ImageBind
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Polymemo
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Polymemo is a multilingual content platform supporting 200+ languages. Authors post in their native language, and readers worldwide can read it in theirs. The platform features the world's first "translation investment" model โ readers fund translations and earn a share of future viewing revenue. Built-in AI assistant, DMs, group chat, communities, and organization features. No ads, point-based economy.
ImageBind PolymemoPolymemo's answer:
The world's first "translation investment" model. Readers fund translations of content they want to read and earn a share of future viewing revenue. This creates a sustainable, market-driven translation ecosystem supporting 200+ languages.
Polymemo's answer:
Unlike Medium or Substack, Polymemo is built for a global audience from day one. Your content is automatically accessible in 200+ languages, there are no ads, and the point-based economy ensures fair value exchange between authors and readers.
Polymemo's answer:
Content creators who want to reach a global audience regardless of language, multilingual readers seeking diverse perspectives, and translation investors looking for a new way to earn from content they help make accessible.
Polymemo's answer:
Built by a solo developer in Japan who believed that language should never be a barrier to sharing ideas. After seeing great content trapped in single languages, Polymemo was created to let anyone write to the world and read from the world.
Polymemo's answer:
Next.js, TypeScript, Supabase (PostgreSQL + Edge Functions), Capacitor for iOS/Android, Google Translation API for 244 languages, and Anthropic Claude AI for the built-in assistant.
Polymemo's answer:
Based on our record, ImageBind seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
With multimodal models such as TwelveLabs, Gemini Embedding, or ImageBind, you no longer need to decompose video into constituent parts. These models process video, audio, and context natively. They generate unified embeddings that capture complete content semantics in one operation. - Source: dev.to / 7 months ago
Another multi modal embedding is ImageBind from Meta, which supports text, images, and audio. - Source: dev.to / 12 months ago
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 โAI power-upโ 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 โadvanced AIโ, and research in... Source: about 3 years ago
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 โlearningโ from six different modalities, including depth, thermal, and inertia. Source: about 3 years ago
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
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