While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper ...

While supervised fine-tuning is allowing LLMs to succeed in narrow contexts, it requires high-quality, domain-specific ...

MosaicML Foundations has made a significant contribution to this space with the introduction of MPT-7B, their latest open-source LLM. MPT-7B, an acronym for MosaicML Pretrained Transformer, is a ...

“The first patient dosed in the RAG-17 trial marks a pivotal milestone in our mission to combat ALS, one of the most devastating neurodegenerative diseases,” said Dr. Long-Cheng Li, Founder and CEO of ...

Other document elements like tables, diagrams and graphs often become an incoherent jumble of symbols and text which is unusable by the LLM. The downstream effect is that RAG systems perform well ...

To this end, this paper proposes a hybrid Retrieval-Augmented Generation (RAG)-empowered medical MLLM framework for healthcare data management. The proposed framework enables secure data training by ...

These obstacles highlight the need for more targeted and efficient solutions to enhance LLM reasoning capabilities. OREO (Offline REasoning Optimization) is an offline RL approach specifically ...

Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like "the" or "it"), whereas larger words may be represented by ...