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Run your own AI (but private) 121gamers 0 Views • 8 months ago

Run your own AI with VMware: https://ntck.co/vmware

Unlock the power of Private AI on your own device with NetworkChuck! Discover how to easily set up your own AI model, similar to ChatGPT, but entirely offline and private, right on your computer. Learn how this technology can revolutionize your job, enhance privacy, and even survive a zombie apocalypse. Plus, dive into the world of fine-tuning AI with VMware and Nvidia, making it possible to tailor AI to your specific needs. Whether you're a tech enthusiast or a professional looking to leverage AI in your work, this video is packed with insights and practical steps to harness the future of technology.

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PrivateGPT on WSL2 with GPU: https://medium.com/@docteur_rs..../installing-privateg

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- Setting up Private AI on your computer
- Offline AI models like ChatGPT
- Enhancing job performance with Private AI
- VMware and Nvidia AI solutions
- Fine-tuning AI models for specific needs
- Running AI without internet
- Privacy concerns with AI technologies
- Surviving a zombie apocalypse with AI
- VMware Private AI Foundation
- Nvidia AI enterprise tools
- Connecting knowledge bases to Private GPT
- Retrieval Augmented Generation (RAG) with AI
- Installing WSL for AI projects
- Running LLMs on personal devices
- VMware deep learning VMs
- Customizing AI with VMware and Nvidia
- Private GPT project setup
- Leveraging GPUs for AI processing
- Consulting databases with AI for accurate answers
- VMware's role in private AI development
- Intel and IBM partnerships with VMware for AI
- Running local private AI in companies
- NetworkChuck's guide to private AI
- Future of technology with private and fine-tuned AI

**00:00** - Introduction to Private AI and Setup Guide
**00:56** - VMware's Role in Private AI
**01:50** - Understanding AI Models and Exploring Hugging Face
**02:54** - Training and Power of AI Models
**04:24** - Installing Ollama for Local AI Models
**05:24** - Setting Up Windows Subsystem for Linux (WSL) for AI
**06:53** - Running Your First Local AI Model
**07:23** - Enhancing AI with GPUs for Faster Responses
**08:02** - Fun with AI: Zombie Apocalypse Survival Tips
**08:28** - Switching AI Models for Different Responses
**09:04** - Fine-Tuning AI with Your Own Data
**10:50** - VMware's Approach to Fine-Tuning AI Models
**12:53** - The Data Scientist's Workflow with VMware and NVIDIA
**15:23** - VMware's Partnerships for Diverse AI Solutions
**16:26** - Setting Up Your Own Private GPT with RAG
**18:08** - Bonus: Running Private GPT with Your Knowledge Base
**20:55** - The Future of Private AI and VMware's Solution
**21:28** - Quiz Announcement for Viewers

#vmware #privategpt #AI

How I Created Realistic AI Influencer from Scratch | AI Model 121gamers 2 Views • 8 months ago

❤️ *Fooocus in rundiffusion* ➜ https://wl.tools/rundiffusion
*Use Coupon code* : weblearners15

🏆 *GravityWrite* ➜ https://app2.gravitywrite.com/content/new?category=7&prompt=1659

🛍️ *Pexels* ➜ https://www.pexels.com/

💡 *Google colab Facefusion* ➜ https://colab.research.google.....com/drive/1P7SJHN-jz

👉 *Github Page* ➜ https://github.com/lllyasviel/Fooocus

🎈 *Fooocus Local Installation* ➜ https://www.youtube.com/watch?v=j1WuQndmgFE

⚡ *Google Colab Fooocus* ➜ https://colab.research.google.....com/github/lllyasvie

📌 *Get New Video Updates* ➜ https://whatsapp.com/channel/0....029VaAYBig7IUYaC6vcu

🎬𝗧𝗮𝗯𝗹𝗲 𝗼𝗳 𝗰𝗼𝗻𝘁𝗲𝗻𝘁𝘀

00:00 Intro

00:43 Fooocus Tool Intro

01:10 Installing Fooocus

01:40 Launch Fooocus on Run Diffusion

03:14 Generate the AI Character

05:53 Create Different Variations of your character

07:18 Extend the image, & get more background

07:50 Generate same AI character in different poses

08:51 Fix the face of your AI character

09:52 Create a video of your AI Character

Ever dreamed of having your own AI influencer to promote your brand or content? This video uncovers the secrets to building a captivating AI character from the ground up!
One of the biggest challenges with AI influencers? Maintaining consistent character design. But fear not! We'll be using a powerful tool that tackles this exact issue. By the end of this video, you'll be equipped to create your own captivating AI influencer with a consistent look that will grab attention on platforms like Instagram and YouTube Reels!

Subscribe for more cutting-edge content creation tutorials! And don't forget to share your AI creations in the comments below!

