
local-llm
A comprehensive guide for building and configuring a high-end local machine to run state-of-the-art LLMs, with detailed hardware choices, BIOS tuning, and Docker-based model serving.
It uniquely captures internal tab audio instead of microphone input, ensuring clear transcription even from noisy environments, and offers a dynamic AI summarizer supporting a wide range of providers including local Ollama.
Live Tab Transcriber is a powerful, privacy-focused Chrome Extension that captures audio directly from your active browser tab and converts it into accurate, real-time text. Unlike standard speech-to-text tools that rely on your microphone, this extension captures the tab's internal audio, ensuring crystal-clear transcription without background noise.
It also features a Dynamic AI Summarizer, allowing you to instantly generate concise summaries using OpenAI, Anthropic (Claude), Google (Gemini), Groq, or even your local Ollama instance.
.txt file.chrome.storage.local. No external databases.AudioWorklet and raw WAV encoding to prevent browser memory leaks and API format errors.Before using the extension, you will need:
An AI Powered Google Extention which scraps data from voice from the system and also summarise the content
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A comprehensive guide for building and configuring a high-end local machine to run state-of-the-art LLMs, with detailed hardware choices, BIOS tuning, and Docker-based model serving.
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
A 28.9 million parameter language model runs on an $8 ESP32-S3 microcontroller entirely on-device, generating simple stories at about 9.5 tokens per second.