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OmegaPoint

Re:1-Bit LLMs Could Solve AI's Energy Demands on Friday May 31, 2024 @06:13AM (#40533223)
> "Data" isn't an inexhaustible resource

Synthetic data are the answers. For example see Tiny Stories dataset (https://arxiv.org/abs/2305.07759).

> Now ask the best LLM trained on "all the data" to translate some fragment of some isolate language not in its training set and not very related to existing languages.

If you give them the dictionary and grammar book as in-context instructions, it can do pretty well.

“Gemini v1.5 learns to translate from English to Kalamang purely in context, following a full linguistic manual at inference time. Kalamang is a language spoken by fewer than 200 speakers in western New Guinea. Gemini has never seen this language during training and is only provided with 500 pages of linguistic documentation, a dictionary, and ~400 parallel sentences in context. It basically acquires a sophisticated new skill in the neural activations, instead of gradient finetuning.”

Re:Eight Things to Know About Large Language Models [pdf] on Tuesday April 04, 2023 @03:21AM (#35436244)
I asked my coworkers in the office but none was able to answer that. Not sure because they were are ESL (me included) or because they were GPT in disguise.
Re:ChatGPT – The Revolutionary Bullshit Parrot on Friday March 31, 2023 @03:59PM (#35392674)
You can know the GPT version of ChatGPT based on the OpenAI logo color: GPT-3.5 is green and GPT-4 is black.
> trigger warning

> The phrase can cause stress about what's to follow. Additionally, one can never know what may or may not trigger a particular person.

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