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Tag: examples

  • Generating passages similar in style to a set of 9 examples (Question)

    Generating passages similar in style to a set of 9 examples (Question) Hello everyone I hope I can find some guidance here for a project in generative AI. I have a set of 9 short passages from a TOEFL-like English test. I need to generate more passages that match the style of the examples set.…

  • Finding Golden Examples: A Smarter Approach to In-Context Learning

    Finding Golden Examples: A Smarter Approach to In-Context Learning From random example selection to systematic AuPair generation  — how to make your LLM prompts actually work The post Finding Golden Examples: A Smarter Approach to In-Context Learning appeared first on Towards Data Science. Sudheer Singh Go to original source

  • 3 Powerful Examples of the Python Re Library

    3 Powerful Examples of the Python Re Library Explore the power of regex and save time in data analysis Continue reading on Towards Data Science » Suraj Gurav Go to original source

  • Generation from Noisy Examples

    Generation from Noisy Examples arXiv:2501.04179v1 Announce Type: new Abstract: We continue to study the learning-theoretic foundations of generation by extending the results from Kleinberg and Mullainathan [2024] and Li et al. [2024] to account for noisy example streams. In the noiseless setting of Kleinberg and Mullainathan [2024] and Li et al. [2024], an adversary picks…

  • Understanding When and How to Implement FastAPI Middleware (Examples and Use Cases)

    Understanding When and How to Implement FastAPI Middleware (Examples and Use Cases) Supercharge Your FastAPI with Middleware: Practical Use Cases and Examples Continue reading on Towards Data Science » Mike Huls Go to original source

  • On the ERM Principle in Meta-Learning

    On the ERM Principle in Meta-Learning arXiv:2411.17898v1 Announce Type: new Abstract: Classic supervised learning involves algorithms trained on $n$ labeled examples to produce a hypothesis $h in mathcal{H}$ aimed at performing well on unseen examples. Meta-learning extends this by training across $n$ tasks, with $m$ examples per task, producing a hypothesis class $mathcal{H}$ within some…