VentureBeat

Researchers find that retraining only small parts of AI models can cut costs and prevent forgetting

Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its ...
Science Daily

Zero-shot classification of art with large language models

Traditional machine learning models for automatic information classification require retraining data for each task. Researchers have demonstrated that art data can be automatically classified with ...
TechCrunch

Instead of fine-tuning an LLM as a first approach, try prompt architecting instead

Amid the generative AI eruption, innovation directors are bolstering their business’ IT department in pursuit of customized chatbots or LLMs. They want ChatGPT but with domain-specific information ...
CoinTelegraph

Google taught an AI model how to use other AI models, and it got 40% better at coding

The research could make it possible to teach old AI models new tricks without expensive fine-tuning or retraining sessions. Artificial intelligence (AI) researchers at Google Research and Google ...
VentureBeat

New 1.5B router model achieves 93% accuracy without costly retraining

Researchers at Katanemo Labs have introduced Arch-Router, a new routing model and framework designed to intelligently map user queries to the most suitable large language model (LLM). For enterprises ...