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Yogesh Jamdade

.....ย โ€ขย 11m

Tools for machine learning: TensorFlow: Powering Machine Learning What it is:TensorFlow is an open-source platform for building machine learning models. Key benefits: Flexible: Build various models, from simple to complex. Scalable:Handles large datasets and complex models efficiently. Open-source: Extensive resources and a large community for support. TensorFlow empowers you to build intelligent applications!

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Pranjal Pandey

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Here are some AI tools which are useful for the startups: 1. TensorFlow and PyTorch: Open-source frameworks for building machine learning models. 2. IBM Watson: Offers AI tools and services like natural language understanding and computer vision.

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Yogesh Jamdade

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Tools for developers: Unleash Machine Learning with Colab (Free!) Google Colab lets you explore machine learning without needing a fancy computer. It's free, cloud-based, and runs on powerful servers. Train complex models and analyze massive data

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Bhoop singh Gurjar

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Day 2/100 : free AI resources sharing topic of day : machine learning Books โœ“Machine Learning For Absolute Beginnersย by Oliver Theobald https://mrce.in/ebooks/Machine%20Learning%20for%20Absolute%20Beginners.pdf โœ“Hands-On Machine Learning with

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Bhoop singh Gurjar

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Excited to dive into Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow Machine learning is evolving rapidly, and this book is a goldmine for anyone looking to build intelligent systems using the latest tools and frameworks. From Scikit

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Chamarti Sreekar

Passionate about Pos...ย โ€ขย 4m

this is why open source wins. closed models are only gonna get more restrictive over time.

4 replies15 likes

Tiime

Hey I am on Medialย โ€ขย 7m

Best Open Source LLM:Tencent Hunyuan-Large: The 389 Billion Parameter Model Outperforming Llama 3 and DeepSeek V2

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Mohit Singh

18yo โœจ #developer le...ย โ€ขย 1y

Meta, formerly Facebook, has unveiled two new open-source AI models called Llama 3 8B and Llama 3 70B, with 8 billion and 70 billion parameters respectively. ๐Ÿš€ These models outperform some rivals and spark debate over open versus closed source AI de

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Om Raut

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Will AI hit a wall? ๐Ÿค” Future advanced models need complex dataโ€”but is there enough available? Or are we running out of high-quality training data? Whatโ€™s the solution? More synthetic data? Better datasets? Discuss! โฌ‡๏ธ

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Aroneo

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Tech giants like Google, Microsoft, Amazon, and Facebook are major contributors to open source projects such as Kubernetes, React, and TensorFlow. Their involvement provides resources, governance, and wider adoption but raises concerns about control

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Chamarti Sreekar

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Bhavish Aggarwalโ€™s AI startup, Krutrim AI, has begun hosting Chinese GenAI company DeepSeekโ€™s open-source models on its cloud platform. Five models, ranging from 8 billion to 70 billion tokens, are now live on Indian servers at the worldโ€™s lowest p

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