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Exploiting large language model with reinforcement learning for generative job recommendations

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...
Psychology Today

From Human Thought to Machine Coordination

Human clustering can be rather precarious. Small teams work well because they balance diversity of thought with coherence of ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Are LTMs the next LLMs? This new type of AI can do what large-language models can’t

Fundamental, which just closed a $225 million funding round, develops "large tabular models" (LTMs) for structured data like tables and spreadsheets.
IEEE

Deploy Efficient Large Language Model Distributed Inference Pipeline for Heterogeneous GPUs

Abstract: The advent of a large language model (LLM) has revolutionized various domains and services. The inference pipeline system is emerging as an efficient mechanism to deploy LLMs. However, ...