EPISODE · Oct 19, 2024 · 11 MIN
Model Swarms
from LlamaCast · host Shahriar Shariati
🤝 Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm IntelligenceThis paper presents a new method called MODEL SWARMS, a collaborative search algorithm for adapting large language models (LLMs) using swarm intelligence. The researchers propose viewing each LLM expert as a "particle" in a swarm and use particle swarm optimization (PSO) to collaboratively search the weight space for optimized models. This approach allows LLMs to adapt to a variety of objectives, including single tasks, multi-task domains, reward models, and human interests, without requiring large amounts of training data. Extensive experiments demonstrate that MODEL SWARMS outperforms existing model composition baselines and enables the discovery of previously unseen capabilities in LLMs.📎 Link to paper
What this episode covers
🤝 Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm IntelligenceThis paper presents a new method called MODEL SWARMS, a collaborative search algorithm for adapting large language models (LLMs) using swarm intelligence. The researchers propose viewing each LLM expert as a "particle" in a swarm and use particle swarm optimization (PSO) to collaboratively search the weight space for optimized models. This approach allows LLMs to adapt to a variety of objectives, including single tasks, multi-task domains, reward models, and human interests, without requiring large amounts of training data. Extensive experiments demonstrate that MODEL SWARMS outperforms existing model composition baselines and enables the discovery of previously unseen capabilities in LLMs.📎 Link to paper
NOW PLAYING
Model Swarms
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
No similar podcasts found.