Fast Llama causing AI burnout

Fast Llama causing AI burnout

🚀 AI Race: a llama might be winning 
 but nobody should care.

Even by Gen Ai Standards, the last 2 weeks have been crazy.

A flurry of language models surpassing or matching the performance of GPT-3.5 and GPT-4! đŸ”„

First, Cohere's open-source model left GPT-3.5 in the dust 👋

Not to be outdone in the Open source space, Mistral came up with an innovative model "8x22B", on par with GPT-4 🔗

In a couple of days, Microsoft fine-tuned this model for an even better version. That was "WIzardLM2" apparently surpassing GPT-4 🚀

But then, OpenAI dropped a new GPT-4 iteration 
 leaving all others in its wake 🌊

And just when we thought it was over, Meta released LLama3 it's looking incredible, potentially better than all previous ones, and open-weight to boot! 🏆

I will be honest 


I am not sure anybody outside the small community of AI models builders care anymore.

All these models are already crazy good. No need to risk burnout by testing them all.

Let's focus on use cases and unlocking some value. 🎱


*Text drafted through a chat with an AI model. Visual: Stable Diffusion or DALL-E 3. Transformation and final editing by Jean-Paul Paoli.