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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Learn From Failure: Fine-Tuning LLMs With Trial-and-Error Data For Intuitionistic Propositional Logic Proving [Paper Reflection]
Fine-Tuning Llama 3 with LoRA: Step-by-Step Guide
How to Run LLMs Locally
LLM Hallucinations 101: Why Do They Appear? Can We Avoid Them?
LLM Guardrails: Secure and Controllable Deployment
Reinforcement Learning From Human Feedback (RLHF) For LLMs
LLMs For Structured Data
Strategies For Effective Prompt Engineering
LLM Evaluation For Text Summarization
LLM Observability: Fundamentals, Practices, and Tools
3 Takes on End-to-End For the MLOps Stack: Was It Worth It?
Adversarial Machine Learning: Defense Strategies
