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  2. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    CoT examples can be generated by LLM themselves. In "auto-CoT", [61] a library of questions are converted to vectors by a model such as BERT. The question vectors are clustered. Questions nearest to the centroids of each cluster are selected. An LLM does zero-shot CoT on each question. The resulting CoT examples are added to the dataset.

  3. 10 Critical Steps to Writing ChatGPT Prompts for Beginners - AOL

    www.aol.com/10-critical-steps-writing-chatgpt...

    9. Build a custom GPT. If you have a paid ChatGPT plan, you can build custom GPTs that carry out specific actions. For example, if you regularly need to turn a topic into social media captions ...

  4. Wikipedia : Wikipedia Signpost/2024-08-14/Recent research

    en.wikipedia.org/wiki/Wikipedia:Wikipedia...

    The sections are then concatenated into a single document, which is passed once more to the LLM with a prompt asking it to remove duplications between the sections. Finally, the LLM is called one last time to generate a summary for the lead section. All this internal chattiness and repeated prompting of the LLM for multiple tasks comes at a price.

  5. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Some examples of commonly used question answering datasets include TruthfulQA, Web Questions, TriviaQA, and SQuAD. [123] Evaluation datasets may also take the form of text completion, having the model select the most likely word or sentence to complete a prompt, for example: "Alice was friends with Bob. Alice went to visit her friend, ____". [1]

  6. Retrieval-augmented generation - Wikipedia

    en.wikipedia.org/wiki/Retrieval-augmented_generation

    Retrieval Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.

  7. Vicuna LLM - Wikipedia

    en.wikipedia.org/wiki/Vicuna_LLM

    Vicuna LLM is an omnibus Large Language Model used in AI research. [1] Its methodology is to enable the public at large to contrast and compare the accuracy of LLMs "in the wild" (an example of citizen science ) and to vote on their output; a question-and-answer chat format is used.

  8. Microsoft’s AI Copilot can be weaponized as an ‘automated ...

    www.aol.com/finance/microsoft-ai-copilot-weaponi...

    What’s particularly interesting is how all of them rely on using the LLM-based tool as it was designed to be used—asking the chatbot questions to prompt it to retrieve data from a user’s own ...

  9. "Motley Fool Money" Looks Back on 2 Great AI Episodes

    www.aol.com/finance/motley-fool-money-looks-back...

    Ethan Mollick: It's an open question, although I did just have a student send me the prompt they want me to use to write their letter. Dylan Lewis: Wow. This is the first.