In this video, we'll explore the risks and opportunities associated with large language models (LLMs). We'll discuss the potential benefits of LLMs, including their ability to improve natural language processing, generate human-like text, and enhance decision-making. However, we'll also examine the potential risks, such as biases and misuse.

Join us for a balanced discussion of LLMs and their impact on the future of AI.
Learn more about LLMs on our latest blog article: https://www.boost.ai/blog/llms....-large-language-mode

How does AI learn? Is AI conscious & sentient? Can AI break encryption? How does GPT & image generation work? What's a neural network?
#ai #agi #qstar #singularity #gpt #imagegeneration #stablediffusion #humanoid #neuralnetworks #deeplearning

I used this to create neural nets:
https://alexlenail.me/NN-SVG/index.html

More info on neural networks
https://youtu.be/aircAruvnKk?si=Go9XAXR8TqmhX-5m

How stable diffusion works
https://youtu.be/sFztPP9qPRc?si=aF-doepEiaiDrG6z

Newsletter: https://aisearch.substack.com/
Find AI tools & jobs: https://ai-search.io/
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Here's my equipment, in case you're wondering:
GPU: RTX 4080 https://amzn.to/3OCOJ8e
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Audio interface: Scarlett Solo https://amzn.to/3qELMeu
CPU: i9 11900K https://amzn.to/3KmYs0b

✅ 𝗔𝗚𝗢𝗥𝗔 𝗘𝗨 𝗧𝗘𝗡𝗛𝗢 𝗨𝗠 𝗖𝗨𝗥𝗦𝗢 😍
▸ Olha que massa que ficou: https://curso.dev/

✅ALURA COM 10% DE DESCONTO: https://www.alura.com.br/promocao/news-deschamps

✅ÍNDICE:

01 - Diferença entre todos os termos: https://www.youtube.com/watch?v=ccZ2pyr3YDw&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=2
02 - Introdução ao Python: https://www.youtube.com/watch?v=Gojqw9BQ5qY&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=2
03 - Introdução a Data Science: https://www.youtube.com/watch?v=F608hzn_ygo&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=3
04 - Introdução a Machine Learning: https://www.youtube.com/watch?v=JyGGMyR3x5I&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=4
05 - Introdução a Data Visualization: https://www.youtube.com/watch?v=qLiEDvs57nk&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=5

Este é o primeiro vídeo de uma playlist SENSACIONAL sobre Inteligência Artificial e que conta com o apoio da Alura e o seu co-fundador Guilherme Silveira.

Este vídeo serve para dar uma visão macro de todos os termos geralmente relacionados ao tópico "Inteligência Artificial" como por exemplo Machine Learning (Aprendizado de Máquina), Data Science (Cientista de Dados), Deep Learning e até coisas como Data Visualization. Chegou a hora de clarearmos na nossa cabeça esses termos e inclusive colocar a mão na massa!!!

Alura, muito obrigado pelo apoio ao canal, tanto por trazer um conteúdo que vai mudar a vida de muita gente quanto por garantir o emprego a longo prazo de todo mundo que seguir essa playlist!

Se você também quiser apoiar a Alura, confira os cursos deles com 10% de desconto no link abaixo:

✅ CURSOS COM 10% DE DESCONTO: https://www.alura.com.br/promocao/news-deschamps


✅ 𝗚𝗢𝗦𝗧𝗔 𝗗𝗘 𝗡𝗢𝗧𝗜𝗖𝗜𝗔𝗦 𝗦𝗢𝗕𝗥𝗘 𝗧𝗘𝗖𝗡𝗢𝗟𝗢𝗚𝗜𝗔?

▸ Então você vai pirar nisso: https://filipedeschamps.com.br/newsletter


✅ 𝗢𝗟𝗛𝗔 𝗤𝗨𝗘 𝗠𝗔𝗦𝗦𝗔!

