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  2. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    They bought 6 more apples, so they have 3 + 6 = 9. The answer is 9." [ 11 ] When applied to PaLM , a 540 billion parameter language model , Google claims that CoT prompting significantly aided the model, allowing it to perform comparably with task-specific fine-tuned models on several tasks, achieving state-of-the-art results at the time on the ...

  3. Prompt injection - Wikipedia

    en.wikipedia.org/wiki/Prompt_injection

    Prompt injection is a family of related computer security exploits carried out by getting a machine learning model which was trained to follow human-given instructions (such as an LLM) to follow instructions provided by a malicious user. This stands in contrast to the intended operation of instruction-following systems, wherein the ML model is ...

  4. Help:Cheatsheet - Wikipedia

    en.wikipedia.org/wiki/Help:Cheatsheet

    sources in the article will appear where {{reflist}} is put, typically under a level 2 section heading (see below) towards the bottom of the page; text between {{}} is for a template.

  5. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    For example, training of the GPT-2 (i.e. a 1.5-billion-parameters model) in 2019 cost $50,000, while training of the PaLM (i.e. a 540-billion-parameters model) in 2022 cost $8 million, and Megatron-Turing NLG 530B (in 2021) cost around $11 million. [56] For Transformer-based LLM, training cost is much higher than inference cost.

  6. Vicuna LLM - Wikipedia

    en.wikipedia.org/wiki/Vicuna_LLM

    The user also has the option of choosing which LLMs to do battle.) Based on Llama 2, [3] [4] it is an open source project, [5] [6] and it itself has become the subject of academic research in the burgeoning field. [7] [8] A non-commercial, public demo of the Vicuna-13b model is available to access using LMSYS. [9]

  7. BLOOM (language model) - Wikipedia

    en.wikipedia.org/wiki/BLOOM_(language_model)

    BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [ 3 ]

  8. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Estimated 2.1 × 10 25 FLOP. [ 42 ] Other such models include Google 's PaLM , a broad foundation model that has been compared to GPT-3 and have been made available to developers via an API , [ 45 ] [ 46 ] and Together's GPT-JT , which has been reported as the closest-performing open-source alternative to GPT-3 (and is derived from earlier open ...

  9. Cheat sheet - Wikipedia

    en.wikipedia.org/wiki/Cheat_sheet

    A cheat sheet (also cheatsheet) or crib sheet is a concise set of notes used for quick reference. Cheat sheets were historically used by students without an instructor or teacher's knowledge to cheat on a test or exam. [1] In the context of higher education or vocational training, where rote memorization is not as important, students may be ...