
The Building Blocks of Today’s and Tomorrow’s Language Models - Sebastian Raschka, RAIR Lab
PyTorch
Why do LLMs hallucinate and how can we fix it? 💭🎯 Even the best models can produce wrong answers when: 👉 Context is missing 👉 Prompts are unclear 👉 Too much irrelevant data is fed in In this video, I cover how to minimize hallucinations in real-world AI projects - from writing better prompts to structuring cleaner data, optimizing context windows, and building evaluation loops that actually catch errors before deployment. Key Highlights: - Start with clear, positively phrased prompts - Connect models to real data (RAG) - Clean and structure your data for reliable retrieval - Verify with proper evaluations - DO YOUR EVALS! - Fine-tune only when truly needed - Scale with advanced RAG and RLFT for better performance Hallucinations won’t disappear completely but with the right systems, they can shrink dramatically. 📌 Follow Me for more such Content. #ai #llms #grounding #short
Category
YouTube - AI & Machine LearningFeed
YouTube - AI & Machine Learning
Featured Date
November 4, 2025Quality Rank
#1

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