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A curated list of resources related to domain adaptation, a technique used to improve AI model performance on new datasets.

5.4K

Stable

ML Ops

Tutorials & Courses

#domain-adaptation#transfer-learning#machine-learning

This GitHub repository is a collection of AI-related papers, datasets, and applications focused on prompt engineering and large language models.

3.4K

Active

LLM Frameworks

Prompt Engineering

#ai#language-models#prompt-engineering

A curated list of resources for meta-learning, including papers, code, books, and more for developers working with AI tools.

1.6K

Archived

LLM Frameworks

Tutorials & Courses

#meta-learning#few-shot-learning#one-shot-learning

A collection of notebooks for learning various meta-learning techniques like MAML, Reptile, and One-Shot Learning.

1.2K

Archived

Jupyter Notebook

ML Ops

Tutorials & Courses

Tensorflow

#deep-learning#meta-learning#few-shot-learning

A curated collection of papers on generative information extraction using large language models.

1.1K

Archived

LLM Frameworks

Information Extraction

#large-language-models#information-extraction#event-extraction

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