▸ Se essas conversas aqui estão fazendo você perceber coisas diferentes no seu código, ou na sua profissão de desenvolvedor, considera se tornar um Membro da Turma. É muito massa porque dá pra ter uma conversa muito mais próxima e discutir coisas bem diferentes e super importantes do nosso dia a dia: https://www.youtube.com/FilipeDeschamps/join


✅ 𝗢𝗦 𝗠𝗘𝗟𝗛𝗢𝗥𝗘𝗦 𝗩𝗜𝗗𝗘𝗢𝗦 𝗗𝗢 𝗖𝗔𝗡𝗔𝗟

▸ Preguiça: Descobri Como Consertar o Meu Maior Problema
https://youtu.be/rHANBi7E2cI

▸ 3 Técnicas Que Eu Uso Para Aprender a Programar Qualquer Coisa
https://youtu.be/ZtMzB5CoekE

▸ SOLID fica FÁCIL com Essas Ilustrações
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▸ Desafio: 10 projetos rápidos para treinar Programação e conseguir um Emprego
https://youtu.be/fYR9L2ZmodM

In this video you will learn about three very common methods for data dimensionality reduction: PCA, t-SNE and UMAP. These are especially useful when you want to visualise the latent space of an autoencoder.

If you want to learn more about these techniques, here are some key papers:
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction https://arxiv.org/abs/1802.03426
- Stochastic Neighbor Embedding https://papers.nips.cc/paper_f....iles/paper/2002/hash
- Visualizing Data using t-SNE https://www.jmlr.org/papers/vo....lume9/vandermaaten08

And if you want to learn about even more recent techniques such as TriMAP and PACMAP, here are the papers:
- TriMap: Large-scale Dimensionality Reduction Using Triplets https://arxiv.org/abs/1910.00204
- PaCMAP https://arxiv.org/abs/2012.04456

Chapters:
00:36 PCA
05:15 t-SNE
13:30 UMAP
18:02 Conclusion

This video features animations created with Manim, inspired by Grant Sanderson's work at @3blue1brown. Here is the code that I used to make this video: https://github.com/ytdeepia/La....tent-Space-Visualisa

If you enjoyed the content, please like, comment, and subscribe to support the channel!


#DeepLearning #PCA #ArtificialIntelligence #tsne #DataScience #LatentSpace #Manim #Tutorial #machinelearning #education #somepi

So we've talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving cars, to cutting edge medical diagnosis and real-time language translation, there has been an increasing need for our computers to learn from data and apply that knowledge to make predictions and decisions. This is the heart of machine learning which sits inside the more ambitious goal of artificial intelligence. We may be a long way from self-aware computers that think just like us, but with advancements in deep learning and artificial neural networks our computers are becoming more powerful than ever.

Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios

Want to know more about Carrie Anne?
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The Latest from PBS Digital Studios: https://www.youtube.com/playli....st?list=PL1mtdjDVOoO

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🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=DWBSM47aLY8&utm_medium=DescriptionFirstFold&utm_source=Youtube
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In this video, we're going to dive into the details of three popular ways to store data: databases, data lakes, and data warehouses. These terms are often thrown around in the tech world, especially during job interviews, so it's important to know what each one means and how they differ. We'll start off by explaining what each of these data storage options is and highlight their main features. Next, we'll look at the advantages and disadvantages of using each type of storage solution, helping you understand when and why you might choose one over the others. We will also compare how each system handles data. This includes discussing how they manage various forms of data, from well-organized structured data to more flexible semi-structured data and even unstructured data, which can be more complex to organize. After that, we'll go over some typical uses for databases, data lakes, and data warehouses, sharing examples to show how each is applied in real-life situations. By the end of this video, you'll have a solid grasp of the key differences between a database, a data lake, and a data warehouse. This knowledge will not only boost your understanding but also prepare you to discuss these topics confidently in job interviews.

00:00:00 - Introduction to Data Storage
00:01:58 - What is a Database?
00:03:37 - What is a Data Warehouse?
00:05:29 - What is a Data Lake?
00:07:14 - A Quick Recap
00:09:32 - Factors to Consider to Choose the Right Platform

You can also go through the slides here: https://www.slideshare.net/sli....deshow/database-vs-d

✅ Is BigQuery a data lake or data warehouse?

BigQuery is a data warehouse. It is a fully managed, serverless, highly scalable, and cost-effective multi-cloud data warehouse offered by Google Cloud. BigQuery is designed for analyzing large datasets quickly and efficiently using SQL queries.

✅ Is data lake SQL or NoSQL?

A data lake itself is neither SQL nor NoSQL; rather, it is a storage repository designed to hold large amounts of raw data in its native format, including structured, semi-structured, and unstructured data. The type of data stored in a data lake can vary, and both SQL and NoSQL databases can be part of a data lake ecosystem.

