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LMMS are the new LLMs (Changelog News #66)

Oct 16, 2023

06:28

Snipd AI

Chip Huyen explores the shifting sand of large data models, Herman Õunapuu reviews the Zimaboard, Bryan Braun shares recent VSCode configuration discoveries, and Swizec Teller summarizes the inaugural AI Engineer Summit.

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Quick takeaways

Incorporating multiple modalities into machine learning models is crucial for effective AI in the real world, with a shift from single modality models to large multimodal models (LLMs) being embraced by organizations like DeepMind and OpenAI.

The Zimaboard, a small single board computer, offers a polished design, impressive features, and a pre-attached case and cooling setup, making it a great option for a home server setup.

Deep dives

The Importance of Multimodal Data in AI

Chip Huyan explains that incorporating multiple modalities, like text, image, and audio, into machine learning models is crucial for AI to operate effectively in the real world. She highlights the shift from single modality models to large multimodal models (LLMs). Various organizations, including DeepMind, Salesforce, Microsoft, Tencent, and OpenAI, have already embraced LLMs, with OpenAI's GPT being an example. Chip's detailed post on the topic provides valuable insights into this evolving field.

Shifting from LLMs to LMMs and Introducing the Zimaboard

2min

A Comparison, Sponsored News, VS Code Tips, and AI Engineer Summit

4min

Chip Huyen documents the shifting sand of large data models, Herman Õunapuu reviews the Zimaboard, Bryan Braun shares 4 of his most recent VSCode configuration discoveries & Swizec Teller wrote a great summary of the inaugural AI Engineer Summit.

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