Posts by Benjamin Marie

[ad_1] Following Hugging Face’s Zephyr recipeGenerated with DALL-EFinding good training hyperparameters for new LLMs is always difficult and time-consuming. With Zephyr Gemma 7B, Hugging Face seems to have found a…

[ad_1] How to efficiently outperform GPT-3.5 and Llama 2 70BImage by 8385 from PixabayMost of the recent large language models (LLMs) use very similar neural architectures. For instance, the Falcon,…

[ad_1] Mistral 7B aligned with IPOPhoto by Rishabh Dharmani on UnsplashTo become chat models, pre-trained large language models (LLMs) are fine-tuned on large datasets of instructions/questions paired with expected answers.…

[ad_1] Quantization-aware fine-tuningIllustration by the author — Made with images from Pixabay (1,2)State-of-the-art large language models (LLMs) are pre-trained with billions of parameters. While pre-trained LLMs can perform many tasks,…

[ad_1] There is also a chat version. The models are available on the Hugging Face hub:Falcon 180B is completely free and state-of-the-art. But it’s also a huge model.Can it run…

[ad_1] Almost all the large language models (LLM) rely on the Transformer neural architecture. While this architecture is praised for its efficiency, it has some well-known computational bottlenecks.During decoding, one…

[ad_1] And outperforms Google Translate for the translation of literary worksImage from PixabayAccording to previous studies, GPT models perform as well as standard machine translation systems, e.g., Google Translate.These studies…

[ad_1] OpinionIt’s 1960 all over againImage from PixabayIn a recent study, the University of Pennsylvania and OpenAI investigated the potential impact of large language models (LLM), such as GPT models,…

[ad_1] 100+ new metrics since 2010Image from PixabayAn evaluation with automatic metrics has the advantages to be faster, more reproducible, and cheaper than an evaluation conducted by humans.This is especially…

[ad_1] Clean, normalize, and tokenizeImage from Pixabay.Data preprocessing is a critical step for any machine learning tasks. The data must be correct, clean, and in the expected format.In this blog…