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Generative AI
2,780,596 Views · 4 years ago

In a quest to teach neural networks via transformers to write Python code. Project name: Generative Python Transformers!

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Generative AI
3,447,423 Views · 4 years ago

PyData New York City 2017

Slides: https://ericmjl.github.io/baye....sian-deep-learning-d

In this talk, I aim to do two things: demystify deep learning as essentially matrix multiplications with weights learned by gradient descent, and demystify Bayesian deep learning as placing priors on weights. I will then provide PyMC3 and Theano code to illustrate how to construct Bayesian deep nets and visualize uncertainty in their results. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

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Generative AI
2,576,280 Views · 4 years ago

【4K】WALK Fort Lauderdale LAS OLAS Beach FLORIDA USA 4k video

Walking in Fort Lauderdale's Las Olas Beach. This place is always fun, but specially on July 4th! Independence day is a party!

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Generative AI
3,621 Views · 3 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/docker-training (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on 𝐃𝐨𝐜𝐤𝐞𝐫 𝐚𝐧𝐝 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 will firstly give you a brief introduction to Docker and Kubernetes and why do we need it. Moving on, we will discuss the various components of Kubernetes and a demo on how to prepare the environment to set them up. Below are the topics covered in this Docker and Kubernetes Tutorial video :
00:01:30 What are Containers?
00:05:03 Introduction to Docker
00:12:05 Introduction to Kubernetes
00:16:46 Kubernetes Components
00:21:59 Kubernetes Benefits
00:27:17 Preparing the Environment
00:43:45 Case Study - Pinterest


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Generative AI
3,287 Views · 3 years ago

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Generative AI
3,818 Views · 3 years ago

In this tutorial you will learn everything you need to fine tune (train) your GPT-2 Model. By training the model on specific texts you can improve the results quality by a large margin. Fine Tuning your GPT-2 Model is quite easy and can be done in a few simple steps.

First you need to download the repository from Github. After that you need to create a training.txt file including the data on which your model should be trained on. The next step is to convert the file into an npz format from which you can then train the model. After the GPT-2 model has been trained you can then copy the files into your final model and just run the sample code.


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Generative AI
10 Views · 3 years ago

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In this video on "Angular JS Full Course 2023," We'll explain to you the Angular framework from basic to advance. From the angular Hello World programme to more advanced angular topics like routing in angular, this Angular Tutorial for Beginners video will cover every topic in angular. After covering main topics we will create a todo app using angular and last we will see some of the interview questions of angular. A complete front-end JavaScript framework called Angular is used to build single-page applications. Today's market has a high demand for angular developers. This video for the "Angular Full Course" will be very helpful if you want to learn Angular.

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Generative AI
7 Views · 3 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use Code: YOUTUBE20): https://www.edureka.co/devops-....certification-traini
Are you new to DevOps and eager to learn the fundamentals? 🚀 Join us on this DevOps Tutorial for Beginners, where we break down the core concepts and practices of DevOps in a beginner-friendly way. From understanding what DevOps is to exploring essential tools and best practices, this devops tutorial will kickstart your journey to becoming a DevOps pro. Whether you're a developer, sysadmin, or simply curious about DevOps. This DevOps Tutorial for Beginners is your gateway to a world of efficient software development and deployment. Let's dive in and master DevOps together!"
00:00 Introduction
01:06 Agenda
01:47 Why DevOps
06:02 What is DevOps
10:03 DevOps Phases
15:51 DevOps Tools
22:10 DevOps Advantages
23:48 Setting CI/CD Pipelines using jenkins

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For doubts & queries on DevOps, post the same on Edureka Community: https://www.edureka.co/community/devops

---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬----------

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- - - - - - - - - - - - - -

About the Course
Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you:

1. Understand the concepts and necessities of DevOps
2. Understand the need for DevOps and the day-to-day real-life problems it resolves
3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise
4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT
5. Implement automated system update, installations and deployments
6. Learn Virtualization Concepts
7. Configuration deployment and packaging, continuous integration using GIT
8. Fine tune Performance and set-up basic Security for Infrastructure
9. Manage server operations using Code which is popularly known as Infrastructure as a Code
10. Understand the need for and concepts of Monitoring and Logging.

Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools:

1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage. 2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server.

3: Puppet - Covers Puppet Infrastructure & run-cycle, the Puppet Language, Environment defining Nodes and Modules, Provisioning a Web Server and Executing Modules Against A Puppet Master.

- - - - - - - - - - - - - -

Who should go for this course?
DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are:

1. DevOps Architect
2. Automation Engineer
3. Software Tester
4. Security Engineer
5. Integration Specialist
6. Release Manager

- - - - - - - - - - - - - -

Project Work
1. Host a dummy webpage using Apache Web Server.
2. Write shell script which reports:
a) Various system configurations related to the user and the OS.
b) Data related to load on the server.
c) Top 5 processes with maximum number of threads.
d) Sort the services by memory
3. Install Nagios on a VM node for monitoring the various parameter of the VM.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Machine Learning
178 Views · 2 years ago

▶️ Intellipaat's Microsoft SQL Certification Training: https://intellipaat.com/micros....oft-sql-server-certi

This video on SQL interview questions and answers includes a list of 40 important questions to help you prepare for your SQL interview. You will learn the top practical and theoretical questions to help you brush up on your knowledge and get a sense of the types of questions that are frequently asked. You will work on MySQL and MS SQL Server to solve some interesting and challenging problems.

🔵 Why Learn SQL?
Structured Query Language (SQL) is a programming language that is used to communicate with and manipulate databases. Learning SQL can be useful for a number of reasons:

✅ SQL is a valuable skill for many jobs. Many companies use databases to store and organize data, and they need people who know how to work with this data using SQL.

✅ SQL is easy to learn. While it is a powerful programming language, it is also relatively easy to learn and use, especially compared to other programming languages.

✅ SQL is versatile. It can be used to work with a variety of databases, including MySQL, Oracle, and Microsoft SQL Server, making it a valuable skill for working with different types of systems.

✅ SQL is a standard. It is a standardized language that is used by many different database management systems, so learning SQL will allow you to work with a variety of different databases.

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Machine Learning
31 Views · 2 years ago

🔥Edureka Machine Learning Engineer Masters Program: https://www.edureka.co/masters....-program/machine-lea
This Edureka video on Machine Learning Python is a part of the Python Tutorial Series which will give you an introduction to Machine Learning. Python is a powerful language and is a widely used high-level language for general-purpose programming. With features like open-sourced, clear syntax, object-oriented, interpreted, and interactive programming language Python has become the number one choice when it comes to Machine learning. This Python Tutorial on Machine Learning Python also talks about how to implement machine learning algorithms in Python along with the topics like:
00:00 Introduction to Python Tutorial
00:54 Why Machine Learning with Python?
02:39 What is Machine Learning?
05:09 Types of Machine Learning
06:25 Supervised Learning
07:28 KNN algorithm
18:10 Unsupervised Learning
19:03 K-means Clustering Algorithm

Python Tutorial Playlist: https://goo.gl/Na1p9G
Python Tutorial Blog Series: https://goo.gl/wd28Zr

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About the ML Master's Program

Edureka’s Machine Learning Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

----------------------

Why Learn Machine Learning?

Machine Learning is a concept that allows the machine to learn from examples and experience, and that too without being explicitly programmed. So instead of you writing the code, what you do is you feed data to the generic algorithm, and the algorithm/machine builds the logic based on the given data.
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Edureka's Machine Learning Masters Program Curriculum

🟠 Live Courses 🟠
Python Programming Certification Course: https://www.edureka.co/python-....programming-certific
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Reinforcement Learning: https://www.edureka.co/reinfor....cement-learning-cour
Natural Language Processing with Python Certification: https://www.edureka.co/python-....natural-language-pro
Deep Learning with TensorFlow 2.0 Certification Training: https://www.edureka.co/ai-deep....-learning-with-tenso
Python Spark Certification Training using PySpark: https://www.edureka.co/pyspark....-certification-train

🟠 Elective Course 🟠
Python Scripting Certification Training: https://www.edureka.co/python-scripting

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Prerequisites

There are no prerequisites for enrollment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

Machine Learning
17 Views · 2 years ago

🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=a0MhvjTtCXk&utm_medium=DescriptionFirstFold&utm_source=Youtube
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In this video on chatgpt for developers unlock the potential of ChatGPT for your projects with this concise video guide. Learn the fundamentals, explore practical examples, and integrate AI seamlessly into your applications. Whether you're a novice or an expert, this tutorial will help you harness the power of ChatGPT to create dynamic and engaging user experiences.

