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Huge announcement from Meta. Welcome Llama 3.1🔥 This is all you need to know about it: The new models: - The Meta Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models

🚀 Hiring for Generative AI Engineer (Remote) 🚀 AI-based SaaS company in the health sector seeks Generative AI Engineer. Requirements: - 1-3 years of experience in Generative AI - Expertise in LLMs and Diffusion Models - Strong foundation in compu

Researchers at Google DeepMind introduced Semantica, an image-conditioned diffusion model capable of generating images based on the semantics of a conditioning image. The paper explores adapting image generative models to different datasets. Instea

Excited about the future of AI! Models like GPT-3 & GPT-4 are revolutionizing text generation, from automated writing to chat bots and content creation. The possibilities are endless.

Hello Guys , I am going to publish proper articles on topics like AI, Finance,Startups and different technologies etc. Today's start with : GPT Models And Uses for Startups and their examples Generative Pre-trained Transformer models (GPTs) are

Excited to share a preview of the AI Prescreening Assistant I’ve been developing! This tool prescreens candidates via calls and has incredible potential in Customer Support, Sales, and Marketing. Demo Video: https://youtu.be/0sWprEl4KnE?si=M1RDm28x

🔥 Introducing Mercury Coder – the world’s first diffusion-based language model! 🔥 Unlike traditional AI that predicts words one by one 👉 Mercury Coder starts with noise and gradually refines it into clear, coherent text. 💡 Developed by Inception

7 Powerful AI Project Ideas to Build Your Portfolio ✅ AI Chatbot – Create a custom chatbot using NLP libraries like spaCy, Rasa, or GPT API ✅ Fake News Detector – Classify real vs fake news using Natural Language Processing and machine learning ✅ Im

Top 10 AI Research Papers Since 2015 🧠 1. Attention Is All You Need (Vaswani et al., 2017) Impact: Introduced the Transformer architecture, revolutionizing natural language processing (NLP). Key contribution: Attention mechanism, enabling models

Retrieval-Augmented Generation (RAG) is a GenAI framework that enhances large language models (LLMs) by incorporating information from external knowledge bases, improving accuracy, relevance, and reliability of generated responses. Here's a more det