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Understanding Prompt Injection: Risks, Methods, and Defense Measures

SabiYarn: Advancing Low-Resource Languages With Multitask NLP Pre-Training [Paper Reflections]

How to Monitor, Diagnose, and Solve Gradient Issues in Foundation Models

STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning [Paper Reflection]

Evaluating RAG Pipelines

How to Build an LLM Agent With AutoGen: Step-by-Step Guide

Bayesian Deep Learning is Needed in the Age of Large-Scale AI [Paper Reflection]

Introduction to State Space Models as Natural Language Models

Ethical Considerations and Best Practices in LLM Development

Open LLMs are Necessary For Current Private Adaptations and Outperform Their Closed Alternatives [Paper Reflection]

Learnings From Teams Training Large-Scale Models: Challenges and Solutions For Monitoring at Hyperscale

Mixture of Experts LLMs: Key Concepts Explained