✅ Does data lake use ETL?

Yes, data lakes use ETL (Extract, Transform, Load) processes, but they can also use ELT (Extract, Load, Transform) processes.

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#Database #DataLake #DataWarehouse #CloudComputing #2024 #simplilearn

➡️ About AWS Cloud Practitioner Course
AWS Cloud Practitioner course is for individuals seeking an overall understanding of Amazon Web Services Cloud, independent of specific technical roles. To build AWS Cloud knowledge, you will learn about AWS Cloud concepts, services, security, architecture and support. This course also helps prepare for the AWS Certified Cloud Practitioner exam.providers: Microsoft Azure, AWS, and GCP.

✅ Key Features
- Official AWS live class training content
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- Live online training from AWS Authorized Instructors
- 1-day Instructor-Led Training Course for accelerated learning

✅ Skills Covered
- AWS Cloud Adoption Framework
- AWS Global Infrastructure
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- Storage and databases
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- Front and Edge locations
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- AWS pricing models and support

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This Excel Data Analytics Full Course, from Beginners to Advanced video by simplilearn, will guide you through creating data visualisations and charts like a Funnel Chart in Excel, leveraging advanced functions such as SUMIFS, SUMPRODUCT, and AVERAGEIFS formulas, and mastering Data Visualization techniques, including building Excel Charts like a pro and creating multiple dependent DROP DOWN LISTS. Additionally, you'll learn Data Analytics using AI, how to use Microsoft Power Query for Data Transformation, and importing Excel data into tools like MySQL Workbench and Power BI, alongside learning about the distinctions between a Database and a Data Warehouse. With bonus content covering Automated Payslip Generators, AI in Excel, and tools like ChatGPT and Google Gemini for data analytics, you'll be well-equipped for 2024 with the top Excel formulas and insights for analysts.

The Full course will cover the following topics

00:00:00 Introduction to Excel Full Course
05:34:44 Excel Full Course Beginners to Advanced
05:38:08 How To Create A Funnel Chart In Excel
05:42:10 Big Data in 5 minutes
05:50:28 Data Analyst Roadmap
05:52:32 Data Science Vs Data Analyst
06:02:55 Data Science Vs Data Analyst
06:25:18 Data Analytics using AI
06:31:31 How To Use The Scan Function in Excel ?
06:41:49 How To Use IF Formula In Excel - ADVANCED TIPS
06:44:12 SUMIFS Formula in Excel
07:21:22 Data VisuALIZATION In EXCEL
07:27:08 Compare Two Lists And Find A Match In Excel
07:31:20 Build Excel Charts Like A Pro
07:44:34 Create Multiple Dependent DROP DOWN LIST In EXCEL
07:48:27 SUMPRODUCT Excel
07:50:18 AVERAGEIFS Formula in Excel
08:08:45 How to use microsoft power query
08:14:10 How To Import Excel Data File To MySQL Workbench
08:20:49 How To Import Excel Data In Power BI
08:22:33 How to Import Data from Web to Excel
08:52:31 Master DATA CLEANING In EXCEL
08:53:25 Database Vs Data Warehouse
09:03:46 Database Vs Data Warehouse
09:22:06 Excel Dashboard For Beginners
09:26:41 How To Use AI In Excel ?
09:42:07 How To Build Automated Payslip Generator In Excel
09:51:28 Copilot In EXCEL
10:04:10 Learn EXCEL Using Google Gemini
10:19:47 ChatGPT And Excel For Data Analytics
10:36:08 Data Transformation
11:07:07 ChatGPT for Excel Dashboard
11:30:53 Top 10 Important Excel Formulas For Analysts In 2024

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

#exceldataanalytics #exceltraining #excelformulasandfunctions #exceldatavisualization #excelcourse #simplilearn #simplilearn #2024

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
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✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
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Large language models-- or LLMs --are a type of generative pretrained transformer (GPT) that can create human-like text and code. There's a lot of talk about GPTs and LLMs lately, but they've actually been around for years! In this video, Martin Keen briefly explains what a LLM is, how they relate to foundation models, and then covers how they work and how they can be used to address various business problems.

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdK65X

#llm #gpt #gpt3 #largelanguagemodel #watsonx #GenerativeAI #Foundationmodels

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Try Gemini yourself: g.co/g1referral/9V6A6K8N

🔍 In this video, we unravel the layers of AI, Machine Learning, Deep Learning, and their applications in tools like #ChatGPT and Google #Bard

We first go through how AI is a broad field of study that encompasses #MachineLearning as a sub-field.

