Categories: AI/ML Research

Linear Layers and Activation Functions in Transformer Models

This post is divided into three parts; they are: • Why Linear Layers and Activations are Needed in Transformers • Typical Design of the Feed-Forward Network • Variations of the Activation Functions The attention layer is the core function of a transformer model.
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12 hours ago

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains

Recent advances in large language models (LLMs) have increased the demand for comprehensive benchmarks to…

12 hours ago

Boost cold-start recommendations with vLLM on AWS Trainium

Cold start in recommendation systems goes beyond just new user or new item problems—it’s the…

12 hours ago

New Cluster Director features: Simplified GUI, managed Slurm, advanced observability

In April, we released Cluster Director, a unified management plane that makes deploying and managing…

12 hours ago

Anthropic unveils ‘auditing agents’ to test for AI misalignment

Anthropic developed its auditing agents while testing Claude Opus 4 for alignment issues.Read More

13 hours ago

Paramount Has a $1.5 Billion ‘South Park’ Problem

The White House says the show is “fourth-rate” after it showed Trump with “tiny” genitals.…

13 hours ago