7+ hour, 14+ min ago  (852+ words) A technical overview and some benchmarks The release of Python 3. 14 marks an important point in the evolution of the world's most popular programming language. While Python has long been acknowledged for its readability and large ecosystem, its execution speed has…...

8+ hour, 44+ min ago  (1127+ words) Why custom inference in Deep Stream? However the common case has limits. Vision-language models, custom post-processing, rotated bounding boxes, or the need to hot-swap models at runtime, these are places where nvinfer's assumptions break down. Sometimes you have a mature…...

10+ hour, 14+ min ago  (1245+ words) What I thought was a scheduling problem turned out to be a portability problem first In my last article, I mentioned that scheduling is the next wall I'll be walking toward. So I guess, here I am, walking towards it…...

13+ hour, 14+ min ago  (1883+ words) How replacing the Python round-trip tax with a custom GPU memory architecture unlocks deterministic microsecond tail latencies for multi-hop RAG. A highly empirical, 343-line tour of CUDA Top-K retrieval. This kernel, CPU oracle, and benchmark suite prove that the standard…...

1+ day, 5+ hour ago  (1295+ words) Learn about the upsides and downsides of Claude Fable 5 Last week, Anthropic launched its latest model, Claude Fable 5, which was a safeguarded version of the Claude Mythos model. I tried the model extensively day and night since its release, and…...

1+ day, 7+ hour ago  (664+ words) Getting reliable, readable responses out of your LLM, and knowing which tool to reach for In my latest posts, we've talked a lot about popular techniques for optimizing the performance and cost of AI applications, like response streaming or prompt…...

1+ day, 10+ hour ago  (429+ words) An introduction to the Mosaic Q model and to the tools you can use for its quantification and visualization. In the next images we see an overview of the analysis. Here is how the mosaic, its quantification via Q, and…...

2+ day, 11+ hour ago  (1776+ words) Most LLM applications need a clear workflow, not an autonomous agent. Here's how to build one in plain Python. You want to build an LLM application. Ok, the first thought that comes to your mind is: let's build a powerful…...

2+ day, 13+ hour ago  (1670+ words) Enterprise Document Intelligence [Vol. 1 #6b] " The five field families the parser reads straight from the user's question, with the code that fills each one A question is more than its words. It also tells you what shape the answer should take,…...

3+ day, 8+ hour ago  (324+ words) Budgets for AI tokens can't be infinite, no matter how much hyperscalers wish they were In'my April column, I talked about how the opaqueness of the true cost of AI is a potentially fatal flaw for the profitable commercialization of…...