meta-encoder
meta-encoder is a feature-extraction model released under the Apache-2.0 license.
Why it matters: Developers can use meta-encoder for feature extraction under an Apache-2.0 license.
Community mirror of ai.meta.com/blog + official Engineering at Meta RSS + meta-llama & facebook on Hugging Face.
8 updates · page 1 of 1
meta-encoder is a feature-extraction model released under the Apache-2.0 license.
Why it matters: Developers can use meta-encoder for feature extraction under an Apache-2.0 license.
We believe glasses are the best form factor for having AI help throughout your day.
Why it matters: A new product capability you may be able to use right away, without code changes.
We’ve built an AI agent that acts as a secondary expert for a given domain, making deep specialist knowledge readily available and preserved for anyone in an organization to access, share, and build upon.
Why it matters: Developer tooling release — update for the latest fixes, features, and compatibility.
Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles.
Why it matters: A new model option to evaluate — compare quality, price, and context length against what you use today.
MTIA 300 is the first of Meta’s family of in-house training and inference accelerators optimized for training ranking and recommendation models.
Why it matters: A new model option to evaluate — compare quality, price, and context length against what you use today.
WhatsApp is committed to helping people stay safe while protecting the privacy of their messages.
Why it matters: A new product capability you may be able to use right away, without code changes.
Official model update from Meta AI (Meta AI Blog).
Why it matters: A new model option to evaluate — compare quality, price, and context length against what you use today.
Official model update from Meta AI (Meta AI Blog).
Why it matters: A new model option to evaluate — compare quality, price, and context length against what you use today.