Generative AI

Most of the search agents are trained as policies over the growing text. The model determines the search method. It…

print("n########## 5. ANALYSIS ##########") import numpy as np, pandas as pd def find_latest_report(): cands = [] for base in [os.path.expanduser("~/.local/share/garak/garak_runs"),…

This week, the Google AI team released a Exchange CLI shares. The tool connects your local terminal to the remote…

Moonshot AI has released the Kimi Code CLI, an open source terminal-based agent. The tool reads and edits code, executes…

Ithimba le-NVIDIA le-Nemotron Speech likhiphe i-Nemotron 3.5 ASR. Kuyimodeli yepharamitha engu-600M esakaza i-Automatic Speech Recognition (ASR). Indawo yokuhlola eyodwa ibhala…

In this tutorial, we work from end to end workflow of Qualcomm AI Hub models. We start by setting up…

Google DeepMind has released Quantization-Aware Training (QAT) test environments for the Gemma 4 family. The release targets local use on…

In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. Cold-starting inference workloads on Kubernetes can…

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 released MisoTTS, an open-source 8-billion-parameter text-to-speech model. Produces expressive speech in both text and audio contexts. The model…