Generative AI

Google DeepMind Releases Gemma 4 QAT Checkpoints: Q4_0 and Mobile Format Cut On-Device Memory

Google DeepMind Releases Gemma 4 QAT Checkpoints: Q4_0 and Mobile Format Cut On-Device Memory

Google DeepMind has released Quantization-Aware Training (QAT) test environments for the Gemma 4 family. The release targets local use on…
NVIDIA AI Releases Dynamo Snapshot: A CRIU-Based Fast Startup System for AI Inference on Kubernetes

NVIDIA AI Releases Dynamo Snapshot: A CRIU-Based Fast Startup System for AI Inference on Kubernetes

In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. Cold-starting inference workloads on Kubernetes can…
Building a Semantic Search Engine and Open State Classifier on ResearchMath-14k Dataset

Building a Semantic Search Engine and Open State Classifier on ResearchMath-14k Dataset

from sentence_transformers import util def search(query, k=5): q = model.encode([query], normalize_embeddings=True) sims = util.cos_sim(q, emb)[0].cpu().numpy() idx = sims.argsort()[::-1][:k] print(f'n=== Query:…
Miso Labs Releases MisoTTS: An 8B Dynamic Model for Open-Weighted Text-to-Speech

Miso Labs Releases MisoTTS: An 8B Dynamic Model for Open-Weighted Text-to-Speech

Miso Labs released MisoTTS, an open-source 8-billion-parameter text-to-speech model. Produces expressive speech in both text and audio contexts. The model…
Hlangana ne-OpenJarvis: Uhlaka Lwendawo Lokuqala Lwama-ejenti e-AI yomuntu siqu akudivayisi onamathuluzi, inkumbulo, nokufunda.

Hlangana ne-OpenJarvis: Uhlaka Lwendawo Lokuqala Lwama-ejenti e-AI yomuntu siqu akudivayisi onamathuluzi, inkumbulo, nokufunda.

Abacwaningi baseStanford University kanye naseLambda Labs, bashicilele iphepha lokucwaninga le-OpenJarvis, uhlaka lomthombo ovulekile olusebenzisa i-inference, ama-ejenti, inkumbulo, nokufunda ngokuphelele kudivayisi.…
How to Build a Document Intelligence Backend with iii Using Workers, Jobs, and Cron Triggers

How to Build a Document Intelligence Backend with iii Using Workers, Jobs, and Cron Triggers

def normalize(data): return {"text": (data.get("text") or "").strip().lower()} def tokenize(data): text = data.get("text", "") cleaned = "".join(c if (c.isalnum() or c.isspace())…
Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native Sound Using a 16 GB Laptop

Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native Sound Using a 16 GB Laptop

Google DeepMind recently released Gemma 4 12B, a dense multimodal model that completely strips traditional encoders. Vision and sound flow…
How to Fine-Tune LFM2 Using QLoRA and DPO: A Complete Step-by-Step Copy Tutorial on Google Colab

How to Fine-Tune LFM2 Using QLoRA and DPO: A Complete Step-by-Step Copy Tutorial on Google Colab

In this lesson, we are fine tuning Liquid AI's LFM2 model by using a complete open source workflow. We start…
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