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Llama3: Comparing 8B vs 70B Parameter Models - Which One is Right for You?

Welcome back, everyone! In this video, we're diving into the fascinating world of Llama3, focusing on the differences between the 8 billion parameter (8B) model and the 70 billion parameter (70B) model. We'll explore what parameters mean in the context of language models and how the number of parameters affects performance. You'll see side-by-side comparisons of both models in action, including: Understanding Parameters: What do 8B and 70B mean? Model Performance: Real-world tests on joke generation, marketing plans, resume improvements, and complex family relationship reasoning. Hardware Requirements: Why the 70B model needs more powerful GPUs and how Compute Grid makes it accessible. Efficiency and Use Cases: When to use the 8B model and when the 70B model's extra power is worth it. Join us as we test these models with practical examples and see which one is better suited for different AI applications. Don't forget to like, subscribe, and let us know in the comments if there are specific topics you want us to cover next! Chapters: 0:00 - Introduction 1:00 - Understanding Parameters 2:30 - Why Parameters Matter 4:00 - The Strength of the 8B Model 5:30 - Hardware Requirements for 70B 7:00 - Side-by-Side Comparisons 14:00 - Practical Use Cases 17:00 - Conclusion #Ollama3 #AIModels #MachineLearning #ComputeGrid #AIComparisons #TechReview #ArtificialIntelligence #DeepLearning Enjoy the video and stay tuned for more AI insights with Compute Grid! https://computegrid.ai