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"Draw up your travel plan on a large scale - and let yourself be carried away by the colorful hour in detail. The greatest attraction there is is the world - take a look at it!" Kurt Tucholsky
In the months when the hours of sunshine are shortest in the north, shortly before and after the never-ending polar night, Norway shows itself in the most beautiful colors. Whether it's the sunrises that turn into sunsets or the northern lights that color the sky, it's far less dreary and gray than we sometimes imagine.
Follow the trips to Norway, Iceland and many more on Instagram: https://www.instagr.am/ronald_soethje/
Discover Norway the land of the northern lights with its fjords and mountains in the south, the magical archipelago of Lofoten, the incredibly beautiful Senja and the endless fjords and islands around Tromsø.
Recorded with cameras in a resolution of over 8k and finished in HDR (High Dynamic Range / HDR 10). Norway looks best on real ultra high definition HDR display.
#Norge #Norway #8kHDR #HDR #Timelapse
Exploring a couple of the latest text to image generators that you can begin using right now, Stable Diffusion and MidJourney.
Stable Diffusion model download: https://huggingface.co/CompVis..../stable-diffusion-v1
MidJourney website: https://www.midjourney.com/home/
BLOOM AI model video: https://www.youtube.com/watch?v=3EjtHs_lXnk
DreamStudio: https://beta.dreamstudio.ai
Neural Networks from Scratch book: https://nnfs.io
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All rights owned by Universal Pictures
This lecture, by DeepMind Research Scientist Felix Hill, first discusses the motivation for modelling language with ANNs: language is highly contextual, typically non-compositional and relies on reconciling many competing sources of information. This section also covers Elman's Finding Structure in Time and simple recurrent networks, the importance of context and transformers. In the second part, he explores unsupervised and representation learning for language from Word2Vec to BERT. Finally, Felix discusses situated language understanding, grounding and embodied language learning.
Download the slides here:
https://storage.googleapis.com..../deepmind-media/UCLx
Find out more about how DeepMind increases access to science here:
https://deepmind.com/about#access_to_science
Speaker Bio:
Felix Hill is a Research Scientist working on grounded language understanding, and has been at DeepMind for almost 4 years. He studied pure maths as an undergrad, then got very interested in linguistics and psychology after reading the PDP books by McClelland and Rumelhart, so started graduate school at the University of Cambridge, and ended up in the NLP group. To satisfy his interest in artificial neural networks, he visited Yoshua Bengio's lab in 2013 and started a series of collaborations with Kyunghyun Cho and Yoshua applying neural nets to text processing. This led to some of the first work on transfer learning with sentence representations (and a neural crossword solver). He also interned at FAIR in NYC with Jason Weston. At DeepMind, he's worked on developing agents that can understand language in the context of interactive 3D worlds, together with problems relating to mathematical and analogical reasoning.
About the lecture series:
The Deep Learning Lecture Series is a collaboration between DeepMind and the UCL Centre for Artificial Intelligence. Over the past decade, Deep Learning has evolved as the leading artificial intelligence paradigm providing us with the ability to learn complex functions from raw data at unprecedented accuracy and scale. Deep Learning has been applied to problems in object recognition, speech recognition, speech synthesis, forecasting, scientific computing, control and many more. The resulting applications are touching all of our lives in areas such as healthcare and medical research, human-computer interaction, communication, transport, conservation, manufacturing and many other fields of human endeavour. In recognition of this huge impact, the 2019 Turing Award, the highest honour in computing, was awarded to pioneers of Deep Learning.
In this lecture series, research scientists from leading AI research lab, DeepMind, deliver 12 lectures on an exciting selection of topics in Deep Learning, ranging from the fundamentals of training neural networks via advanced ideas around memory, attention, and generative modelling to the important topic of responsible innovation.
Basic mathematics from a language model? Rob Miles on GPT3, where it seems like size does matter!
More from Rob Miles: http://bit.ly/Rob_Miles_YouTube
https://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
Computer Science at the University of Nottingham: https://bit.ly/nottscomputer
Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Want to build your own ChatGPT or learn the advanced ways to use Chat GPT? This video will be a more advance tutorial about OpenAI and its AI models, how to do prompts, generate content, and finally build an application based on its API.
⭐ New - Teach Me OpenAI Digital Book ⭐
https://enhanceui.gumroad.com/l/teach-me-openai
I've put together a easy to understand book with ~60 pages about OpenAI and GPT with how to get started to integrate it into projects, code examples, and much more!
Try the OpenAI Template - Starter Kit I've made
https://enhanceui.gumroad.com/....l/chatgpt-starter-te
This is new and ready for those looking to kickstart their own app or website using the OpenAI GPT models. I've built it on MERN it should save you over 100 hours if you want to build or test your own ideas! This also supports the channel if you have found these videos of benefit!
