Meta's Fundamental AI Research (FAIR) team has made significant advancements and contributions to AI research, models, and datasets recently that align with principles of openness, collaboration, quality, and scalability. Through these, the team aims to encourage innovation and responsible development in AI.
Meta FAIR has made six key research artifacts public, as part of an aim…
Open-source pre-training datasets play a critical role in investigating data engineering and fostering transparent and accessible modeling. Recently, there has been a move from frontier labs towards the creation of large multimodal models (LMMs) requiring sizable datasets composed of both visual and textual data. The rate at which these models advance often exceeds the availability…
In the current economic climate, getting the maximum benefit of their Snowflake investment is crucial for data teams. As a data warehouse, Snowflake facilitates data storage and management in its cloud-based environment. However, cost optimization in Snowflake remains a major concern for data teams, who often spend a considerable amount of time manually looking for…
GPUs, or Graphics Processing Units, are powerful processors and essential components for running artificial intelligence (AI) algorithms. However, their high acquisition and maintenance costs often make them inaccessible to small businesses, individual initiatives, and academic institutions. Recognizing an opportunity in the AI revolution, which has driven a high demand for GPUs, GPUDeploy offers a solution…
Reinforcement learning (RL) is often used to train large language models (LLMs) for use as AI assistants. By assigning numerical rewards to outcomes, RL encourages behaviours that result in high-reward outcomes. However, a poorly stated reward signal can lead to 'specification gaming', where the model learns behaviours that are undesirable but highly rewarded.
A range of…
Together AI has announced an advancement in artificial intelligence with a new approach called the Mixture of Agents (MoA), also referred to as Together MoA. This model employs the combined strengths of multiple large language models (LLMs) to deliver increased performance and quality, setting a new standard for AI.
The MoA's design incorporates layers, each containing…
AI organization Together AI has made a significant step in AI by introducing a Mixture of Agents (MoA) approach, Together MoA, which integrates the strengths of multiple large language models (LLMs) to boost quality and performance, setting new AI benchmarks.
MoA uses a layered design, with each level having several LLM agents. These agents use the…
Large language models (LLMs), such as those which power AI chatbots like ChatGPT, are highly complex. While these powerful tools are used in diverse applications like customer support, code generation, and language translation, they remain somewhat of a mystery to the scientists who work with them. To develop a deeper understanding of their inner workings,…
Large language models (LLMs) that power artificial intelligence chatbots like ChatGPT are extremely complex and their functioning isn't fully understood. These LLMs are used in a variety of areas such as customer support, code generation and language translation. However, researchers from MIT and other institutions have made strides in understanding how these models retrieve stored…