41. What is LLM Hallucination? Causes & Mitigation Strategies (RAG, RLHF, PEFT) In Hindi скачать в хорошем качестве

41. What is LLM Hallucination? Causes & Mitigation Strategies (RAG, RLHF, PEFT) In Hindi

Are your Large Language Models making things up? In this video, we dive deep into the world of LLM Hallucinations—what they are, why they happen, and exactly how you can mitigate them to build more reliable AI systems. What You’ll Learn: Definition: Understand why LLMs generate "confidently wrong" information that isn't supported by input data. Root Causes: We explore the pitfalls of statistical patterns, limited context, and outdated training data. Advanced Mitigation Strategies: Learn how to ground your models using technical solutions like: Retrieval-Augmented Generation (RAG): Grounding responses in external, verified databases. Chain-of-Thought Prompting: Improving multi-step reasoning. Fine-Tuning (PEFT & RLHF): Aligning model behavior with human feedback. Post-Processing: Using automated filters and fact-checking tools. Whether you're a developer or an AI enthusiast, reducing hallucinations is the #1 step to increasing trust and reliability in AI-driven tools. Subscribe for more deep dives into AI engineering and LLM optimization!