#aiinfluencer #artificialintelligence #digitalmarketing #aitechnology #aiinfluencercreation #realmakingai #technology #ai #influencer #createaifromscratch #digitalpersona #aiforcontent #futureofai #aitech #techinfluencer #aimodeltutorial #aidigitalmarketing #contentcreation #futuretech #learnai

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Deep Learning for Computer Vision with Python and TensorFlow – Complete Course 121gamers 6 Views • 8 months ago

Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow.

Author: Folefac Martins from Neuralearn.ai
More Courses: www.neuralearn.ai
Link to Code: https://colab.research.google.....com/drive/18u1KDx-96
YouTube Channel: https://www.youtube.com/@neuralearn

⭐️ Contents ⭐️

Introduction
⌨️ (0:00:00) Welcome
⌨️ (0:05:54) Prerequisite
⌨️ (0:06:11) What we shall Learn

Tensors and Variables
⌨️ (0:12:12) Basics
⌨️ (0:19:26) Initialization and Casting
⌨️ (1:07:31) Indexing
⌨️ (1:16:15) Maths Operations
⌨️ (1:55:02) Linear Algebra Operations
⌨️ (2:56:21) Common TensorFlow Functions
⌨️ (3:50:15) Ragged Tensors
⌨️ (4:01:41) Sparse Tensors
⌨️ (4:04:23) String Tensors
⌨️ (4:07:45) Variables

Building Neural Networks with TensorFlow [Car Price Prediction]
⌨️ (4:14:52) Task Understanding
⌨️ (4:19:47) Data Preparation
⌨️ (4:54:47) Linear Regression Model
⌨️ (5:10:18) Error Sanctioning
⌨️ (5:24:53) Training and Optimization
⌨️ (5:41:22) Performance Measurement
⌨️ (5:44:18) Validation and Testing
⌨️ (6:04:30) Corrective Measures

Building Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (6:28:50) Task Understanding
⌨️ (6:37:40) Data Preparation
⌨️ (6:57:40) Data Visualization
⌨️ (7:00:20) Data Processing
⌨️ (7:08:50) How and Why ConvNets Work
⌨️ (7:56:15) Building Convnets with TensorFlow
⌨️ (8:02:39) Binary Crossentropy Loss
⌨️ (8:10:15) Training Convnets
⌨️ (8:23:33) Model Evaluation and Testing
⌨️ (8:29:15) Loading and Saving Models to Google Drive

Building More Advanced Models in Teno Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (8:47:10) Functional API
⌨️ (9:03:48) Model Subclassing
⌨️ (9:19:05) Custom Layers

Evaluating Classification Models [Malaria Diagnosis]
⌨️ (9:36:45) Precision, Recall and Accuracy
⌨️ (10:00:35) Confusion Matrix
⌨️ (10:10:10) ROC Plots

Improving Model Performance [Malaria Diagnosis]
⌨️ (10:18:10) TensorFlow Callbacks
⌨️ (10:43:55) Learning Rate Scheduling
⌨️ (11:01:25) Model Checkpointing
⌨️ (11:09:25) Mitigating Overfitting and Underfitting

Data Augmentation [Malaria Diagnosis]
⌨️ (11:38:50) Augmentation with tf.image and Keras Layers
⌨️ (12:38:00) Mixup Augmentation
⌨️ (12:56:35) Cutmix Augmentation
⌨️ (13:38:30) Data Augmentation with Albumentations

Advanced TensorFlow Topics [Malaria Diagnosis]
⌨️ (13:58:35) Custom Loss and Metrics
⌨️ (14:18:30) Eager and Graph Modes
⌨️ (14:31:23) Custom Training Loops

Tensorboard Integration [Malaria Diagnosis]
⌨️ (14:57:00) Data Logging
⌨️ (15:29:00) View Model Graphs
⌨️ (15:31:45) Hyperparameter Tuning
⌨️ (15:52:40) Profiling and Visualizations

MLOps with Weights and Biases [Malaria Diagnosis]
⌨️ (16:00:35) Experiment Tracking
⌨️ (16:55:02) Hyperparameter Tuning
⌨️ (17:17:15) Dataset Versioning
⌨️ (18:00:23) Model Versioning

Human Emotions Detection
⌨️ (18:16:55) Data Preparation
⌨️ (18:45:38) Modeling and Training
⌨️ (19:36:42) Data Augmentation
⌨️ (19:54:30) TensorFlow Records

Modern Convolutional Neural Networks [Human Emotions Detection]
⌨️ (20:31:25) AlexNet
⌨️ (20:48:35) VGGNet
⌨️ (20:59:50) ResNet
⌨️ (21:34:07) Coding ResNet from Scratch
⌨️ (21:56:17) MobileNet
⌨️ (22:20:43) EfficientNet

Transfer Learning [Human Emotions Detection]
⌨️ (22:38:15) Feature Extraction
⌨️ (23:02:25) Finetuning

Understanding the Blackbox [Human Emotions Detection]
⌨️ (23:15:33) Visualizing Intermediate Layers
⌨️ (23:36:20) Gradcam method

