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Mark Tech Post
marktechpost. com > 05/18/2026 > nvidia-introduces-a-4-bit-pretraining-methodology-using-nvfp4-validated-on-a-12b-hybrid-mamba-transformer-at-10t-token-horizon

NVIDIA Introduces a 4-Bit Pretraining Methodology Using NVFP4, Validated on a 12 B Hybrid Mamba-Transformer at 10 T Token Horizon

3+ hour, 53+ min ago  (627+ words) On NVIDIA Blackwell, FP4 GEMMs run at 4" BF16 throughput on GB200 and 6" on GB300, which translates to roughly 2" and 3" speedups over FP8. Operand memory footprint is approximately halved compared to FP8. Quantizing every linear-layer GEMM to NVFP4 with default settings (1"16 block scaling everywhere, round-to-nearest-even on every tensor,…...

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Mark Tech Post
marktechpost. com > 05/17/2026 > a-coding-implementation-to-compress-and-benchmark-instruction-tuned-llms-with-fp8-gptq-and-smoothquant-quantization-using-llmcompressor

A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and Smooth Quant Quantization using llmcompressor

18+ hour, 17+ min ago  (655+ words) In this tutorial, we explore how to apply post-training quantization to an instruction-tuned language model using llmcompressor. We start with an FP16 baseline and then compare multiple compression strategies, including FP8 dynamic quantization, GPTQ W4 A16, and Smooth Quant with GPTQ W8 A8. Along the way,…...

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Mark Tech Post
marktechpost. com > 05/17/2026 > a-coding-guide-implementing-shap-explainability-workflows-with-explainer-comparisons-maskers-interactions-drift-and-black-box-models

A Coding Guide Implementing SHAP Explainability Workflows with Explainer Comparisons, Maskers, Interactions, Drift, and Black-Box Models

1+ day, 5+ hour ago  (643+ words) In this tutorial, we implement SHAP workflows as a practical framework for interpreting machine learning models beyond basic feature-importance plots. We start by training tree-based models and then compare different SHAP explainers, including Tree, Exact, Permutation, and Kernel methods, to…...

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Mark Tech Post
marktechpost. com > 05/17/2026 > vercel-labs-introduces-zero-a-systems-programming-language-designed-so-ai-agents-can-read-repair-and-ship-native-programs

Vercel Labs Introduces Zero, a Systems Programming Language Designed So AI Agents Can Read, Repair, and Ship Native Programs

1+ day, 4+ hour ago  (334+ words) Zero is a systems programming language that sits in the same design space as C or Rust. It compiles to native executables, gives you explicit memory control, and targets low-level environments. What separates Zero from existing systems languages is that…...

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Mark Tech Post
marktechpost. com > 05/16/2026 > nous-research-proposes-lighthouse-attention-a-training-only-selection-based-hierarchical-attention-that-delivers-1-4-1-7x-pretraining-speedup-at-long-context

Nous Research Proposes Lighthouse Attention: A Training-Only Selection-Based Hierarchical Attention That Delivers 1. 41. 7" Pretraining Speedup at Long Context

1+ day, 14+ hour ago  (1602+ words) Lighthouse takes a different approach on both design decisions. It pools queries, keys, and values symmetrically across a multi-level pyramid, and it places selection entirely outside the attention kernel. After selection, the system gathers the chosen entries into a contiguous,…...

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Mark Tech Post
marktechpost. com > 05/16/2026 > meet-litellm-agent-platform-a-kubernetes-based-self-hosted-infrastructure-layer-for-isolated-agent-sandboxes-and-persistent-session-management-in-production

Meet Lite LLM Agent Platform: A Kubernetes-Based, Self-Hosted Infrastructure Layer for Isolated Agent Sandboxes and Persistent Session Management in Production

1+ day, 18+ hour ago  (242+ words) The platform manages two things: per-team and per-context sandboxes, and session continuity across pod restarts and upgrades. These two capabilities are the core infrastructure primitives the platform provides. The platform is a standalone Next. js dashboard for Lite LLM v2 managed…...

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Mark Tech Post
marktechpost. com > 05/16/2026 > nvidia-introduces-sana-wm-a-2-6b-parameter-open-source-world-model-that-generates-minute-scale-720p-video-on-a-single-gpu

NVIDIA Introduces SANA-WM: A 2. 6 B-Parameter Open-Source World Model That Generates Minute-Scale 720p Video on a Single GPU

2+ day, 4+ hour ago  (921+ words) The final backbone interleaves 15 frame-wise GDN blocks with 5 softmax attention blocks (at layers 3, 7, 11, 15, and 19) across 20 total transformer blocks. The softmax blocks provide exact long-range recall where GDN's recurrence alone is insufficient. Camera-controlled world modeling requires the model to faithfully follow…...

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Mark Tech Post
marktechpost. com > 05/15/2026 > how-to-build-repository-level-code-intelligence-with-repowise-using-graph-analysis-dead-code-detection-decisions-and-ai-context

How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context

2+ day, 5+ hour ago  (566+ words) In this tutorial, we explore how to use Repowise to build repository-level intelligence for the itsdangerous Python project in a practical and reproducible way. We start with an already cloned repository, configure Repowise using the available LLM credentials, and initialize…...

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Mark Tech Post
marktechpost. com > 05/15/2026 > how-to-build-an-mcp-style-routed-ai-agent-system-with-dynamic-tool-exposure-planning-execution-and-context-injection

How to Build an MCP Style Routed AI Agent System with Dynamic Tool Exposure Planning, Execution, and Context Injection

2+ day, 15+ hour ago  (697+ words) In this tutorial, we build a fully functional MCP-style routed agent system from scratch, combining tool discovery, intelligent routing, structured planning, and execution into a single cohesive workflow. We start by setting up a modular tool server that exposes capabilities…...

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Mark Tech Post
marktechpost. com > 05/15/2026 > zyphra-releases-zaya1-8b-diffusion-preview-the-first-moe-diffusion-model-converted-from-an-autoregressive-llm-with-up-to-7-7x-speedup

Zyphra Releases ZAYA1-8 B-Diffusion-Preview: The First Mo E Diffusion Model Converted From an Autoregressive LLM With Up to 7. 7x Speedup

2+ day, 16+ hour ago  (291+ words) This creates a bottleneck. When the GPU spends more time moving data from memory than performing actual computation, the system becomes memory-bandwidth bound rather than compute-bound. This limits how efficiently modern GPU hardware " which has been scaling compute FLOPs faster…...

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