In this video, we explore the cutting-edge advancements of Meta's new open source LLAMA 3.1 large language models, including the massive 405B model, and compare them to top-tier closed source models like GPT-4 Omni and SONNET 3.5. We discuss the significance of open source AI, how it democratizes access and innovation, and dive into detailed performance benchmarks. Additionally, we evaluate the creative and practical capabilities of these models, running various tests including the generation of creative stories and handling real-world knowledge queries. Learn how these models not only rival but sometimes surpass their closed-source counterparts, and discover how you can use and run them locally.

▼ Link(s) From Today’s Video:

Blog post: https://ai.meta.com/blog/meta-llama-3-1/

Try for free here: https://www.meta.ai/

405b also available for free here: https://huggingface.co/chat/

run locally very easily: https://lmstudio.ai/

Available in vs code assistant: https://twitter.com/dani_avila7/status/1815777458630664513

8b aces snake test: https://twitter.com/MatthewBerman/status/1815812123869720994

already in perplexity ai: https://x.com/AravSrinivas/status/1815834018279207297

run 405b in comfyui: https://twitter.com/fofrAI/status/1815786739362918751

Incredibly high speed intelligence: https://twitter.com/minchoi/status/1815812112796565690

Already Jailbroken: https://twitter.com/elder_plinius/status/1815759810043752847

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All Suggestions, Thoughts And Comments Are Greatly Appreciated… Because I Actually Read Them.
00:00 Introduction to Meta's LLAMA 3
01:41 Advantages of Open Source AI
02:51 Meta's Commitment to Open Source
04:37 Model Evaluations and Comparisons
06:38 Running Smaller Models Locally
08:56 Creative Story Generation Test
09:56 Community Reactions and Usage
21:42 Strawberry Test and Model Limitations
31:31 Conclusion and Final Thoughts