We then break down Machine Learning into supervised and unsupervised models, using real-world examples to illustrate their functions and differences.

We move deeper into Deep Learning: Learn about artificial neural networks and the power of semi-supervised learning in applications like fraud detection in banking.

Then we delve into Generative AI, differentiating it from discriminative models and demonstrating its capabilities in creating new, innovative outputs.

Finally we walk through Large Language Models (LLMs) and uncover the significance of LLMs in AI, their pre-training processes, and their customization for specific industry applications

*TIMESTAMPS*
00:00 Google’s AI Course in 10 Minutes
00:38 What is Artificial Intelligence?
01:27 What is Machine Learning?
03:28 What is Deep Learning?
05:15 What is Generative AI?
07:05 What are Large Language Models?

*RESOURCES I MENTION IN THE VIDEO*
Google’s full course: https://www.cloudskillsboost.g....oogle/course_templat
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I'm Jeff, a tech professional trying to figure life out. What I do end up figuring out, I share!

_PS: Some of the links in this description are affiliate links I get a kickback from and my opinions are my own and may not reflect that of my employer_ 😇

🔥PMP® Certification Training - https://www.simplilearn.com/project-management/pmp-certification-training?utm_campaign=xMEUvPMjro4&utm_medium=DescriptionFirstFold&utm_source=Youtube
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This video on PMP Full Course by simplilearn will help you learn the basics of PMP. The Project Management Professional Full Course is a complete guide to Project Management fundamentals and certification. The Full course Starts with What is Project Management and Agile Project Management, and get a deep dive into the PMP Certification with detailed exam guides and PMP 6th Edition Training. Followed by a Project Management Roadmap for beginners and learn essential skills like Prioritization Techniques and Product Lifecycle Management. Then we will proceed with key concepts such as Product Market Fit and Project Management in Software Engineering. proceeding ahead, we will prepare for career success with tips on How to Become a Project Manager and answering Product Management Interview Questions.

Following are the topics covered in PMP FC

00:00:00 Introduction to PMP FC
00:21:28 What is project management
00:29:37 What is agile project management
00:30:34 Detailed Information on PMP Certification
00:52:14 Project Management Roadmap for beginners
01:02:20 How to be Project Manager
06:12:27 Project Management
06:14:38 Prioritization Techniques
06:34:26 Product Lifecycle Management
06:54:02 What is product market fit
08:11:25 PMP 6th edition training
08:19:01 PMP Exam Guide
08:32:38 Projct Management in Software Engineering
08:34:07 How to answerProduct Management Interview Questions
09:09:03 Build Website with AI

Q) What is a roadmap in product management?
Answer: A product roadmap is a shared source of truth that outlines the vision, direction, priorities, and progress of a product over time. It's a plan of action that aligns the organization around short and long-term goals for the product or project, and how they will be achieved.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out More PMP Videos By Simplilearn: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#pmp #pmpcertification #pmpcertificationtraining #projectmanagement #projectmanagementcareer #simplilearn #2024

➡️PMP Certification Course Overview

Simplilearn's PMP training course covers core topics essential for a project management professional. It includes topics such as emerging trends, new technologies and practices, and core competencies required from a project manager. With an emphasis on strategic and business knowledge, the course also highlights the role of a project manager.

✅ Key Features

- Receive 35 Contact Hours with Live Virtual Sessions
- Exclusive modules focused on applications of GenAI in Project Management
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- PMP Exam Application Assistance by Certified Experts | Exam Cheat Sheet | Guaranteed Exam Pass Study Plan
- 24x7 Course Assistance Service

✅ Skills Covered

- Work breakdown structure
- Gantt charts
- Project cost estimating
- Engineering economics
- Resource allocation
- Mathematical project scheduling models
- Cost managementLeadership

✅ Benefits

The PMP® certification can help you land lucrative roles in IT, manufacturing, finance, healthcare, and other exciting industries. PMP® certified project managers drive better project performance and are often rewarded with substantial pay raises as shown below.

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🔥DevOps Engineer Masters Program: https://www.edureka.co/masters....-program/devops-engi

In this video, *DevSecOps Interview Questions and Answers* , we’ll cover the essential DevSecOps Interview Questions and Answers to help you excel in any DevSecOps role. From foundational security principles to advanced DevSecOps practices, we tackle questions about integrating security into CI/CD pipelines, container security, vulnerability management, and key tools like Docker, Kubernetes, and security scanners. You'll not only learn how to craft compelling answers but also understand the critical reasoning behind them, equipping you to stand out in your interviews. Whether you’re new to DevSecOps or a seasoned professional, this video is your ultimate guide to mastering DevSecOps interviews. Don’t forget to like, share, and subscribe for more insightful content!

✅ 02:28 - Use Case
✅ 08:04 - Why DevSecOps?
✅ 08:50 - What is DevSecOps & What is stands for?
✅ 10:09 - What are the benefits of DevSecops?
✅ 11:12 - DevSecOps vs. DevOps
✅ 14:37 - What are the Components of DevSecOps?
✅ 16:07 - What are the best practices of DevSecOps?
✅ 17:24 - What are common DevSecOps tools?
✅ 18:39 - What are the challenges of implementing DevSecOps?
✅ 19:42 - DevSecOps Culture
✅ 20:51 - How does DevSecOps work?

✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv


🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

- - - - - - - - - - - - - -
What is the difference between DevSecOps vs DevOps?


DevOps and DevSecOps share the goal of streamlining software delivery, but they differ in their focus and approach. DevOps emphasizes collaboration between development and operations teams to ensure fast and reliable software delivery. Security in DevOps is often treated as a separate phase or addressed later in the development lifecycle. In contrast, DevSecOps integrates security into every stage of the DevOps process, adopting a ""shift-left"" approach where security is a shared responsibility across development, security, and operations teams.
- - - - - - - - - - - - - -

Who should take this course:

Software Developers looking to streamline development and deployment.
IT Operations Professionals wanting to integrate with development teams.
QA Engineers seeking to automate testing within CI/CD pipelines.
System Administrators interested in managing infrastructure as code.
DevOps Enthusiasts eager to learn the latest tools and practices.
Students/Freshers wanting to start a career in IT and DevOps.
- - - - - - - - - - -- - - - --

Prerequisites for DevOps Course:

Basic programming knowledge (Python, Java, etc.)
Understanding of Linux/Unix systems
Familiarity with version control (Git)
Basic networking concepts
Awareness of cloud platforms (AWS, Azure, etc.)
Knowledge of the software development lifecycle
Willingness to learn and adapt.


For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

In this video, learn how to build your own Small Language Model (SLM) from scratch using Python, PyTorch, and Hugging Face datasets. We’ll walk through every step — from data collection and preprocessing to tokenization, transformer architecture, and model training.

You’ll discover how a compact 10–15 million parameter model can still generate coherent and meaningful text, using concepts inspired by GPT models. This tutorial simplifies complex AI topics like embedding layers, attention mechanisms, loss computation, and next-token prediction — all explained clearly with working code examples.

🔹 Topics Covered:

What are Small Language Models (SLMs)?

Using the TinyStories dataset from Hugging Face

Tokenization with OpenAI’s tiktoken library

Creating .bin training files for efficient processing

Building a Transformer architecture step-by-step

Implementing GPT-like attention blocks

Training configuration and hyperparameter tuning

Generating text from your trained SLM

🎯 Perfect for AI researchers, ML engineers, and enthusiasts who want to understand how GPT-style models actually work under the hood — without requiring massive GPUs or billion-parameter setups.

#SmallLanguageModel #BuildLLM #GPT2Tutorial #TransformerModel #PyTorch #AIML #DeepLearning #NLP #HuggingFace #TrainYourOwnGPT #SLM #LanguageModel #MachineLearning #ArtificialIntelligence #NanoGPT #AIProjects #PythonCoding #AICoding #OpenSourceAI #generativeai

Earn a Generative AI certificate today → https://ibm.biz/BdKUNX
Learn more about watsonx: https://ibm.biz/BdvDnr

AI promises to touch every aspect of work and life, but how do they get made?

In this video Martin keen walks through a five step framework for how to build and deploy AI models.

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdKUNr

Explore the capabilities and considerations for Small Language Models (SLMs). Whether you’re using out-of-the-box SLMs or customizing/fine-tuning them with your own data, we’ll cover practical considerations and best practices. Enhance your language processing capabilities with SLMs!

