A new CUDA benchmark compares three knowledge-distillation loss implementations—Full Dense KL, Forward-Chunked Loss, and Full Chunked KL—showing that the Full Chunked KL method fuses the output projec…
ONNX Runtime, an open-source inference engine, enables interoperability of machine learning models across frameworks and hardware platforms by leveraging the ONNX standard. It simplifies deployment by…
Gartner is hiring an Associate Data Scientist for its Insights & Product Analytics team in Gurgaon, India, to work on high-impact data science projects involving NLP, machine learning, deep learning, …
Meta introduced Muse Glimmer, an open-weight 30-billion-parameter model distilled from Muse Spark for on-device agentic workflows, with ExecuTorch adding end-to-end support for running it on NVIDIA GP…
A new paper from Hugging Face, 'Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss,' cuts the VRAM required for knowledge distillation from roughly 250GB to ne…
A developer's analysis of community reports on running MiniMax H3 locally reveals that GPU model alone is insufficient to predict performance, with VRAM requirements varying widely based on resolution…
A practical guide for aspiring AI safety research engineers advises focusing on specific issues, proactive networking, and a year-long upskilling process, with Python, PyTorch, and linear algebra as e…
An engineer details the GPU memory requirements for self-hosting large language models, explaining that the KV cache, not model weights, is the primary bottleneck under real traffic. The post provides…
IREE, an open-source compiler from the IREE project, now compiles machine learning models to native RISC-V CPU code with support for the RISC-V Vector extension (RVV), hand-written microkernels, and d…
A mechanistic interpretability study found that ablating specific MLP neurons in Google's Gemma 4 model causes it to revert to its dormant Bard identity, with the model answering 'My name is Bard' wit…
State Street is hiring a Data Scientist - Senior Manager for its AI/ML Science team in Hyderabad, India, to support the Agentic AI platform initiative. The role involves leading LLM research, fine-tun…
State Street is hiring a Data Scientist - Assistant Manager for its GenAI Center of Excellence in Hyderabad, India, targeting early-career professionals with 0–7 years of experience. The role involves…
Tinygrad, the 17,000-line Python deep learning framework behind comma.ai's openpilot self-driving system, represents all tensor operations as UOps (universal operations) and uses lazy evaluation, defe…
ROSA, a robotics foundation model serving system for robot factories, improves factory productivity by up to 12.06x over conventional dedicated serving systems, according to a paper proposing the syst…
AlphaPebble Labs engineers detailed a field guide for training AI models on RunPod's rented GPU infrastructure, highlighting edge cases such as the SSH gateway acting as a console rather than an exec …
An M.Tech thesis at IIT Bhilai implemented GPU acceleration for the MSCRED multivariate time-series anomaly detection model, achieving a 12.68× encoder speed-up by using CUDA and an im2col plus GEMM a…
A developer detailed the construction of a decentralized health platform that uses differential privacy and federated learning to protect user biometric data. The architecture leverages PySyft and Opa…
S&P Global is hiring a Lead Data Scientist for its Foreseer team in Gurugram, Haryana, to design AI/ML applications, leverage large language models and vision language models for information retrieval…
A new guide on measuring transformer inference performance details metrics such as latency, time to first token (TTFT), time per output token (TPOT), throughput, memory usage, utilization, and cost pe…
AI coding agents are eroding Nvidia's CUDA software moat by lowering the expertise barrier for GPU kernel development, according to a tech analysis. Tools like Anthropic's Claude Code can generate per…