Optimizing large language models (LLMs) currently presents a significant engineering trade-off between flexibility and In-Context Learning (ICL) and efficiency of Context Distillation (CD) Or Supervised Fine-Tuning (SFT). Tokyo-based Sakana AI …
Tag:
optimize
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A California-based startup that aims to build AI systems to transform AI chip development and production has confirmed $300 million Series A funding at a valuation of $4 billion, just …
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Generative AI
Meet LLMRouter: an intelligent routing system designed to optimize LLM inference by dynamically choosing the best-fit model for each query.
LLMRouter is an open source routing library from the U Lab at the University of Illinois Urbana-Champaign that treats model selection as a first-order system problem. It sits among a …
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Generative AI
Liquid AI’s LFM2-2.6B-Exp uses pure reinforcement learning RL and dynamic hybrid reasoning to optimize small model behavior
Liquid AI has introduced LFM2-2.6b-XP, an experimental checkpoint of its LFM2-2.6b language model trained with pure reinforcement learning on top of the existing LFM2 stack. The goal is simple, to …
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Author(s): Abinaya Subramaniam Originally published on Towards AI. If retrieval is the search engine of your RAG system, chunking is the foundation on which the search engine stands. Even the …