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Perplexity and NVIDIA Researchers Introduce JOLT: a Joint Teacher-Student Reinforcement Learning Method
Perplexity and NVIDIA introduced JOLT, a post-training method that trains one model as both teacher and student. On MATH it matched GRPO’s accuracy with 6.5x fewer processed training tokens.
A Coding Guide to Cactus Whistle: Does a 16.9 MB Speech Model Hold Up Against Whisper Base? Word Error Rate, Speed, Streaming, Timestamps, Keywords, and Speech-to-Tool Calls on a CPU
Explore a comprehensive coding guide benchmarking Cactus Compute's 16.9 MB speech model against Whisper base. Learn about word error rates, CPU speed, streaming latency, and speech-to-tool integration.
30 分钟 · MarkTechPost
NVIDIA Nsight Python Tutorial: How to Profile GPU Kernels
Discover NVIDIA Nsight Python, an open-source interface that allows developers to profile GPU kernels, analyze hardware metrics, evaluate cache and clock controls, and measure kernel fusion directly from Python code.
30 分钟 · MarkTechPostLATEST STORIES
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Uber brings ChatGPT Work to all employees with OpenAI精选导读
Uber is rolling out ChatGPT Work to more than 30,000 employees, helping teams research, analyze data, create presentations, and complete complex workflows.
Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params精选导读
Recursive has released Flint, an Apache 2.0 local coding model with 40B total and 2.5B active parameters. It reports 74.2% on SWE-bench Verified and 125+ tokens per second on an M4 Pro MacBook Pro.
Vercel Open-Sources durable-harness for Crash-Proof Coding Agents精选导读
Vercel released durable-harness, an open-source package that logs every model and tool call so Pi, OpenCode, Claude Code and Codex sessions resume after crashes, timeouts and redeploys on Vercel, Postgres or a laptop.
Broad access through consistent standards精选导读
How OpenAI works with distribution partners to uphold consistent safeguards, support responsible access, and clarify expectations in our Usage Policies.
NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required精选导读
NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required
Train in Simulation, Deploy on a Real Robot: Microduck with Isaac Lab 3.0精选导读
Train in Simulation, Deploy on a Real Robot: Microduck with Isaac Lab 3.0
How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications精选导读
How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
How AT&T is rethinking in-house legal work with OpenAI精选导读
AT&T is working with OpenAI to make legal knowledge easier to access. Learn how its LegalEdge team is rethinking intake and scaling legal judgment.
Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.精选导读
Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.