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Do you guys know devnagari language datasets to train an LLM models

Is our app going to be gamechanger in AI revolution? We are making an Private Emotional Wellness AI Companion. Runs LLM locally on device.

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 lar

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

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.

Train your Ai model for free here 👇 no. Technical skills required to do this. You can train an image,audio,pose models here...

I was just going through some AI news and damn ..... Snowflake Arctic, an enterprise-grade LLM that delivers top-tier performance in SQL generation, coding, and instruction-following benchmarks at a fraction of traditional costs!!! I also read that

🚀 Running Deepseek R1 1.5B on Ollama – AI at My Fingertips! 🤖🔥 Just set up and tested the Deepseek R1 1.5B model using Ollama, and I’m impressed with how seamless the experience is! This model is an efficient and capable LLM, and running it local

WHAT ARE YOUR THOUGHTS? What are your thoughts on buidling an application based purely on in-house resources and locally available infrastructure? I mean, why can one not build a server which is totally isolated at your own spot, under the same roo

Turn ANY Website into LLM Knowledge in SECONDS 🤯 Tired of LLMs with limited knowledge? 🧠 This video shows you how to easily scrape any website and turn it into a powerful knowledge base for your own custom AI agents. 🤖 We'll explore: * Crawl for