Neptune Blog
Learn from AI/ML engineers, researchers, and folks building foundation models: best practices, tool reviews, and real-world examples.
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Synthetic Data for LLM Training
What are LLM Embeddings: All you Need to Know
Detecting and Fixing ‘Dead Neurons’ in Foundation Models
Part 2: Instruction Fine-Tuning: Evaluation and Advanced Techniques for Efficient Training
How to Optimize LLM Inference
A Researcher’s Guide to LLM Grounding
Part 1: Instruction Fine-Tuning: Fundamentals, Architecture Modifications, and Loss Functions
Understanding Prompt Injection: Risks, Methods, and Defense Measures
SabiYarn: Advancing Low-Resource Languages With Multitask NLP Pre-Training [Paper Reflections]
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
