Liquid Foundation Models: Our First Series of Generative AI Models(liquid.ai)

164 points by jasondavies 2 years ago | 130 comments

Qwen2.5: A Party of Foundation Models(qwenlm.github.io)

155 points by apsec112 2 years ago | 33 comments

PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free(injecguard.github.io)

7 points by mettamage 6 months ago | 2 comments

LeoLM: German-Language LLM Research(laion.ai)

92 points by doubtfuluser 3 years ago | 82 comments

LFM2.5-24B-A2B: Built for fast on-device agents(liquid.ai)

271 points by gmays 11 days ago | 72 comments

Liquid AI blog post announcing LFM2.5-24B-A2B, a sparse language model with about 2B active parameters designed for fast on-device agents.

TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14(efraingaray.com)

21 points by EfrainGaray 28 days ago | 9 comments

Blog post benchmarking TabPFN and TabICL foundation models against tuned XGBoost on fourteen tabular datasets, finding the no-training models won all fourteen.