Learn The Fundamentals Of Becoming An AI Engineer On Scrimba; https://v2.scrimba.com/the-ai-engineer-path-c02v?via=developersdigest
Links:
https://artificialanalysis.ai/models/llama-3-3-instruct-70b
https://ollama.com/blog/structured-outputs
https://console.groq.com/playground?model=llama-3.3-70b-specdec
https://github.com/meta-llama/llama-models/blob/main/models/llama3_3/MODEL_CARD.md
https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
https://x.com/Ahmad_Al_Dahle/status/1865071436630778109
https://x.com/rowancheung/status/1865107802508730853
https://x.com/AIatMeta/status/1865079068833780155
https://x.com/ArtificialAnlys/status/1865130350923649534
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
source
