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AAAI 2020 | A Turning Point for Deep Learning?

AAAI 2020 | A Turning Point for Deep Learning?

Geoffrey Hinton, Yann LeCun, and Yoshua Bengio shared a stage in New York on Sunday night at an event organized by AAAI 2020.
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Revolutionizing Autonomous Agents: Salesforce’s xLAM Outperforms GPT-4

Revolutionizing Autonomous Agents: Salesforce’s xLAM Outperforms GPT-4

Autonomous agents powered by large language models (LLMs) have garnered considerable research attention. However, the open-source community…
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Outperforming Giants: TinyAgent’s Edge-Based Solution Surpasses GPT-4-Turbo

Outperforming Giants: TinyAgent’s Edge-Based Solution Surpasses GPT-4-Turbo

Recent advancements in large language models (LLMs) have enabled the creation of sophisticated agentic systems that utilize tools and APIs…
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Microsoft’s Fully Pipelined Distributed Transformer Processes 16x Sequence Length with Extreme…

Microsoft’s Fully Pipelined Distributed Transformer Processes 16x Sequence Length with Extreme…

The rapid progress of large language models (LLMs) has greatly influenced natural language processing (NLP), driving advancements across…
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Google’s GameNGen: Bringing Real-Time Game Simulation to Life with Neural Models

Google’s GameNGen: Bringing Real-Time Game Simulation to Life with Neural Models

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Samsung’s MobileQuant: Bringing High-Performance Language Models to Your Pocket

Samsung’s MobileQuant: Bringing High-Performance Language Models to Your Pocket

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NYU & Stanford’s GPUDrive: Achieving Over 1 Million Steps per Second in Multi-Agent Driving…

NYU & Stanford’s GPUDrive: Achieving Over 1 Million Steps per Second in Multi-Agent Driving…

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NVIDIA’s Minitron: Compressing Llama 3.1

NVIDIA’s Minitron: Compressing Llama 3.1

Large Language Model (LLM) providers often build entire families of models from scratch, each varying in size. However, training multiple…
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Meta’s Sapiens: Revolutionizing Human Pose, Segmentation, and Depth Estimation with Vision…

Meta’s Sapiens: Revolutionizing Human Pose, Segmentation, and Depth Estimation with Vision…

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Open Sparse Autoencoders Everywhere: The Ambitious Vision of DeepMind’s Gemma Scope

Open Sparse Autoencoders Everywhere: The Ambitious Vision of DeepMind’s Gemma Scope

Sparse autoencoders (SAEs) are an unsupervised learning technique designed to decompose a neural network’s latent representations into…
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