Latent Space: The AI Engineer Podcast cover image

Latent Space: The AI Engineer Podcast

2024 in Open Models [LS Live @ NeurIPS]

Dec 23, 2024
Luca Soldaini, a research scientist at the Allen Institute for AI, and Sophia Yang, head of Developer Relations at Mistral AI, dive into the explosive rise of open models in 2024. They discuss breakthrough models like Llama 3 and the MOE model, highlighting the competitive dynamics in AI. Key challenges such as regulatory hurdles and limited training data access are explored. The conversation also emphasizes the need for collaboration and open-source methodologies to foster innovation in a rapidly evolving landscape.
42:24

Podcast summary created with Snipd AI

Quick takeaways

  • The significant rise in open models during 2024 indicates advancements that enhance their capabilities compared to those dominated by closed models in 2023.
  • The evolving regulatory landscape poses challenges for open model development, necessitating proactive engagement from the open source community to safeguard innovation.

Deep dives

Overview of Open Models in 2024

The exploration of open models in 2024 highlights a remarkable surge in the number and capabilities of these models compared to 2023. In the previous year, only a few predominant models, such as Llama and Mistral, led the field. However, in 2024, numerous new open models have emerged, including Google’s Gemma and Alibaba’s QN, demonstrating significant advancements that narrow the performance gap between open and closed models. This year represents a strong momentum in the development of open models, creating opportunities for research and practical applications across various domains.

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