AssemblyAI details Voice Standard Bench picks for transcript correction
AssemblyAI says Voice Standard Bench ranks LLMs for transcript correction across four lengths, balancing faithfulness, readability, speed and cost.
AssemblyAI benchmark ranks Gemini 4 Argon first for dictation cleanup
AssemblyAI’s Oct. 28 bench says Gemini 4 Argon led dictation cleanup, with speed and cost trade-offs varying by length.
Best LLM for transcript summaries depends on call length
AssemblyAI says transcript summarization quality varies by voicemail, short calls, support calls and meetings, with cost and latency trade-offs.
Evaluating LLMs for Production: Lessons from GitHub's Secret Scanning
GitHub shares best practices for evaluating LLMs before production, focusing on precision, recall, and real-world workflows to improve security tools.
NVIDIA Dynamo's Shadow Engine Slashes LLM Recovery to 7 Seconds
NVIDIA's Shadow Engine Recovery in Dynamo cuts LLM downtime from minutes to 7 seconds, transforming AI infrastructure resilience.
NVIDIA NeMo Switchyard Enables Smarter AI Model Routing
NVIDIA NeMo Switchyard optimizes AI workflows by intelligently routing tasks across models, balancing cost, latency, and accuracy.
AMD Silo AI Expands Poro 2 Models with Enhanced Context and Math Capabilities
AMD Silo AI releases Poro 2 8B Long with a 16x larger context window and Poro 2 8B Math Reasoning for multilingual AI development.
Together AI Unveils Advanced Autoscaling for LLM Inference
Together AI introduces autoscaling features tailored for large language models, optimizing GPU use and managing latency during traffic spikes.
NVIDIA Optimizes JAX LLM Training with Host Offloading
NVIDIA's host offloading for JAX LLM training boosts GPU memory efficiency, enabling larger batch sizes and faster throughput.
NVIDIA Pushes Hardware-Aware LLM Co-Design for AI Efficiency
NVIDIA highlights hardware-friendly AI model design to optimize LLM performance. Learn how co-design boosts throughput, latency, and cost-efficiency.