Thinking Machines Lab Drops Its First Model
Evolving story · 3 updatesThinking Machines' Open-Weight Model, InklingTimeline →Thinking Machines Lab has released Inkling, a 975-billion-parameter open source model trained on video and audio data. This launch aims to position the company as a competitor to major AI players.
- Thinking Machines Lab has launched its first AI model, Inkling.
- Inkling is an open source model with 975 billion parameters.
- The model is trained to understand video and audio data.
- This release positions Thinking Machines as a competitor to major AI companies.
Thinking Machines Lab has entered the competitive AI landscape with the release of its first model, Inkling. This open source model boasts an impressive 975 billion parameters and has been specifically trained to process and understand video and audio inputs.
The launch of Inkling is a significant step for Thinking Machines, aiming to establish its presence alongside established leaders such as Anthropic and OpenAI. By releasing a powerful, open source model, the lab seeks to attract developers and researchers, fostering collaboration and innovation.
Inkling's capabilities in handling multimodal data like video and audio suggest potential applications in areas ranging from content analysis to advanced media processing, marking a notable development in the open source AI community.
Provides a large, open source multimodal model for experimentation and building applications.
Offers potential for new AI-powered video and audio analysis tools.
Indicates a new player entering the competitive AI model development space.
A new resource for learning about and working with large-scale AI models.
A significant new open source AI model enters the market.
- parameters
- The variables a machine learning model learns from training data, determining its complexity and capability.
- open source
- Software or models whose source code is made publicly available for use, modification, and distribution.
- multimodal
- AI models capable of processing and understanding information from multiple types of data, such as text, images, audio, and video.
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