Apple Researchers Detail Method to Combine Different LLMs to Achieve State-of-the-Art Performance

Many large language models (LLMs) have become available recently, both closed and open source further leading to the creation of combined models known as Multimodal LLMs (MLLMs). Yet, few or none of them unveil what design choices were made to create them, say Apple researchers who distilled principles and lessons to design state-of-the-art (SOTA) Multimodal LLMs.

Nvidia Announces Robotics-Oriented AI Foundation Model

At its recent GTC 2024 event, Nvidia announced a new foundational model to build intelligent humanoid robots. Dubbed GR00T, short for Generalist Robot 00 Technology, the model will understand natural language and be able to observe human actions and emulate human movements.

Airbnb Open-Sources its ML Feature Platform Chronon

Chronon, Airbnb platform to create the infrastructure required to transform raw data into ML-ready features, is now open source. As Airbnb ML infrastructure engineer Varant Zanoyan explains, Chronon supports a variety of data sources and aims to provide low-latency streaming.

Google Text Embedding Model Gecko Distills Large Language Models for Improved Performance

Gecko is a text embedding model that Google created by distilling knowledge from large language models into a general-purpose model. Gecko is trained using a novel approach on a variety of tasks including document retrieval, semantic similarity, and classification, and aims to be as general-purpose as it goes as well as highly performant.

Google Launches Gemini 1.5 Flash for Lower-Latency and More Efficient AI Serving

Part of the Gemini family of AI models, Gemini Flash is a lighter-weight iteration that is designed to be faster and more efficient to use than Gemini Pro while offering the same “breakthrough” context window of one million tokens.