Large Language Models (LLMs) like GPT-4, Claude, and DeepSeek-R1 are transforming industries, but their real power comes after pre-training! This video dives deep into A Survey on Post-training of Large Language Models, revealing how post-training techniques refine AI to be more intelligent, ethical, and efficient.
📖 What You’ll Learn:
✅ Why pre-trained LLMs struggle with reasoning, bias, and domain-specific knowledge
✅ How fine-tuning enhances task accuracy
✅ The role of alignment (RLHF, DPO) in making AI safer and more ethical
✅ How reasoning techniques improve multi-step problem-solving
✅ Why efficiency strategies like model compression and PEFT are critical
✅ The future of AI and what’s next for LLMs!
📄 Read the full paper here: A Survey on Post-training of Large Language Models
💡 If you’re fascinated by AI evolution, machine learning breakthroughs, or want to understand how LLMs are becoming smarter, this video is for you!
👍 Don’t forget to LIKE, SHARE, and SUBSCRIBE for more cutting-edge AI insights! 🚀
#AI #LLMs #MachineLearning #ArtificialIntelligence #PostTraining #DeepLearning
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