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#gpt

8 posts7 participants0 posts today
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:rss: 窓の杜

URL共有に革命？「ChatGPT」× Chrome拡張「cocopy」は実用性・楽しさ無限大／「ココピーからChatGPTを呼んで文章生成させる」テクニック【レビュー】
forest.watch.impress.co.jp/doc

窓の杜 · URL共有に革命？「ChatGPT」× Chrome拡張「cocopy」は実用性・楽しさ無限大　「知恵の杜」では、役立つ実践的な技法の共有を目的に、技術ブログで見つけた「なるほど！」なテクニックをご紹介します。掲載にあたっては、公開前に著者様の許可を得た上で、編集部による補足・注釈を加え、より理解しやすい形でお届けします。
#forest_watch_impress#Google_Chrome#OpenAI
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Glyn Moody

An Acclaimed Book About Digital Manipulation Was Actually Written by #AI - wired.com/story/an-acclaimed-b "I didn’t ask the machine to write for me, but instead it generated ideas and then I used #GPT and #Claude to critique them, to give me perspectives on what I had written. Everything written in the book is mine."

WIRED · An Acclaimed Book About Digital Manipulation Was Actually Written by AIBy Anna Lagos
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ytm

I have released LLama2.c64 - an LLM running on a C64 with 2MB REU. It runs the Llama2 LLM architecture, using the tokenizer and weights from the Tinystories 260K model.

It's a storytelling model that tries its best to spin your prompt into a story, as if told by a kindergarten child. It will generate one output token about every 8 minutes.

github.com/ytmytm/llama2.c64

Prompt: There was a Output: There was a big car who lived in a big tree. The car was being a little girl named Lily. She had a car with a big ball and she wanted to play with it. She went to the park
Model information screen and parameters for transformer inference: temperature, top-p, output tokens. The estimated time to generate 60 tokens is about 8h
#c64#ai#gpt
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