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hyperparameter-tuning
hyperparameter-tuning PublicEffect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance
Python 2
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dataloaders
dataloaders PublicDataloaders is a versatile library designed for processing and formatting datasets to support various Retrieval-Augmented Generation (RAG) pipelines, facilitating efficient evaluation and analysis.
Python 2
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rag-pipelines
rag-pipelines PublicAdvanced RAG Pipelines and Evaluation: Self-Reflective RAG, Corrective RAG, Adaptive RAG, Sub-Query Generation and Routing, DSPy, DeepEval
Python 2
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- rag-pipelines Public
Advanced RAG Pipelines and Evaluation: Self-Reflective RAG, Corrective RAG, Adaptive RAG, Sub-Query Generation and Routing, DSPy, DeepEval
avnlp/rag-pipelines’s past year of commit activity - vectordb Public
Created pipelines for Semantic Search, Metadata Filtering, Hybrid Search, Reranking, and Retrieval-Augmented Generation (RAG) for the TriviaQA, ARC, PopQA, FactScore, and Edgar datasets. These pipelines have been implemented for the Pinecone, Weaviate, Milvus, Qdrant and Chroma vector databases.
avnlp/vectordb’s past year of commit activity - dataloaders Public
Dataloaders is a versatile library designed for processing and formatting datasets to support various Retrieval-Augmented Generation (RAG) pipelines, facilitating efficient evaluation and analysis.
avnlp/dataloaders’s past year of commit activity - llm-finetuning Public
avnlp/llm-finetuning’s past year of commit activity - hyperparameter-tuning Public
Effect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance
avnlp/hyperparameter-tuning’s past year of commit activity - finbert-hf Public
avnlp/finbert-hf’s past year of commit activity