Recherche & développement

Finally, a Replacement for BERT

This blog post introduces ModernBERT, a family of state-of-the-art encoder-only models representing improvements over older generation encoders across the board.

MonoQwen-Vision, the first visual document reranker

We introduce MonoQwen2-VL-v0.1, the first visual document reranker to enhance the quality of the retrieved visual documents and take these pipelines to the next level. Reranking a small number of candidates with MonoQwen2-VL-v0.1 achieve top results on the ViDoRe leaderboard.

PyLate: Flexible Training and Retrieval for ColBERT Models

We release PyLate, a new user-friendly library for training and experimenting with ColBERT models, a family of models that exhibit strong retrieval capabilities on out-of-domain data.

ArabicWeb24: Creating a high quality Arabic Web-only pre-training dataset

Training Mamba Models on AMD MI250/MI250X GPUs with Custom Kernels

In this blogpost we show how we can train a Mamba model interchangeably on both NVIDIA and AMD and we compare both training performance and convergence in both cases. This shows that our training stack is becoming more GPU-agnostic.

Comment transformer les LLMs en Agents Intelligents ?

Développement des Capacités Agentiques pour les LLMs afin d'automatiser les flux de travail et créer des assistants intelligents

Passing the Torch: Training a Mamba Model for Smooth Handover

We present our explorations on training language models based on the new Mamba architecture, which deviates from the traditional Transformer architecture.

LightOn AI Meetup Creating a Large Dataset for Pretraining LLMs

Présentation d'Alfred-40B-1023:

Pionnier de l'avenir des LLM open-source de LightOn