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Source channel @githubtrending · Post #14686 · May 8

#python#asr#deeplearning#generative_ai#large_language_models#machine_translation#multimodal#neural_networks#speaker_diariazation#speaker_recognition#speech_synthesis#speech_translation#tts NVIDIA NeMo is a powerful, easy-to-use platform for building, customizing, and deploying generative AI models like large language models (LLMs), vision language models, and speech AI. It lets you quickly train and fine-tune models using pre-built code and checkpoints, supports the latest model architectures, and works on cloud, data center, or edge environments. NeMo 2.0 is even more flexible and scalable, with Python-based configuration and modular design, making it simple to experiment and scale up. The main benefit is that you can create advanced AI applications faster, with less effort, and at lower cost, while getting high performance and easy deployment options[1][2][3]. https://github.com/NVIDIA/NeMo

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Venture Village Wall 🦄

@venturevillagewall · Post #3848 · 01/11/2025, 01:00 PM

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200M for Email Simplification App! In 2013, a startup created a user-friendly email app to combine personal and work emails, reducing clicks to complete tasks. Microsoft acquired the app for $200 million after 18 months. Initially, it reached 3 million users at launch, soaring to hundreds of millions three years later. The founder emphasized a goal to simplify, not reinvent, email—echoing Dropbox's approach of enhancing existing solutions. Glassnode notes a 49.6% increase in new investors controlling bitcoin supply, with long-term holders redistributing assets, though it's not seen as a bearish signal. Insights from tech analyst Ali Martinez suggest declining hype around AI agents, affecting specific token prices. Polymarket users estimate a 12% chance the US government will sell seized BTC before Trump's inauguration, with $6.5 billion at stake. #Email#Microsoft#Startup#Acquisition#Usability#Glassnode#Bitcoin#Investors#Crypto#AI#MarketTrends#Polymarket#BTC#Trading#Innovation#TechNews#VC#Fundraising#TechAnalytics#Distribution

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