GPUs, training clusters, MLOps, and deployment
Policy: - budget = 1000 - each `provision_gpu(a100)` call = 500 Result: - call 1 -> ALLOW - call 2 -> ALLOW - call 3 -> DENY (`B...
We're releasing a paper on a new framework for reading and interpreting the internal cognitive states of large language models: "The Lyra...
Hi all, I made a small tool that I've been using for my own literature reviews and figured I'd share in case it's useful to anyone else. ...
Code Metal, a Boston startup, has raised $125 million to enhance AI-driven code translation and verification for the defense industry, ad...
Wizwand, an alternative to PaperWithCode, has launched its second version, addressing dataset inconsistencies and improving leaderboard a...
A hacker exploited a vulnerability in Cline's AI workflow, leading to the installation of OpenClaw, highlighting significant security ris...
A recruiter reveals that 'Data Scientist' is the lowest-paying title in machine learning across Europe, based on an analysis of over 350,...
This article discusses how to train AI models using Unsloth and Hugging Face Jobs, highlighting the benefits of faster training and lower...
This article explores efficient implementations of scan/prefix-sum algorithms on GPUs, comparing hierarchical and single-pass methods, an...
OpenAI is reportedly close to finalizing a $100 billion deal, valuing the company at over $850 billion, with major investments from Amazo...
The article discusses the development of two open neuromorphic processors, Catalyst N1 and N2, which achieve feature parity with Intel's ...
The SoftDTW-CUDA for PyTorch package offers a fast and memory-efficient implementation of Soft Dynamic Time Warping, optimized for GPU us...
Mirai, founded by the creators of Reface and Prisma, raises $10 million to enhance on-device AI model inference for smartphones and lapto...
Freeform has raised $67 million in Series B funding to enhance its AI-driven metal 3D printing technology, aiming to scale production and...
The article discusses the challenges and methods of fine-tuning sentence embeddings from transformer models, particularly focusing on agg...
Reliance Industries announces a $110 billion investment plan to build AI infrastructure in India, including data centers and an edge comp...
MAHE partners with OpenAI to enhance teaching, research, and administration through AI integration, aiming to improve learning outcomes a...
A Reddit user shares their first implementation of a Transformer architecture using PyTorch, detailing the structure and parameters used,...
Anthropic has banned the use of OAuth tokens from consumer plans in third-party tools, impacting Claude Max/Pro users and requiring API k...
![[2602.05298] Logarithmic-time Schedules for Scaling Language Models with Momentum](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This article presents a novel optimizer, ADANA, which utilizes logarithmic-time scheduling for hyperparameters in large-scale language mo...
The paper introduces KANELÉ, a framework utilizing Kolmogorov-Arnold Networks for efficient FPGA-based neural network evaluation, achievi...
The paper introduces Randomized Masked Finetuning (RMFT), a technique designed to reduce the memorization of personally identifiable info...
This article presents a novel simulation-based inference pipeline utilizing deep learning to analyze weak lensing and galaxy clustering m...
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime