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The refinedweb dataset for falcon llm: Outperforming curated corpora with web data only
Large language models are commonly trained on a mixture of filtered web data and
curated``high-quality''corpora, such as social media conversations, books, or technical …
curated``high-quality''corpora, such as social media conversations, books, or technical …
D4: Improving llm pretraining via document de-duplication and diversification
Over recent years, an increasing amount of compute and data has been poured into training
large language models (LLMs), usually by doing one-pass learning on as many tokens as …
large language models (LLMs), usually by doing one-pass learning on as many tokens as …
Dolma: An open corpus of three trillion tokens for language model pretraining research
Information about pretraining corpora used to train the current best-performing language
models is seldom discussed: commercial models rarely detail their data, and even open …
models is seldom discussed: commercial models rarely detail their data, and even open …
Verilogeval: Evaluating large language models for verilog code generation
The increasing popularity of large language models (LLMs) has paved the way for their
application in diverse domains. This paper proposes a benchmarking framework tailored …
application in diverse domains. This paper proposes a benchmarking framework tailored …