Large Model Systems Organization

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Harnessing the Power of Multi-Agent Systems for Real-Time Optimization

Mohit Agarwal's work provides valuable insights into the transformative capabilities of MARL, highlighting its potential to drive innovation and efficiency in complex, real-time environments.

Advancing Natural Language Understanding: The Transformative Power of Large Language Models

In the rapidly evolving world of artificial intelligence, few advancements have had as profound an impact as Large Language Models (LLMs). Rajnish Jain, a disti

Chain-Of-Thought Models: Navigating The Path To Explainable AI

For example, consider an AI that assists doctors in diagnosing clients. A diagnosis without any rationale is almost useless, as there is no way for the doctor to verify it and ultimately feel comfortable acting on it.

Meta AI's Scalable Memory Layers: The Future of AI Efficiency and Performance

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching new levels of intelligence and capability. From early neural networks to today's advanced architectures like GPT-4,

AI hardware 5month
How Mixture of Experts is Transforming Machine Learning and LLM's and add couple of points about LLMs

In the modern era, artificial intelligence (AI) has rapidly evolved, giving rise to highly efficient and scalable architectures. Vasudev Daruvuri, an expert in AI systems, examines one such innovation in his research on Mixture of Experts (MoE) architecture.

Edge-Aware LLMs: Scaling Generative AI to Edge and IoT Environments

This Research Topic explores the integration of large language models (LLMs) with edge computing to optimize generative AI for resource-constrained Internet

AI can fix bugs—but can't find them: OpenAI's study highlights limits of LLMs in software engineering

A new test from OpenAI researchers found that LLMs were unable to resolve some freelance coding tests, failing to earn full value.

Awesome Production Machine Learning

This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning 🚀 You can keep up to date by watching this github repo to get a summary of the new ...