#7. Why Increase LLM Parameters? The Real Reason скачать в хорошем качестве

#7. Why Increase LLM Parameters? The Real Reason

Why do Large Language Models (LLMs) like GPT, LLaMA, and Gemini keep increasing the number of parameters? In this video, we break down WHY increasing LLM parameters improves performance, what parameters actually represent, and where scaling starts to fail. 📌 What you’ll learn: What LLM parameters really are Why more parameters improve language understanding Scaling laws in LLMs Emergent abilities in large models Trade-offs: cost, latency & memory Is bigger always better? The future of LLM scaling This video is perfect for: ✔ AI & ML beginners ✔ NLP learners ✔ GenAI enthusiasts ✔ Anyone curious about ChatGPT & LLMs attention all you need - https://arxiv.org/pdf/1706.03762 👍 Like | Share | Subscribe for more LLM & AI content #llm #ai #chatgpt #generativeai #machinelearning #deeplearning #nlp #aiexplained