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Well, know how is the most important for generative AI. Thanks for collecting all the needs into a one repo. Thank you guys!
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How to learn about efficient AI? - Happy to announce the Awesome AI Efficiency repo that gathers a curated list of 100+ materials to understand the challenges and solutions in making AI faster, smaller, cheaper, greener.
π It is designed for a **large audience** including beginners, decision-makers, engineers, and researchers.
π It contains **diverse materials** with newspaper articles, blogs, tools, tech reports, research papers, books, and lectures.
This is an ongoing project. Do not hesitate to share your feedback/suggestions and star the repo! π
https://github.com/PrunaAI/awesome-ai-efficiency
π It is designed for a **large audience** including beginners, decision-makers, engineers, and researchers.
π It contains **diverse materials** with newspaper articles, blogs, tools, tech reports, research papers, books, and lectures.
This is an ongoing project. Do not hesitate to share your feedback/suggestions and star the repo! π
https://github.com/PrunaAI/awesome-ai-efficiency
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A ton of impactful models and datasets in open AI past week, let's summarize the best π€©
merve/releases-apr-21-and-may-2-6819dcc84da4190620f448a3
π¬ Qwen made it rain! They released Qwen3: new dense and MoE models ranging from 0.6B to 235B π€― as well as Qwen2.5-Omni, any-to-any model in 3B and 7B!
> Microsoft AI released Phi4 reasoning models (that also come in mini and plus sizes)
> NVIDIA released new CoT reasoning datasets
πΌοΈ > ByteDance released UI-TARS-1.5, native multimodal UI parsing agentic model
> Meta released EdgeTAM, an on-device object tracking model (SAM2 variant)
π£οΈ NVIDIA released parakeet-tdt-0.6b-v2, a smol 600M automatic speech recognition model
> Nari released Dia, a 1.6B text-to-speech model
> Moonshot AI released Kimi Audio, a new audio understanding, generation, conversation model
π©π»βπ» JetBrains released Melium models in base and SFT for coding
> Tesslate released UIGEN-T2-7B, a new text-to-frontend-code model π€©
π¬ Qwen made it rain! They released Qwen3: new dense and MoE models ranging from 0.6B to 235B π€― as well as Qwen2.5-Omni, any-to-any model in 3B and 7B!
> Microsoft AI released Phi4 reasoning models (that also come in mini and plus sizes)
> NVIDIA released new CoT reasoning datasets
πΌοΈ > ByteDance released UI-TARS-1.5, native multimodal UI parsing agentic model
> Meta released EdgeTAM, an on-device object tracking model (SAM2 variant)
π£οΈ NVIDIA released parakeet-tdt-0.6b-v2, a smol 600M automatic speech recognition model
> Nari released Dia, a 1.6B text-to-speech model
> Moonshot AI released Kimi Audio, a new audio understanding, generation, conversation model
π©π»βπ» JetBrains released Melium models in base and SFT for coding
> Tesslate released UIGEN-T2-7B, a new text-to-frontend-code model π€©
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RiverZ/normal-lora
Image-to-Image
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unsloth/Qwen3-235B-A22B-GGUF
Text Generation
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HiDream-ai/HiDream-E1-Full
Any-to-Any
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ByteDance/AnimateDiff-Lightning
Text-to-Video
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Qwen/Qwen3-235B-A22B
Text Generation
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nari-labs/Dia-1.6B
Text-to-Speech
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Outputs differ from prompts
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#3 opened about 2 months ago
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