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If historical trends continue, we expect to see a growing number of AI models trained at the 10^25 FLOP scale. Something similar happened before: GPT-3 was trained at 10^23 FLOP in 2020, and by 2024 there were 80+ models over this scale.

EpochAIResearch's tweet image. If historical trends continue, we expect to see a growing number of AI models trained at the 10^25 FLOP scale. Something similar happened before: GPT-3 was trained at 10^23 FLOP in 2020, and by 2024 there were 80+ models over this scale.

looptech_ceo reposted

4. Scores of notable models on key benchmarks over time. They are able to solve problems quicker and quickly elevate on % tasks solved on a given test

MarcBal77's tweet image. 4. Scores of notable models on key benchmarks over time.

They are able to solve problems quicker and quickly elevate on % tasks solved on a given test

looptech_ceo reposted

CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM Contributions: • We propose a unified multimodality-conditioned CAD generation method by leveraging the pretrained MLLM, and the condition can be text, images, point clouds, and any combination of these…


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