Uploaded April 2025 | Updated September 2026, 2 weeks ago
Unlock the next frontier in Reinforcement Learning by turning Large Language Models (LLMs) and Vision‑Language Models (VLMs) into agents themselves! In this deep‑dive, we explore how parametric methods use fine‑tuning techniques like LoRA, adapter weights, and prefix tuning to teach your LLM/VLM from new trajectories, and how non‑parametric methods leverage retrieval‑augmented prompts to guide action choices without modifying model weights.
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#AI #MachineLearning #DeepLearning #ReinforcementLearning #LLM #VLM #FineTuning #PromptEngineering
Unlock the next frontier in Reinforcement Learning by turning Large Language Models (LLMs) and Vision‑Language Models (VLMs) into agents themselves! In this deep‑dive, we explore how parametric methods use fine‑tuning techniques like LoRA, adapter weights, and prefix tuning to teach your LLM/VLM from new trajectories, and how non‑parametric methods leverage retrieval‑augmented prompts to guide action choices without modifying model weights.
If you found this helpful, be sure to subscribe for more AI tutorials, give the video a thumbs‑up, and leave your questions or experiences in the comments below.
#AI #MachineLearning #DeepLearning #ReinforcementLearning #LLM #VLM #FineTuning #PromptEngineering
