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October 09, 2024
Harnessing Llama 3.1, Neuromnia recently developed Nia, a human-centric AI co-pilot for Applied Behavior Analysis therapy.
October 18, 2024
Today, Meta FAIR is releasing several new research artifacts in support of our goal of achieving advanced machine intelligence (AMI) while also supporting open science and reproducibility.
February 12, 2025
Starting today, SAM 2.1 is available in Amazon SageMaker JumpStart, making it easier than ever to deploy SAM 2.1 and integrate it into new applications and workflows.
October 22, 2024
Untukmu.AI, a platform that offers personalized gift recommendations, designed a semi-decentralized personal assistant that ensures the company won’t have access to customer data.
October 24, 2024
As our first quantized models in this Llama category, these instruction-tuned models retain the quality and safety of the original 1B and 3B models, while achieving 2-4x speedup.
October 31, 2024
Today, Meta FAIR is publicly releasing several new research artifacts that advance robotics and support our goal of reaching advanced machine intelligence (AMI).
November 08, 2024
Teams embarked on a 30-hour journey to create AI solutions tackling real-world challenges, leveraging Meta’s Llama 3 models and WhatsApp APIs.
November 19, 2024
Meta FAIR is releasing a large-scale dataset of experimental results on various materials, providing valuable insights for the development of new catalysts.
November 20, 2024
Accenture turned to Llama for a leading global intergovernmental body’s first large-scale, public-facing generative AI application.
November 22, 2024
SPDL is a framework-agnostic data loading solution that uses multi-threading, which achieves high-throughput in a regular Python interpreter (built without free-threading option enabled).
December 02, 2024
The team behind BiMediX2, an Arabic-English medical large multimodal model, aims to expand healthcare access in Africa and the Middle East.
December 04, 2024
Aitomatic enables semiconductor companies to build Domain-Expert Agents to capture and scale their deep domain expertise using Llama-based foundation models.
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