Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute
Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.
Contextual AI launches RAG 2.0 platform to aid in the development of domain-specific AI agents
The new platform is based on an improved version of the company’s technology, known as RAG 2.0, which debuted last year. The ...
From Generalist To Specialist: The Role Of SFT In LLM Evolution
While supervised fine-tuning is allowing LLMs to succeed in narrow contexts, it requires high-quality, domain-specific ...
unite16d
5 Best Open Source LLMs (January 2025)
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 ...
BioSpace24d
Ractigen Therapeutics Announces First Patient Dosed in Phase I Clinical Trial for RAG-17 in SOD1-ALS
“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 ...
labs.sogeti25d
Building advanced RAG systems: Part 1
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 ...
IEEE25d
Hybrid RAG-Empowered Multi-Modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-Based Contract Approach
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 ...
marktechpost25d
Meet OREO (Offline REasoning Optimization): An Offline Reinforcement Learning Method for Enhancing LLM Multi-Step Reasoning
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 ...