The Changelog: Software Development, Open Source
LMMS are the new LLMs (News)
Oct 16, 2023
Discover the latest in multimodal machine learning and the impressive Zima board for home servers. Listen to insights from the AI Engineer Summit, tackling the multifaceted challenges of AI development. Learn about practical configurations for VSCode that can enhance your coding experience. The discussion also emphasizes the shift towards large multimodal models for diverse data handling, setting the stage for future innovations.
06:28
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Quick takeaways
- Incorporating multimodal data into AI models is crucial for effective performance and better aligning with how humans interact with various modalities.
- The Zimaboard is a highly recommended option for creating a home server setup due to its affordability, sleek design, and satisfactory performance.
Deep dives
The Importance of Multimodal Data in AI
Chip Huyan emphasizes the significance of incorporating multimodal data into AI models. She explains that while traditional ML models operated in a single modality, humans interact with multiple modalities such as text, images, audio, and more. Large multimodal models (LMMs) are being developed by major organizations like DeepMind, Salesforce, Microsoft, Tencent, and OpenAI, with GPT being an example of an LMM. Chip's extensive post provides valuable insights into the shifting landscape of large data models.
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