Deep Dives

a decade working in analytics, I firmly imagine that observability and evaluation are essential for any LLM application running in production. Monitoring and metrics aren’t just nice-to-haves. They ensure your product is functioning...

That is the primary in a two-part series on distributed computing using Ray. This part shows the way to use Ray in your local PC, and part 2 shows the way to scale Ray...

a , a deep learning model is executed on a dedicated GPU accelerator using input data batches it receives from a CPU host. Ideally, the GPU — the dearer resource — needs to...

that frustrating hovering drone from ? The one which learned to descend toward the platform, go through it, after which just… hang around below it eternally? Yeah, me too. I spent a whole afternoon...

! In case you’ve been following along, we’ve come a good distance. In Part 1, we did the “dirty work” of cleansing and prepping. In Part 2, we zoomed out to a high-altitude view of...

had launched its own LLM agent framework, the NeMo Agent Toolkit (or NAT), I got really excited. We normally consider Nvidia as the corporate powering your entire LLM hype with its GPUs, so...

within the , a series of each day programming challenges released throughout December, for the primary time. The each day challenges normally contain two puzzles constructing on an identical problem. Although these challenges...

TLDR in healthcare often output binary decisions comparable to disease or no disease, which by themselves cannot produce a meaningful AUC. AUC remains to be the usual technique to compare risk and detection models in...