Browsing: Parallel

Interfaze, a young YC’s startup, has open-sourced a new speech recognition model. It is called diffusion-gemma-asr-small. The model transcribes audio through a diffusion decoder, not an…

agents using three different LLMs. You have one ancient GPU and you are too poor to upgrade. You need to run these agents in parallel, but…

Autoregressive large language models generate text one token at a time. Each token waits for the one before it. This serial loop leaves modern GPUs underused…

brick of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks: parsing, question parsing, retrieval, and generation. It is the second…

coding agents sequentially and not in multiple runs in parallel, you’re losing out. One of the key benefits of coding agents is that you can start…

Meta Superintelligence Labs recently made a significant move by unveiling ‘Muse Spark’ — the first model in the Muse family. Muse Spark is a natively multimodal…

import subprocess, sys subprocess.check_call( [sys.executable, “-m”, “pip”, “install”, “-qU”, “google-genai”], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, ) import getpass, json, textwrap, os, time from google import genai from google.genai import…

General knowledge highlights how multitasking should be avoided as much as possible because it removes you from focus. However, with the rise of coding agents, parallel…

print(“5) Concurrency progress: thread_map / process_map”) def cpuish(n: int) -> int: x = 0 for i in range(50_000): x = (x + (n * i)) %…

, coding agents have become more and more prevalent. Initially, coding agents could only auto-complete specific lines of code. We then experienced how agents could interact…