In this tutorial, we use GEPA as a reflective prompt-evolution framework to enhance the way in which a language mannequin solves arithmetic phrase issues. We start with a weak seed immediate, create a small deterministic benchmark, outline a structured evaluator, and move actionable suggestions to GEPA so it could possibly perceive why a candidate immediate…
NVIDIA’s Nemotron Speech workforce has launched Nemotron 3.5 ASR. It is a 600M-parameter streaming Automatic Speech Recognition (ASR) mannequin. A single checkpoint transcribes 40 language-locales in actual time. Punctuation and capitalization are constructed in natively. The mannequin ships as open weights on Hugging Face. The license is OpenMDW-1.1. The structure is a Cache-Aware QuickConformer-RNNT. What…
In this tutorial, we work by way of an end-to-end workflow for Qualcomm AI Hub Models. We begin by organising the required package deal, discovering the out there mannequin assortment, and loading MobileNet-V2 for native PyTorch inference. We additionally deal with an essential input-shape problem by changing NHWC picture tensors into the NCHW format anticipated…
In this tutorial, we work with the amphora/ResearchMath-14k dataset, a assortment of research-level arithmetic issues mined from arXiv. We load the dataset, examine its construction, and discover how the issues are distributed throughout mathematical fields and open-status classes. We then transfer past fundamental evaluation by extracting field-specific key phrases, producing semantic embeddings, visualizing the downside…
Amazon is providing its AI shopping expertise to different retailers via a brand new Agentic Shopping Assistant constructed on AWS, with Kate Spade among the many first manufacturers to use it. The service permits retailers to construct AI shopping assistants for their very own web sites and apps. Amazon mentioned every deployment may be customised…
Miso Labs has launched MisoTTS, an open-weights 8-billion-parameter text-to-speech mannequin. It generates expressive speech from each textual content and audio context. The mannequin makes use of residual vector quantization (RVQ) to widen its sonic vary. This avoids scaling a single flat vocabulary whereas holding parameter rely mounted. What is MisoTTS MisoTTS is an 8B-parameter text-to-dialogue…
In this tutorial, we fine-tune Liquid AI’s LFM2 mannequin via an entire open-source workflow. We begin by loading the bottom LFM2 checkpoint with QLoRA, getting ready a chat-style supervised fine-tuning dataset, coaching a light-weight LoRA adapter utilizing TRL and PEFT, and then merging the adapter again into the mannequin. We additionally lengthen the workflow with…
In this tutorial, we work by means of an implementation of NVIDIA Apex, specializing in the elements that also matter in fashionable GPU coaching workflows. Instead of treating Apex as a normal mixed-precision library, we separate the older elements from the still-useful ones and check them instantly. We start by checking the CUDA runtime, constructing…
In this tutorial, we implement a sensible use case with Loguru, a strong, versatile, and production-ready logging library for Python. We begin by constructing a clear, idempotent logging setup that may be safely rerun with out duplicating handlers or producing messy output. From there, we transfer step-by-step by means of structured logging, contextual logging, customized…
Text-to-speech TTS moved quick over the previous 12 months. The line between artificial and human speech narrowed. Latency dropped beneath 100 milliseconds for some real-time techniques. Emotional management grew to become a normal function somewhat than a analysis demo. This information critiques the fashions that basically matter in 2026. It is written for AI professionals…