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Inflection AI Introduces Inflection-2, Outperforms Llama 2 and PaLM 2
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Inflection AI Introduces Inflection-2, Outperforms Llama 2 and PaLM 2
Llama Who?

Inflection AI Introduces Inflection-2, Outperforms Llama 2 and PaLM 2

This newly-released model is set to be integrated into Pi soon

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Key takeaways

  • Inflection AI launches Inflection-2, outperforming Llama 2 and PaLM 2 in key benchmarks.
  • Inflection-2 set to integrate into the chatbot Pi, enhancing its capabilities.
  • Model trained on 5,000 NVIDIA H100 GPUs, showcasing advanced processing power.
  • Inflection-2 excels in cost-effectiveness and performance across various AI tasks.
  • Despite strong performance, it still trails significantly behind GPT-4 in certain benchmarks.

Inflection-2 is trained on 5,000 NVIDIA H100 GPUs in fp8 mixed precision, amounting to approximately 10²⁵ FLOPs. This newly-released model is set to be integrated into Pi, the chatbot introduced by Inflection in May. Inflection maintains close partnerships with Microsoft, Nvidia, and CoreWeave for the management of its compute cluster. 

Inflection-2 outperformed the largest, 70 billion parameter version of LLaMA 2, Elon Musk’s xAI startup Grok-1, Google’s PaLM 2 Large, and startup Anthropic’s Claude 2, trailing only behind GPT-4 in the MMLU task.

The company stated that, despite math and code benchmarks not being explicit focuses, Inflection-2 performed well across four of them. However, on the two benchmarks for which OpenAI has shared results, it notably trailed GPT-4 by a considerable margin.

It also performed best on two of three questions-and-answers task benchmarks, losing to PaLM 2 Large in one. 

Inflection-2 offers improved cost-effectiveness and speed compared to Inflection-1, despite its larger size. The transition from A100 to H100 GPUs, coupled with a highly optimized inference implementation, contributed to this achievement. Moreover, Inflection AI looks forward to training even larger models using the full capacity of our 22,000 GPU cluster.

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