OpenAI is Adding Memory Capabilities to ChatGPT to Improve Conversations

By letting ChatGPT remember conversations, OpenAI hopes to reduce the need for users to provide repetitive context information and make future chats more helpful. Users will be able to ask what to remember explicitly, what to forget, or turn off the feature entirely.

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.