According to an article by Epoch AI, the total stock of human-generated text (around 300 trillion tokens) could be fully consumed by large language models (LLMs) as early as 2025 if overtraining continues. 😲 Models like hashtag#Llama 3 are already consuming data at unprecedented rates, and we might soon hit a data ceiling! (https://lnkd.in/eauDCiYy)

But do you agree with this? 🤔

At tbrain.ai, we believe that while existing public data might be approaching its limits, there is still a wealth of untapped knowledge that hasn’t been captured in writing. That’s where we come in—specializing in providing high-quality human-labeled data for advanced AI models, because the models still need human expertise, especially in niche, technical areas.

👉 Do you agree or disagree? Let’s discuss the future of data for AI!

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