Using the open source DINOv2 model, a medtech company founded by two pediatric cardiologists developed tools to help clinicians identify or rule out signs of congenital heart defects in children faster and more accurately.
@aiatmeta
-
Llama Stack First Stable Release with API Improvements
By
–
Today, we’re publishing the first stable release of Llama Stack.
With this release Llama Stack now includes:
• Streamlined upgrades w/ backwards compatibility for future API versions.
• Automated verification for supported providers. Live in the repo -
Fashion Content Creation with Segment Anything 2 and Open Source Models
By
–
With a stack leveraging Segment Anything 2, an RTX 4090 and a collection of open source models and utilities, Josephine Miller is creating runway-ready fashion content ➡️ https://t.co/TIXcyRVYyy pic.twitter.com/ek49D1s2K3
— AI at Meta (@AIatMeta) 23 janvier 2025With a stack leveraging Segment Anything 2, an RTX 4090 and a collection of open source models and utilities, Josephine Miller is creating runway-ready fashion content https://
go.fb.me/slwyw5 -
Llama Enables Saama’s Personalized Medicine and Data-Driven Care
By
–
How Llama is helping Saama deliver new possibilities in personalized medicine and data-driven care https://
go.fb.me/pfq4x7 -
OpenBioLLM Models Accelerate Clinical Trials and Personalized Medicine
By
–
OpenBioLLM-8B and OpenBioLLM-70B are new fine-tuned Llama models developed by Saama to streamline tasks that can accelerate clinical trials, opening up new possibilities in personalized medicine. More details in their research paper https://
go.fb.me/x3iq84 -
Meta announces LLM Evaluation research grants recipients
By
–
Today we’re announcing the recipients of our LLM Evaluation research grants. These four projects will each receive $200K in grant funding from Meta to further their work in novel new work in evaluations over the next year. MMRLU: Massive Multitask Regional Language
-
Meta Grant Program Details and Project Scope Information
By
–
You can find more details on these projects and the scope of this grant program from Meta https://
go.fb.me/q7sw1x -
SwiftKV reduces Llama inference costs by up to 75%
By
–
In December, @SnowflakeDB AI Research announced SwiftKV, a new approach that reduces inference computation during prompt processing. Today they're making SwiftKV-optimized Llama models available on Cortex AI that reduce inference costs by up to 75%!
-
Congratulations on Llama 3.3 RAG Performance Release
By
–
Congratulations on the release! Very exciting to see the impressive RAG performance you're achieving built on Llama 3.3!
-
Meta’s SeamlessM4T Research Published in Nature Journal
By
–
Today we’re excited to share that our work on SeamlessM4T from Meta FAIR was published in the latest issue of @Nature https://
go.fb.me/hmea6y