After NARRATOR creates a plain-language explanation, the second component, GRADER, uses an LLM to rate the narrative on four metrics: conciseness, accuracy, completeness, and fluency.

After NARRATOR creates a plain-language explanation, the second component, GRADER, uses an LLM to rate the narrative on four metrics: conciseness, accuracy, completeness, and fluency.

Now Nvidia has launched its own local LLM application—utilizing the power of its RTX 30 and RTX 40 series graphics cards—called Chat with RTX.

Bandwidth, Compute, Synchronization, and Capacity are all you need” was published by NVIDIA. Abstract “This paper presents a ...

Dell Technologies' new AI Factory with NVIDIA sees the GB200 NVL72 AI server cabinet with 30x faster real-time LLM performance, lighting-fast connectivity with 72 x B200 AI GPUs connected and ...