Artificial Intelligence && Deep Learning

Are you struggling with invoking functions, passing arguments, or handling return values in Large Language Models (LLMs)?

Whether you’re a seasoned developer or just starting your journey in Gen AI.

In this session, we’ll explore the fascinating world of invoking functions using LLMs.

1. Introduction to LLMs.
2. Function Calls: Basics and Syntax.
3. Live Coding Examples.
4. Q&A Session.

Register For Free:
🗓 Date: 14th June, Friday
⏰ Time: 9 PM, IST
🔗 Link : https://www.buildfastwithai.com/events/function-calling-with-llms

🌟 Join Our Team as a Senior Data Researcher at Wunder Fund! 🌟

🚀 Location: Remote/Relocation to various countries
💸 Salary: $5k-$7k+ per month (USD or Crypto)

At wunderfund.io we've been in the HFT trading game since 2014 and our daily trading volume is around $8B. We're looking for a Senior Data Researcher to lead our neural networks direction.

👾What You’ll Do:

- Train models, test hypotheses, and achieve maximum model accuracy
- Work with top-tier programmers, mathematicians, and physicists

🤓What You Will Need:

- Proficiency in Python and Mathematics
- Experience with Kaggle (Master/Grandmaster)
- Success in training transformers and LSTM

🌐 Learn More & Apply

🚀 Introducing Emotion Recognition with ONNX Runtime!

Transform your projects with real-time face detection and emotion recognition. Dive into our latest repo and see the magic unfold!

🌟 Key Features:

* Real-time face detection with ONNX models.
* Accurate emotion recognition from detected faces.
* Live visualization of emotion scores.

⭐️ Star our repo and elevate your AI projects: Emotion Recognition on GitHub


Join us on this exciting journey and let’s push the boundaries of AI together! 🚀👩‍💻👨‍💻

✅ https://github.com/Shohruh72

✅ https://t.me/deeplearning_ai

FREE Machine Learning & Artificial Intelligence Certified Courses
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Hope you like it 😀

🔍 Discover the Power of Fine-Grained Gaze Estimation with L2CS-Net! 🌟

🚀 Key Features:
✅Advanced Architecture: Built using state-of-the-art neural network structures.
✅Versatile Utilities: Packed with utility functions and classes for seamless integration.
✅Robust Data Handling: Efficient data loading, preprocessing, and augmentation.
✅Comprehensive Training & Testing: Easy-to-follow scripts for training and testing your models.

👀 Live Demo:
Visualize the power of L2CS-Net with your own video:


🌟 Join Us:
Star our repo on GitHub and be part of the innovative community pushing the boundaries of gaze estimation. Your support drives us forward!

🔗 GitHub Repository

Let's advance gaze estimation together! 🚀🌐 #GazeEstimation #DeepLearning #AI #MachineLearning #ComputerVision

🚀 Explore SCRFD: High-Efficiency, High-Accuracy Face Detection 🚀


Unlock next-level face detection capabilities with SCRFD – efficiency and accuracy in one solution!


📈 Performance at a Glance:

✅Model range: SCRFD_500M to SCRFD_34G
✅Accuracy up to 96.06%
✅Inference as fast as 3.6 ms

🔍 Explore more and consider starring our repo for updates:
--- GitHub Repository.
--- Paper



#AI #MachineLearning #FaceDetection #TechInnovation #DeepLearning

✅ https://t.me/deeplearning_ai

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.

🔍 Introducing UniRef++: Advanced Object Segmentation in Spatial and Temporal Domains
🚀 Key Features:

Unified Model: UniRef++ seamlessly handles segmentation tasks:
✅Referring Image Segmentation (RIS)
✅Few-Shot Segmentation (FSS)
✅Referring Video Object Segmentation (RVOS)
✅Video Object Segmentation (VOS)

Core Component: UniFusion module
✅Integrates reference information efficiently
✅Utilizes flash attention for high efficiency

Compatibility: Acts as a plug-in for foundational models like SAM

🌐 UniRef++ is the official extended implementation from ICCV 2023's UniRef.

Stay tuned for more updates!

👉 Code: https://github.com/FoundationVision/UniRef
🤨 Paper: [Paper link]

✅ https://t.me/deeplearning_ai

🛞 6Img-to-3D driving scenarios 🛞

👮‍♀️ EPFL (+ Continental) unveils 6Img-to-3D, novel transformer-based encoder-renderer method to create 3D onbounded outdoor driving scenarios with only six pics

🥺 Review: https://shorturl.at/dZ018

🤨 Paper: arxiv.org/pdf/2404.12378.pdf

👉 Project: 6img-to-3d.github.io/

👉 Code: github.com/continental/6Img-to-3D

✅ https://t.me/deeplearning_ai

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

Introducing ECoDepth: The New Benchmark in Diffusive Mono-Depth

From the labs of IITD, we unveil ECoDepth - our groundbreaking SIDE model powered by a diffusion backbone and enriched with ViT embeddings. This innovation sets a new standard in single image depth estimation (SIDE), offering unprecedented accuracy and semantic understanding.

Key Features:

✅Revolutionary MDE approach tailored for SIDE tasks
✅Enhanced semantic context via ViT embeddings
✅Superior performance in zero-shot transfer tasks
✅Surpasses previous SOTA models by up to 14%

Dive into the future of depth estimation with ECoDepth. Access our source code and explore the full potential of our model.

📖 Read the Paper
💻 Get the Code

#ArtificialIntelligence #MachineLearning #DeepLearning #ComputerVision #AIwithPapers #Metaverse

join our community:
👉 @deeplearning_ai

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/DataScienceM

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📢 FREE TRAINING:
Navigating the Landscape of MLOps & LLMOps 🚀

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

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3️⃣ Explore the latest MLOps tools.
4️⃣ Real-time interaction with expert instructors.

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👥 Share with fellow ML enthusiasts! 🚀✨

Data Science, Machine Learning & Artificial Intelligence Certification for FREE in 2024

Amazing new year gifts for my subscribers

🎁 Free Data Science Books
🎁 Machine Learning Handwritten Notes
🎁 Python Free Learning Resources
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🎁 Build Chatbots using LLM
🎁 Learn Generative AI
🎁 Free Coding Certified Courses

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Send ❤️ if you need more free resources

🌟 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