2 Repos
Awesome GitHub RepositoriesModel Optimization Techniques
Methods and strategies for fine-tuning neural network layers and training stability.
Distinguishing note: Focuses on layer-specific freezing strategies during transfer learning, distinct from general model architecture.
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Awesome Model Optimization Techniques GitHub Repositories
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- aishwaryanr/awesome-generative-ai-guide
aishwaryanr/awesome-generative-ai-guide
24,755Auf GitHub ansehenThis project is a community-driven knowledge repository and technical learning resource focused on the field of generative artificial intelligence. It serves as a centralized hub for developers and practitioners to access curated research, tutorials, and foundational concepts necessary for building and deploying modern artificial intelligence applications. The platform distinguishes itself through a collaborative, distributed contribution model that aggregates diverse learning materials into a structured, searchable knowledge base. It covers a wide range of specialized topics, including retri
Teaches methods for fine-tuning and optimizing models to improve task-specific accuracy.
HTMLawesomeawesome-listgenerative-ai - chiphuyen/aie-book
chiphuyen/aie-book
13,779Auf GitHub ansehenThis project serves as a comprehensive educational resource and technical handbook for engineers building applications powered by large language models. It provides a structured framework for mastering the principles of artificial intelligence engineering, covering the full lifecycle of model development from initial design to production deployment. The repository distinguishes itself by offering a deep dive into the practical implementation of advanced design patterns, including retrieval-augmented generation, agentic tool orchestration, and parameter-efficient model adaptation. It emphasize
Provides methods and strategies for fine-tuning neural network layers to adapt foundation models to specific tasks.
Jupyter Notebook
