Samsung researchers present LoRA-Guard: a parameter-efficient guardrail adaptation method based on knowledge sharing between LLM

Samsung researchers present LoRA-Guard: a parameter-efficient guardrail adaptation method based on knowledge sharing between LLM and Guardrail models

07/14/2024

Large language models (LLMs) have demonstrated remarkable language generation capabilities. However, their training process, which involves unsupervised learning from large ...

Google DeepMind presents a parameter-efficient expert retrieval mechanism that leverages the product key technique for sparse retrieval of a million small experts

by Technical Terrence Team

07/11/2024

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In Transformer architectures, computational costs and activation memory grow linearly with increasing feedforward layers’ hidden layer width (FFW). This scaling ...

This AI research introduces TinyGPT-V: a parameter-efficient MLLM (Multimodal Large Language Models) designed for a variety of real-world vision language applications.

by Technical Terrence Team

01/02/2024

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The development of multimodal large language models (MLLM) represents an important advance. These advanced systems, which integrate language and visual ...