@TFGames · Post #2109 · 02/06/2024, 04:39 AM
#NES#TRACKER#VISION https://testflight.apple.com/join/Fb6LPVzi
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Source channel @githubtrending · Post #14993 · Jul 24
#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch
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@TFGames · Post #2109 · 02/06/2024, 04:39 AM
#NES#TRACKER#VISION https://testflight.apple.com/join/Fb6LPVzi
@githubtrending · Post #15454 · 01/31/2026, 03:30 PM
#javascript#atari_lynx#atari2600#atari7800#ds#emulation#emulator#emulatorjs#gameboy#n64#nes#nintendo#nintendo_game_boy#playstation#retroarch#retroarch_wasm#sega_cd#sega_mega_drive#sega_saturn#snes#virtualboy EmulatorJS is a free, open-source web-based emulator that lets you play classic games from Nintendo, Sega, Atari, and other systems directly in your browser without downloading software. It offers save states to resume games where you left off, customizable controls for keyboards and gamepads, and screen recording to share gameplay. The emulator runs entirely in your browser using JavaScript, supports multiple languages, and can be easily embedded into websites. You benefit from instant access to retro gaming across devices, no installation required, and the ability to build your own self-hosted gaming collection. https://github.com/EmulatorJS/EmulatorJS