE rather than replacing it.”

“という事で、現環境でどうにかこうにかローカルでLLMを稼働できないか試行錯誤し、Windowsで実践してみました。”

“Further analysis needed, but the title suggests focus on LLM fine-tuning on DGX Spark.”

“Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh parts of the NLP toolkit.”

“The article's core is about monitoring token consumption in real-time.”

“"最高性能モデルを使いたい。でも、全てのリクエストに使うと月額コストが数十万円に..."”

“”

“”

“"So first off - there is not going to be any GenAI art in Divinity,"”

“You've hit your limit ・ resets xxx (Asia/Tokyo)”

“This paper introduces an Information-Obfuscation Reversible Adversarial Example (IO-RAE) framework, the pioneering method designed to safeguard audio privacy using reversible adversarial examples.”

“先代Blackwell比で推論コストを10分の1に低減する”

“適切に設定しないとMCPを1個追加するたびに、チーム全員のリクエストコストが上がり、ツール定義の読み込みだけで数万トークンに達することも。”

“Prompt caching is an optimization […]”

“Since the quality of data-driven ROMs is sensitive to the quality of the limited training data, we seek to identify training parameters for which using the associated training data results in the best possible parametric ROM.”

“Click to view original article>”

“今回はChat GPT APIを初期費用$5で使用する方法をご紹介します。”

“I am using hyperstack right now and it's much more convenient than Runpod or other GPU providers but the downside is that the data storage costs so much. I am thinking of using Cloudfare/Wasabi/AWS S3 instead. Does anyone have tips on minimizing the cost for building my own Gemini with GPU providers?”

“Our framework allows any tomographic data - including archival datasets -- to be reinterpreted in terms of fundamental nonlocality tests.”

“The article quotes a command line example: `embedding-adapters embed --source sentence-transformers/all-MiniLM-L6-v2 --target openai/text-embedding-3-small --flavor large --text "where are restaurants with a hamburger near me"`”

“Even the top-performing OpenAI-GPT-5.1 achieves only 62.07% accuracy, and model performance displays a clear gradient distribution.”

“The paper highlights a trade-off between computation time, circuit size, and energy input in Brownian circuits, and demonstrates that phase transitions in time complexity provide a natural framework for characterizing the cost of fluctuation-driven computation.”

“RLMs successfully handle inputs up to two orders of magnitude beyond model context windows and, even for shorter prompts, dramatically outperform the quality of base LLMs and common long-context scaffolds.”

“CREST improves accuracy by up to 17.5% while reducing token usage by 37.6%, offering a simple and effective pathway to faster, more reliable LLM reasoning.”

“RedunCut reduces compute cost by 14-62% at fixed accuracy and remains robust to limited historical data and to drift.”

“TRL achieves excellent calibration, matching or exceeding the reliability of Deep Ensembles (in terms of ECE) while requiring only a fraction (1/5) of the training cost.”

“The paper proposes a gradient-based algorithm with lower per-iteration cost than existing methods and adapts it to exploit the piecewise-linear structure of ReLU networks.”

“The distance-aware approach achieves higher accuracy on coarse grids (max. 60%p accuracy gain) with only a moderate verification overhead (approximately 1.4x), making zone encoding the key lever for efficient zero-knowledge spatial checks.”

“LLMRouter is an open source routing library from the U Lab at the University of Illinois Urbana Champaign that treats model selection as a first class system problem. It sits between applications and a pool of LLMs and chooses a model for each query based on task complexity, quality targets, and cost, all exposed through […]”

“The hybrid CNN-LSTM achieves the highest accuracy and stability while maintaining low computational cost across the investigated DM range.”

“SPM layers implement a global linear transformation in $O(nL)$ time with $O(nL)$ parameters, where $L$ is typically constant or $log_2n$.”

“The post shows you how to migrate your self-managed MLflow tracking server to a MLflow App – a serverless tracking server on SageMaker AI that automatically scales resources based on demand while removing server patching and storage management tasks at no cost.”

“The ERC loss enforces two constraints: (1) Each expert must exhibit higher activation for its own proxy token than for the proxy tokens of any other expert. (2) Each proxy token must elicit stronger activation from its corresponding expert than from any other expert.”

“The paper provides an elicitation method using only observable menu-choice data of the principal, which shows how to construct the principal's subjective costs of acquiring information even when he anticipates managing the agent's bias.”

“FedOLF achieves at least 0.3%, 6.4%, 5.81%, 4.4%, 6.27% and 1.29% higher accuracy than existing works respectively on EMNIST (with CNN), CIFAR-10 (with AlexNet), CIFAR-100 (with ResNet20 and ResNet44), and CINIC-10 (with ResNet20 and ResNet44), along with higher energy efficiency and lower memory footprint.”

“Model belief explains and predicts ground-truth model choice better than model choice itself, and reduces the computation needed to reach sufficiently accurate estimates by roughly a factor of 20.”

“The proposed architecture reduces the number of parameters by up to 19%, training time by 9.9%, and inference time by 8.0%, while maintaining comparable performance to the baseline model.”

“NODE jointly trains a neural reconstruction model and a fixed-budget set of continuous design variables... within a single optimization loop.”

“Now, it's great, but this relatively simple task took 17% of my 5h quota. Is Pro really this limited? I don't want to pay 100+€ for it.”

“The paper utilizes a sampling-free intrusive stochastic Galerkin approach and domain decomposition (DD)-based solvers.”

“The paper introduces new surrogate losses and proves strong non-asymptotic, hypothesis set-specific consistency guarantees, resolving existing open questions.”

“The article doesn't contain a direct quote, but the core idea is that "vLLM" and "PagedAttention" are optimizing the software architecture to overcome the physical limitations of VRAM.”

“The goal is to make it easier than copy-pasting from setup instructions and not require the management cost of setup scripts.”