ImageBind Reviews and details
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Landing page //
2023-05-09
Social recommendations and mentions
We have tracked the following product recommendations or mentions on various public social media platforms and blogs.
They can help you see what people think about ImageBind and what they use it for.
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A Lightweight HuggingGPT Implementation w/ Langchain + Thoughts on Why JARVIS Fails to Deliver
In the approach described above, the main difference between the candidate models is their input/output modality. When can we expect to unify these models into one? The next-generation “AI power-up” for LLM Agents is a single multimodal model capable of following instructions across any input/output types. Combined with web search and REPL integrations, this would make for a rather “advanced AI”, and research in... Source: 12 months ago
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This Week in AI (5/14/23): US Army wants AI, Google ups their game, and the music wars continue
Google and OpenAI are increasingly restrictive on the research they share, but Meta is taking a different approach. This week: Meta released ImageBind, an AI model capable of “learning” from six different modalities, including depth, thermal, and inertia. Source: 12 months ago
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ImageBind discussion
This is an informative page about ImageBind. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.