GPT-4 Turbo

Model ● Covered in 4 stories Compare ⇄ + Follow

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Latest developments

Data Machina #258 Data Machina · 2 years ago · 3

Data Machina #253 Data Machina · 2 years ago · 36

NPHardEval Leaderboard: Unveiling the Reasoning Abilities of Large Language Models through Complexity Classes and Dynamic Updates Hugging Face Blog · 2 years ago · 28

New models and developer products announced at DevDay OpenAI Blog · 2 years ago · 1

Timeline

Month Quarter Year

2024

2023

6 Nov New models and developer products announced at DevDay

Relationships

Products & technology

OpenAI develops this model · 1 source

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TLDRocket 3 August 2026

Open-source AI models are consolidating their foothold as the dominant deployment pattern, even as frontier capabilities remain concentrated at a handful of well-funded labs. Interconnects launched the Artifacts Hub and Adoption Dashboard to track 792 open-weight models released in two years, mapping adoption by geography and revealing how deeply DeepSeek and Chinese models have penetrated deployment pipelines globally. Meanwhile, DeepSeek itself proved that scale isn't everything: its V4-Flash model, a leaner 284-billion-parameter variant, outperformed its own flagship on agent benchmarks through careful post-training. The MIT-licensed release lets enterprises avoid vendor lock-in entirely, directly controlling deployment and retraining at lower infrastructure cost.

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