AI 요약관련 정보

Learn The Fundamentals Of Becoming An AI Engineer On Scrimba; https://v2.scrimba.com/the-ai-enginee... Links: https://artificialanalysis.ai/models/... https://ollama.com/blog/structured-ou... https://console.groq.com/playground?m... https://github.com/meta-llama/llama-m... https://huggingface.co/meta-llama/Lla... https://x.com/Ahmad_Al_Dahle/status/1... https://x.com/rowancheung/status/1865... https://x.com/AIatMeta/status/1865079... https://x.com/ArtificialAnlys/status/... Meta's New Llama 3.3: A Game-Changer in AI with 70 Billion Parameters In this video, I cover Meta's surprise announcement of Llama 3.3, a new AI model with 70 billion parameters. This model offers similar performance to the Llama 3.1 405B but is more cost-effective and easier to run. I compare Llama 3.3 to other frontier models like GPT 4.0 and discuss its standout performance in math and instruction-following benchmarks. I also provide information on how to test this model on platforms like Grok and Hugging Face and delve into its training specifications and independent evaluations. Join me as I explore the capabilities and benefits of this new AI model. 00:00 Surprise Announcement from Meta 00:02 Llama 3 Model Overview 00:34 Benchmark Comparisons 00:44 Cost Efficiency and Availability 01:06 Installation and Hardware Requirements 01:43 Model Performance and Evaluations 02:15 Independent Evaluations and Analysis 03:04 Personal Testing and Observations 04:00 Providers and Hosting Options 04:46 Conclusion and Final Thoughts