Twitter Grok AI Large Language Model Released for Free!

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🎉 Welcome to our deep dive into Grok 1, the latest sensation in the world of open-source artificial intelligence! 🌟 Developed by X (formerly Twitter), Grok 1 is not just another language model; it's a groundbreaking 314 billion parameter, mixture of experts model that's set to change how we approach coding and AI development. 🛠️

In this video, we're taking you through the ins and outs of Grok 1, comparing it with its predecessors like GPT 3.5 and even the more advanced GPT 4 and Claude 2, based on various benchmarks. 📊 Despite its ranking, Grok 1's capabilities, especially in coding challenges, are impressive, and we're here to show you just how far it can go. 🚀

We'll explore how Grok 1 performs in real-world coding tests, from basic Python tasks to advanced challenges, and how you can start experimenting with it using Hugging Face, albeit with a hefty GPU requirement due to its size. 🖥️ Discover the unique architecture that sets Grok 1 apart, including its 64 layers, 48 attention heads, and specialized expert systems. 🧠

If you're fascinated by AI and coding, make sure to subscribe and hit the bell icon to stay updated with our latest videos. 👍 Don't forget to like and share this video to help spread the word about Grok 1's potential!

🔗 Resources:

Timestamps:
0:00 - Introduction to Grock 1 and Its Capabilities
0:26 - Grock 1 vs. GPT 3.5 & GPT 4 Performance Benchmark
1:00 - How to Access and Use Grock 1's Open-Source Code
1:35 - Testing Grock 1 with Python Coding Challenges
3:11 - Troubleshooting and Overcoming Errors with Grock 1
4:41 - Final Thoughts and Future Videos on Grock 1

Engage with this comprehensive guide to uncover the power of Grock 1 and how it stands in the realm of artificial intelligence and coding. Whether you're a developer, a tech enthusiast, or just curious about the future of AI, this video is packed with insights and demonstrations that showcase Grock 1's groundbreaking potential. Stay tuned for more!

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Understand what "Open Source" is when applied to these AI models. The reality is that none of them are "open". For an AI model to be truly open, the developer(s) must also publish - in total and continually updated - the complete running weights and source code and ALL training data. This would allow other AIs to analyze it, and make themselves better. Fortunately for these AI houses, its mostly about hype.

shotelco

Thanks for giving a brief view!! in shorter period of time, hoping to see more on downloading and working

logeshkumar

It shows some promise, thanks for testing the original fine-tuned version to give an idea of the potential.
I'm not sure anybody will be trying to fine-tune this humongous model however since virtually nobody will be able to run it locally due to the incredible VRAM requirements even when quantized down.

Side question: how comes this otherwise brilliant test website runs such an old Python interpreter? Python 3.5 was released in 2015.
I feel like it's a bit of an unfair evaluation for LLMs by making them fail when they're correct.

supercurioTube

Wow it beat claude in coding
Do you have a community
Would be great for hands on with these models for fun

JasonQuist-zi

Thanks for posting. Please try math problems as well. e.g. A group of 266 persons consists of men, women, and children. There are
four times as many men as children, and twice as many women as children. How many of each are there?

pleabargain