Transformers in Vision [Human Emotions Detection]
⌨️ (23:57:35) Understanding ViTs
⌨️ (24:51:17) Building ViTs from Scratch
⌨️ (25:42:39) FineTuning Huggingface ViT
⌨️ (26:05:52) Model Evaluation with Wandb

Model Deployment [Human Emotions Detection]
⌨️ (26:27:13) Converting TensorFlow Model to Onnx format
⌨️ (26:52:26) Understanding Quantization
⌨️ (27:13:08) Practical Quantization of Onnx Model
⌨️ (27:22:01) Quantization Aware Training
⌨️ (27:39:55) Conversion to TensorFlow Lite
⌨️ (27:58:28) How APIs work
⌨️ (28:18:28) Building an API with FastAPI
⌨️ (29:39:10) Deploying API to the Cloud
⌨️ (29:51:35) Load Testing with Locust

Object Detection with YOLO
⌨️ (30:05:29) Introduction to Object Detection
⌨️ (30:11:39) Understanding YOLO Algorithm
⌨️ (31:15:17) Dataset Preparation
⌨️ (31:58:27) YOLO Loss
⌨️ (33:02:58) Data Augmentation
⌨️ (33:27:33) Testing

Image Generation
⌨️ (33:59:28) Introduction to Image Generation
⌨️ (34:03:18) Understanding Variational Autoencoders
⌨️ (34:20:46) VAE Training and Digit Generation
⌨️ (35:06:05) Latent Space Visualization
⌨️ (35:21:36) How GANs work
⌨️ (35:43:30) The GAN Loss
⌨️ (36:01:38) Improving GAN Training
⌨️ (36:25:02) Face Generation with GANs

Conclusion
⌨️ (37:15:45) What's Next

Python Project: Tic Tac Toe Game in Python 🔥 121gamers 7 Views • 8 months ago

Today we are going to create a tic tac toe game using the python programming language. This video will teach you the way to create a nice and easy playable tic tac toe game in python!
All the source code and other material will be uploaded on https://codewithharry.com as and when available!
Source Code: https://gist.github.com/CodeWi....thHarry/d83fed6958b7
►Checkout my English channel here: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
►Instagram: www.instagram.com/codewithharry

python, C, C++, Java, JavaScript and Other Cheetsheets [++]:
Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

►Learn in One Video[++]:
Python[15 Hr] - https://www.youtube.com/watch?v=gfDE2a7MKjA&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python Advance[3.5 Hr] - https://www.youtube.com/watch?v=61a7UkDO50s&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[1 Hr] - https://www.youtube.com/watch?v=qHJjMvHLJdg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[2 Hr] - https://www.youtube.com/watch?v=ihk_Xglr164&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[15 Min] -https://www.youtube.com/watch?v=fr1f84rg4Nw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JavaScript[1 Hr] - https://www.youtube.com/watch?v=onbBV0uFVpo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
C[1.3 Hr]-https://www.youtube.com/watch?v=YXcgD8hRHYY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[1 Hr] - https://www.youtube.com/watch?v=xW7ro3lwaCI&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[2.3 Hr] -https://www.youtube.com/watch?v=1SnPKhCdlsU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[Project]- https://www.youtube.com/watch?v=-al2bECumKg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
HTML[30 Min] -https://www.youtube.com/watch?v=E3ByCRqE7Lo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[8.5 Hr] -https://www.youtube.com/watch?v=Edsxf_NBFrw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[1.4 Hr] -https://www.youtube.com/watch?v=u5-K_ua9sOw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Wordpress[3.2 Hr] -https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr] -https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Java[2.3 Hr] -https://www.youtube.com/watch?v=rV_3Lewxx6o&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Web Scraping[1 Hr] -https://www.youtube.com/watch?v=uufDGjTuq34&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
MongoDB[2 Hr] -https://www.youtube.com/watch?v=oSIv-E60NiU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Numpy[1 Hr] -https://www.youtube.com/watch?v=Rbh1rieb3zc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Android Dev[12 Hr]- https://www.youtube.com/watch?v=mXjZQX3UzOs
Linux[1 Hr] -https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JQuery[1.1 Hr] -https://www.youtube.com/watch?v=YFlx1C8XwR0&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Git and GitHub[1.1 Hr] -https://www.youtube.com/watch?v=gwWKnnCMQ5c&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7

►Complete course [playlist]:
React - https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
OOP Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Java -https://www.youtube.com/playli....st?list=PLu0W_9lII9a
JavaScript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
PHP-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C++-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Git & GitHub-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Android Dev- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python GUI- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Web Development- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python Django -https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Projects Using HTML, CSS & Javascript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Data Structure and Algo -https://www.youtube.com/playli....st?list=PLu0W_9lII9a

Follow Me On Social Media
►Website (created using Django Rest & Angular) - https://www.codewithharry.com
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Comment "#HarryBhai" if you read this 😉😉