Скачать с ютуб Fine Tune Phi-2 Model on Your Dataset в хорошем качестве

Fine Tune Phi-2 Model on Your Dataset

Welcome to my latest video where I dive into the fascinating world of AI and machine learning! Today, I'm excited to share with you how I fine-tuned the Phi-2 Model on a custom dataset. 🚀 About Phi-2: Phi-2 is a ground-breaking Transformer model with 2.7 billion parameters. It's a successor to the renowned Phi-1.5 model and includes enhanced training with various NLP synthetic texts and carefully filtered websites. This ensures safety and educational value. Phi-2 has demonstrated near state-of-the-art performance in benchmarks for common sense, language understanding, and logical reasoning among models with less than 13 billion parameters. Dataset Summary: The dataset I used is a rich compilation of questions and answers from two leading online counselling and therapy platforms. Covering a wide spectrum of mental health topics, the responses are crafted by qualified psychologists. By fine-tuning Phi-2 with this dataset, my goal is to enhance the model's capability in providing mental health advice. What You'll Learn: ✅ Insights into Phi-2 and its capabilities. ✅ Step-by-step guide on fine-tuning with a custom dataset. ✅ The impact of specialized datasets on model performance. 🔔 So, are you ready to explore the cutting-edge world of Gen AI with me? Watch the video, and don't forget to hit the like button if you find it informative. Your support means a lot! 💬 If you have any thoughts or questions, feel free to drop a comment below. I love hearing from you! 👉 Remember to subscribe and click the notification bell to stay updated with my latest content on AI and machine learning. Thank you for watching, and let's embark on this AI journey together! LLM Fine Tuning Crash Course:    • LLM Fine Tuning Crash Course: 1 Hour ...   Phi -1 Video:    • Phi-1 LLM Model for Code by Microsoft...   Phi-2 Inference Video:    • Try Microsoft's Phi-2 in Colab Notebook   Phi-2 LLM:    • Is Microsoft's Phi-2 the Best Small L...   Join this channel to get access to perks:    / @aianytime   #llm #generativeai #ai