DomainSpecific

RAFT – A High quality-Tuning and RAG Approach to Domain-Specific Query Answering

Because the applications of enormous language models expand into specialized domains, the necessity for efficient and effective adaptation techniques becomes increasingly crucial. Enter RAFT (Retrieval Augmented High quality Tuning), a novel approach that mixes...

The Rise of Domain-Specific Language Models

IntroductionThe sphere of natural language processing (NLP) and language models has experienced a remarkable transformation in recent times, propelled by the arrival of powerful large language models (LLMs) like GPT-4, PaLM, and Llama. These...

Researcher Develops Domain-Specific Scientific Chatbot

In scientific research, collaboration and expert input are crucial, yet often difficult to acquire, especially in specialized fields. Addressing this, Kevin Yager, leader of the electronic nanomaterials group on the Center for Functional Nanomaterials...

The way to add Domain-Specific Knowledge to an LLM Based on Your Data Introduction Principle

In recent months, Large Language Models (LLMs) have profoundly modified the best way we work and interact with technology, and have proven to be helpful tools in various domains, serving as writing assistants, code...

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