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July 21, 2024
Episode 52: Daily Digest – ChatGPT-4o Mini
OpenAI has announced the release of their new model, ChatGPT-4.0 Mini, which is a more affordable and efficient version of their flagship model. The Mini model outperforms previous models in various benchmarks, including language understanding, reasoning tasks, math and coding proficiency, and multimodal reasoning. It is priced at 15 cents per million input tokens and […]

OpenAI has announced the release of their new model, ChatGPT-4.0 Mini, which is a more affordable and efficient version of their flagship model. The Mini model outperforms previous models in various benchmarks, including language understanding, reasoning tasks, math and coding proficiency, and multimodal reasoning. It is priced at 15 cents per million input tokens and 60 cents per million output tokens, making it more than 60% cheaper than GPT-3.5 Turbo. OpenAI has also implemented safety measures in the model and aligns with their voluntary AI commitments.

Keywords

OpenAI, ChatGPT-4.0 Mini, language models, benchmarks, affordability, efficiency, safety measures, AI commitments

Takeaways

  • OpenAI has released ChatGPT-4.0 Mini, a more affordable and efficient version of their flagship model.
  • The Mini model outperforms previous models in various benchmarks, including language understanding, reasoning tasks, math and coding proficiency, and multimodal reasoning.
  • It is priced at 15 cents per million input tokens and 60 cents per million output tokens, making it more than 60% cheaper than GPT-3.5 Turbo.
  • OpenAI has implemented safety measures in the model and aligns with their voluntary AI commitments.

Links:

⁠https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/⁠

⁠https://openai.com/preparedness/⁠

⁠https://openai.com/index/moving-ai-governance-forward/⁠

⁠https://paperswithcode.com/sota/multi-task-language-understanding-on-mmlu⁠

⁠https://paperswithcode.com/dataset/mgsm⁠

⁠https://huggingface.co/blog/open-llm-leaderboard-drop⁠

⁠https://paperswithcode.com/sota/math-word-problem-solving-on-math⁠

⁠https://mmmu-benchmark.github.io/

author avatar
Alex Carlson

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