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nomadicsynth

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reacted to openfree's post with πŸ‘€ 2 days ago
πŸŽ™οΈ Voice Clone AI Podcast Generator: Create Emotionally Rich Podcasts with Your Own Voice! πŸš€ Project Introduction Hello! Today we're excited to introduce an AI-powered solo podcast generator that creates high-quality voice cloning with authentic emotional expression. Transform any PDF document, web URL, or keyword into a professional podcast with just a few clicks! πŸ“šβž‘οΈπŸŽ§ https://huggingface.co/spaces/VIDraft/Voice-Clone-Podcast ✨ Key Features 1. 🎯 Multiple Input Methods URL: Simply paste any blog or article link PDF: Upload research papers or documents directly Keyword: Enter a topic and AI searches for the latest information to create content 2. 🎭 Emotionally Expressive Voice Cloning Powered by Chatterbox TTS: 🎀 Voice Cloning: Learn and replicate your unique voice perfectly πŸ“’ Natural intonation and emotional expression 🌊 Customizable emotion intensity with Exaggeration control ⚑ Seamless handling of long texts with automatic chunking 3. πŸ€– State-of-the-Art LLM Script Generation Professional-grade English dialogue using Private-BitSix-Mistral 12 natural conversational exchanges Real-time web search integration for up-to-date information Fully editable generated scripts! ✏️ πŸ’‘ Use Cases πŸ“– Educational Content Transform complex research papers into easy-to-understand podcasts Create English learning materials in your own voice πŸ“° News & Information Convert international articles into engaging audio content Produce global trend analysis podcasts 🎨 Creative Content Tell stories in English with your own voice Build your global personal brand with custom audio content πŸ› οΈ Tech Stack 🧠 LLM: Llama CPP + Private-BitSix-Mistral πŸ—£οΈ TTS: Chatterbox (Voice Cloning & Emotional Expression) πŸ” Search: Brave Search API πŸ“„ Document Processing: LangChain + PyPDF πŸ–₯️ Interface: Gradio πŸŽ‰ What Makes Us Special 🎀 Voice Cloning: Perfect voice replication from just a short audio sample 😊 Emotion Contro πŸ“ Unlimited Length πŸ”„ Real-time Updates
reacted to clefourrier's post with πŸ‘€ 8 days ago
Saying Claude 4 is "the best coding model in the world" from the SWEBench scores is super misleading, and here is why: If you look at the announcement table, their model has the best scores, but... if you look at the very bottom, in font 4, you'll see that the metric they report is actually not the same metric as the one used for the other models! Comparing "pass@1 averaged 10 times" to "normal pass@1" is like grading one student by allowing them to take the test 10 times and averaging question scores, when the other students only get one chance at grading. The first way to grade (avg@10) is actually quite good statistically, much better than what model creators usually report, because models tend to be quite inconsistent - sometimes good, sometimes bad... But! You want to do it for all models then, and report with error bars. The issue is that, if you do... well, it's going to be harder to say your model is the best, because the error bars will overlap between models, by a lot. Also, you'll see that 2 numbers are reported: the first one is using avg@10 (what I explained above), and the second, highest one is using this plus many other tricks: - test time compute (so having the model generate a tree of answers and selecting the best as you go, more or less) - removing the times when the model breaks the tests - and using another model to select the most promising solution! You can't really say it's better than the rest, mostly because it's **way less efficient** to achieve a similar result. It's honestly a bit sad because from user reports, the model sounds good - however, this announcement is overblown numbers wise, and I'm quite sure it's more a problem of "too much marketing" than of "bad science" Another thing which makes the comparison invalid is the complete absence of open source from the report - don't think they are aware of DeepSeek/ Qwen/The new mistral for code/and all the cool specialised models found on the hub?
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2651
Anyone using AI and ML to help neurodivergent people? I'd love to hear what you're doing.
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360
How do you talk about AI’s promise without sounding like you’re selling out to the next tech gold rush?