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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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  • LLMOps

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

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Klea Ziu
- 6 min
TL;DR Vanishing or exploding gradients are common training...
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  • LLMOps

Transformers Key-Value Caching Explained

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Michał Oleszak
- 8 min
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  • LLMOps
  • Paper Reflections

Learn From Failure: Fine-Tuning LLMs With Trial-and-Error Data For Intuitionistic Propositional Logic Proving [Paper Reflection]

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Chenyang An
- 3 min
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  • LLMOps

Fine-Tuning Llama 3 with LoRA: Step-by-Step Guide

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Boris Martirosyan Kilian Kluge
- 10 min
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  • LLMOps

How to Run LLMs Locally

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Gabriel Gonçalves
- 9 min
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  • LLMOps

LLM Hallucinations 101: Why Do They Appear? Can We Avoid Them?

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Aitor Mira Abad
- 9 min
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  • LLMOps

LLM Guardrails: Secure and Controllable Deployment

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Natalia Kuzminykh
- 7 min
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  • LLMOps
  • Reinforcement Learning

Reinforcement Learning From Human Feedback (RLHF) For LLMs

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Michał Oleszak
- 8 min
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  • LLMOps

LLMs For Structured Data

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Ricardo Cardoso Pereira
- 6 min
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  • LLMOps

Strategies For Effective Prompt Engineering

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Lucía Cordero Sánchez
- 13 min
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  • LLMOps

LLM Evaluation For Text Summarization

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Gourav Bais
- 10 min
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  • LLMOps

Observability in LLMOps: Different Levels of Scale

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Aurimas Griciunas
- 3 min
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  • LLMOps

LLM Observability: Fundamentals, Practices, and Tools

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Ejiro Onose Kilian Kluge
- 11 min
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