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This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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Generative AI
12 Views · 2 years ago

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Generative AI
11 Views · 7 months ago

Try Notion for free → https://ntn.so/techwithtim

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Today I'm going to show you how to build an AI agent in Python in less than ten minutes.

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🎞 Video Resources 🎞
UV Video: https://www.youtube.com/watch?v=6pttmsBSi8M
Code in this video: https://github.com/techwithtim..../PythonAIAgentin10Mi

⏳ Timestamps ⏳
00:00 | Install & Setup
01:23 | OpenAI API Key
03:26 | Imports
04:42 | Tools
06:39 | LLM & Agent
07:43 | Driver Code
09:45 | Testing

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Generative AI
33 Views · 7 months ago

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
This is the ultimate AI full course for absolute beginners who want to understand and start building with Artificial Intelligence — step by step and from scratch.
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00:00:00 Introduction
00:01:48 What is Artificial Intelligence?
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00:28:00 What is Deep Learning?
00:39:13 What is LLM? (Large Language Model)
00:55:43 What is AI Ethics?
01:04:19 What is Responsible AI?
01:12:33 Artificial Intelligence with Python
02:51:29 Artificial Neural Network
03:23:17 Recurrent Neural Networks
03:52:09 Convolutional Neural Network
04:12:44 Introduction to TensorFlow
04:36:21 OpenAI o3-mini Model
04:43:33 Introduction to Midjourney
05:02:05 How to use Midjourney?
05:09:48 GitHub Copilot
05:27:07 What is Vibe Coding?
05:36:17 Top 5 AI Frameworks
05:51:02 How AI is Transforming Studio Ghibli-Style Animation?
05:56:29 AI in Web Development
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Machine Learning
1 Views · 24 hours ago

✅ Claim your FREE $499 Masterclass: Build & Sell Apps, AI Agents & Websites with AI https://mikeyno-code.com/Skool-base44

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In this video, I break down how I built an AI agent in 14 minutes as a beginner in 2026, showing a simple and practical workflow anyone can follow. You’ll learn how to build an AI agent step by step, including a beginner-friendly AI agent tutorial and how tools like n8n AI agent setups can be used to automate real tasks. Whether you're new to automation or exploring how modern AI agent systems work, this guide shows you how to get started quickly and build your first working AI agent.

00:00 - Intro: Building a Functional AI Agent in 14 Minutes
00:58 - Free AI App & Business Masterclass
01:37 - What is Base44? The No-Code AI Powered App Builder
02:16 - Getting Started: Dashboard Overview and Prompt Interface
02:48 - Understanding the Base44 Credit-Based Pricing Model
03:38 - Project Setup: Building a Full-Stack Task Management App
04:12 - Core Roadmap: Forms, Databases, and AI Agent Logic
05:23 - Feature 1: Building the Core Task Creation System
06:17 - The Exact AI Prompt for App Foundation & List View
07:16 - How to Build and Scale Profitable AI Businesses
08:25 - Feature 2: Adding Filters, Sorting, and Kanban Boards
09:38 - The Exact AI Prompt for App Organization & UI
10:20 - Feature 3: Adding a Progress Dashboard & Summary Cards
11:07 - The Exact AI Prompt for Dynamic Data Dashboards
11:59 - Feature 4: Enabling Secure User Authentication & Private Data
12:48 - The Exact AI Prompt for No-Code User Login Flows
13:30 - Feature 5: Integrating a Native AI Chat Assistant
14:36 - The Exact AI Prompt for Natural Language App Control
15:30 - Feature 6: Upgrading to a Dynamic Autonomous AI Agent
16:40 - The Exact AI Prompt for Context-Aware AI Agents
17:27 - Conclusion: Shifting from Writing Infrastructure to Building Products

For inquiries: Mikey (at) ytmedia.group




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