Chapters:
00:00 - Introduction
01:12 - SLM
02:47 - Advantages of SLMs
03:24 - Local Models
03:54 - Architecture
04:37 - Demo
07:12 - Getting started

✔️Resources:
https://aka.ms/azuresql-slm

📌 Let's connect:
Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna
Twitter - AzureSQL, https://aka.ms/azuresqltw

🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt

🔔 Subscribe to our channels for even more SQL tips:
Microsoft Azure SQL: https://aka.ms/msazuresqlyt
Microsoft SQL Server: https://aka.ms/mssqlserveryt
Microsoft Developer: https://aka.ms/microsoftdeveloperyt

#AzureSQL #SQL #LearnSQL

📌Generative AI Course: Masters Program : https://www.edureka.co/masters....-program/generative-
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

Learn the fundamentals of generative artificial intelligence in this beginner-friendly course (2025 edition). We’ll cover what generative AI is, how it differs from traditional AI, key architectures (GANs, VAEs, Transformers), hands-on examples, prompt engineering, and real-world applications you can build today. No prior AI or deep-learning experience required.

✅ What you’ll learn:

What is generative AI & why it matters in 2026
Core models: GAN (Generative Adversarial Network), VAE (Variational Autoencoder)
Transformer architecture and large language models (LLMs)
Text-, image-, and audio-generation use cases
Basics of prompt-engineering and building your own simple GenAI app
Ethical, bias, and safety considerations for generative systems

📌 By the end of this course you’ll be equipped to explore your own generative-AI experiments and skill up for deeper tools.

🔔 If you enjoyed this video, Subscribe & hit the bell icon so you won’t miss further AI-tutorials in 2026. Leave a comment if you have questions or want to see a project walkthrough.

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

🔥Agentic AI Training Course - Master AI Agents: https://www.edureka.co/agentic-ai-training-course
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

Explore the future of artificial intelligence with Agentic AI! In this video, we dive into the exciting developments and advancements that are set to shape the industry in 2026. We will learn what Agentic AI is and how it goes beyond traditional AI by acting with purpose and autonomy. You’ll discover 5 powerful secrets behind Agentic AI—from multi-agent collaboration to real-world tool integration and ethical guardrails. By the end, you’ll understand how Agentic AI is transforming industries and why it’s the future of intelligent systems.

Join us as we discuss the latest trends, innovations, and predictions for Agentic AI in 2026. Whether you're an AI enthusiast, a business leader, or simply curious about the future of technology, this video is for you. Stay ahead of the curve and discover what's next for Agentic AI!

00:00:00 Introduction
00:01:28 What is Agentic AI?
00:12:20 Agentic AI vs Generative AI
00:33:33 Alexa+ Powered by Generative AI
00:44:47 Agentic AI Roadmap
00:51:15 Introduction to Artificial Intelligence
01:10:03 Introduction to Deep Learning
02:27:26 Artificial Neural Network
02:59:26 Transformers Explained Using Generative AI
03:07:05 Transformers Neural Networks Explained
03:14:29 What are Large Language Models?
03:35:28 What is Multimodal AI?
03:52:46 LLM vs SLM
03:58:14 What is LangChain?
04:15:29 Langchain Agents Explained
04:22:44 What is RAG?
04:45:32 LLMOps: The Future of AI Development
04:51:55 Prompt Engineering
05:06:09 Natural Language Processing (NLP) & Text Mining using NLTK
05:44:52 KNN Algorithm using Python
06:03:11 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
06:07:35 DeepSeek Training Cost: How China Built AI for Less
06:13:04 DeepSeek vs OpenAI: Who Wins the AI Race?
06:25:36 Deep Learning Interview Questions

✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB


🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv


🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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

What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can autonomously make decisions, take actions, and pursue goals with minimal human intervention. Unlike traditional AI, which adheres to predetermined rules, agentic AI may dynamically adapt to new situations. It is widely utilized in robotics, virtual assistants, self-driving cars, and sophisticated decision-making processes.

What are the prerequisites for this Agentic AI Training Course?
In order to complete this course successfully, participants need to have a basic understanding of the Python programming language, machine learning, deep learning, natural language processing, generative AI, and prompt engineering concepts.

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: +18885487823(toll-free).

#agenticai #aiagents #agenticaicourse #generativeai