Learn to deploy Gen Ai Models to production 👇

**MLOps Masterclass

Productionizing Generative AI models, Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy**

Schedule:
May 25th (Sat) & 26th (Sun), 10AM to 3:30 PM

Register Now👇****https://bit.ly/mlops-masterclass

*🔥 Limited Seats Available!*

☎️ Contact:
Sarath Kumar
+918940876397 / +918778033930

India's Largest Free Webinar on LLMs especially focused on the recently released LLAMA-3 by Meta.

How do you use these models?
How can you create apps with them?

Join our free workshop on to learn how to use Llama 3 and create apps with it.

Register here: https://www.buildfastwithai.com/events/llama-3-deep-dive

You can connect with Founder;
https://www.linkedin.com/in/satvik-paramkusham/

This Event is especially designed for people interested in the field of AI, ML, GenAI & LLMs.

**Neural Bodies with Clothes: Overview

Introduction:** Neural-ABC, a cutting-edge parametric model developed by the University of Science & Technology of China, innovatively represents clothed human bodies.

Key Features:

✅Novel approach for modeling clothed human figures.
✅Unified framework accommodating various clothing types.
✅Consistent representation of both body and clothing.
✅Enables seamless modification of identity, shape, clothing, and pose.
✅Extensive dataset with detailed clothing information.

Explore More:
*💻Project Details: Discover More
*📖Read the Paper: Access Here💻Source Code: Explore on GitHub
Relevance:** #artificialintelligence #machinelearning #AI #deeplearning #computervision

join our community:
👉@deeplearning_ai

🌟 **Discover 6DRepNet: The Ultimate Head Pose Estimation Model!

Features:
State-of-the-art accuracy
Comprehensive tools for training, testing, and *inference Easy setup with conda
* Supports multiple datasets

Watch the performance showcase on GitHub for future advancements.[Source Code] [Paper]join our community:
👉 @deeplearning_ai

EfficientViT - SAM:69x Faster SAM: Multi-Scale Linear Attention for High-Resolution Dense Prediction

1. Channel: @deeplearning_ai

2.Source Code: https://github.com/mit-han-lab/efficientvit

1. Paper: https://arxiv.org/abs/2402.05008

📢 FREE TRAINING: Master MLOps for ML deployment and operations on AWS, Azure, GCP & open-source tools! 🚀

🔥 Join our FREE MLOps course demo and acquire essential skills for AI and data science across Multicloud 🚀

👉 Reserve your seat now:
https://bit.ly/mlops-webinar *🌟 What you'll gain:*1️⃣ ML model deployment techniques on AWS, Azure, GCP & open source.
2️⃣ Efficient data management insights.
3️⃣ Explore the latest MLOps tools.
4️⃣ Real-time interaction with expert instructors.

🚩 Limited spots available! Don't miss out!👉 Enroll now:
https://bit.ly/mlops-webinar👥 Share with fellow ML enthusiasts! 🚀*✨***

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Generative Models by Stability AI

source code: https://github.com/stability-ai/generative-models

paper: https://static1.squarespace.com/static/6213c340453c3f502425776e/t/655ce779b9d47d342a93c890/1700587395994/stable_video_diffusion.pdf

provided a streamlit demo for text-to-image and image-to-image sampling in scripts/demo/sampling.py. They provide file hashes for the complete file as well as for only the saved tensors in the file ( see Model Spec for a script to evaluate that).

join our community:
👉 @deeplearning_ai