New - ChatGPT Starter Kit
https://enhanceui.gumroad.com/....l/chatgpt-template-s
00:00 - Introduction
00:55 - OpenAI Template Starter Kit
01:40 - Part 1. Prompt Engineering for ChatGPT & AI
02:29 - Part 1. Examples of Chat GPT Prompts
03:58 - Part 1. OpenAI Playground and Promps
04:53 - Part 1. Example 1 AI Q&A Prompt
06:45 - Part 1. Example 2 AI Airport Prompt
08:00 - Part 1. Example 3 AI Code Prompt
09:42 - Part 2. OpenAI Models and Uses
10:35 - Part 2. GPT3 Models Davinci Curie etc
11:54 - Part 2. Coding Models Codex, Crushman
12:41 - Part 2. OpenAI API Pricing and Tokens
13:44 - Part 2. Comparing AI Model and Outputs
15:18 - Part 2. Prompt variables for Temp, Length etc
16:55 - Part 2. OpenAI Fine-tuned models
17:26 - Part 2. Summary and Recap
17:47 - Part 3. Technical Chat GPT Introduction
18:00 - Part 3. Dependencies (NodeJS, CRA, API Keys, etc)
18:50 - Part 3. Create React Application
19:30 - Part 3. Express Web API
21:09 - Part 3. Frontend React JS Component setup
22:46 - Part 3. Backend Express OpenAI API setup
26:10 - Part 3. Fetch data from Client to Server to API (OpenAI)
29:44 - Part 3. Intro to Advanced Uses API
30:10 - Part 3. Example 1: Advanced API ChatGPT like Chatbot
35:21 - Part 3. Example 2: Advanced Terminal Chat GPT bot
36:41 - Conclusion
This video focused on the more advanced and technical aspects of GPT3 and its models. If you want a more beginner video on ChatGPT, I've you can access the following ones below:
1. What is ChatGPT
https://youtu.be/40Kp_fa8vIw
2. ChatGPT Tutorial for Beginners
https://youtu.be/JTxsNm9IdYU
3. How to use ChatGPT
https://youtu.be/3aV5-q8vRz8
#chatgpt #ai #openai
Discord: https://www.editorx.com/editor-x/codex
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐉𝐚𝐯𝐚 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/java-j2ee-training-course (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on "Interface on Java" will provide you with detailed knowledge about Java Interface and also cover some real time examples in order to provide you a better understanding of the functionality of Java Interface. This video will cover the following topics:
00:00:00 Introduction
00:00:22 Agenda
00:00:56 What is an Interface?
00:01:30 Why do we need an Interface?
00:03:20 Practical examples on Interface
00:05:32 Interface Nesting
00:07:02 Difference between Class and Interface
00:08:30 Advantages and Disadvantages of Interface
00:09:10 Key Points on Interface.
00:09:55 Practical Examples of Interface on Key Points
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐫𝐚𝐬𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 will explain what ChatGPT is all about. In this ChatGPT tutorial, you will learn about how ChatGPT works and the language model that ChatGPT uses.
ChatGPT is an artificial intelligence chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and has been fine-tuned using both supervised and reinforcement learning techniques.
⏩ Edureka ChatGPT Explained Playlist: http://bit.ly/3HGRy3G
#ChatGPTCrashCourse #edureka #chatgptexplained #chatgpt #openai #chatgpttutorial #chatgpt3 #ai #nlp #artificialintelligence
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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g
🔵 About Edureka ChatGPT Certification Training Course
Edureka’s ChatGPT Certification Training Course will teach you about ChatGPT architecture, GPT models, methodology, and real-world applications. The ChatGPT certification training program is an excellent choice for individuals and organizations seeking to improve their language processing and AI skills and knowledge.
🔵 Why take up the Online ChatGPT Certification Course?
Interested individuals can opt for the Online ChatGPT Certification course as this course provides:
Comprehensive knowledge: The course provides a comprehensive understanding of ChatGPT, including its architecture, training methodology, and real-world applications.
Career advancement: The certification demonstrates an individual's expertise and competence in working with ChatGPT, making them a valuable asset to any organization.
Stay ahead of the curve: ChatGPT is a rapidly growing field, and with the certification, one can stay ahead of the curve and stay updated with the latest advancements in the industry.
Enhance skills: The course provides practical skills and knowledge that can be applied to various areas and industries.
🔵 Who should take up this ChatGPT Certification Course?
The ChatGPT Certification Course is suitable for a wide range of individuals, including:
AI professionals: This course is ideal for AI professionals who want to gain expertise in ChatGPT and expand their knowledge in the field of AI.
Developers: Developers who want to integrate ChatGPT into their projects and create new AI applications can benefit from the course.
Data scientists: Data scientists who want to understand how ChatGPT can be used to process and analyze large amounts of data can also benefit from the course.
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This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm.
As of November 2023 (this field moves fast!).
Context: This video is based on the slides of a talk I gave recently at the AI Security Summit. The talk was not recorded but a lot of people came to me after and told me they liked it. Seeing as I had already put in one long weekend of work to make the slides, I decided to just tune them a bit, record this round 2 of the talk and upload it here on YouTube. Pardon the random background, that's my hotel room during the thanksgiving break.
- Slides as PDF: https://drive.google.com/file/....d/1pxx_ZI7O-Nwl7ZLNk (42MB)
- Slides. as Keynote: https://drive.google.com/file/....d/1FPUpFMiCkMRKPFjhi (140MB)
Few things I wish I said (I'll add items here as they come up):
- The dreams and hallucinations do not get fixed with finetuning. Finetuning just "directs" the dreams into "helpful assistant dreams". Always be careful with what LLMs tell you, especially if they are telling you something from memory alone. That said, similar to a human, if the LLM used browsing or retrieval and the answer made its way into the "working memory" of its context window, you can trust the LLM a bit more to process that information into the final answer. But TLDR right now, do not trust what LLMs say or do. For example, in the tools section, I'd always recommend double-checking the math/code the LLM did.
- How does the LLM use a tool like the browser? It emits special words, e.g. |BROWSER|. When the code "above" that is inferencing the LLM detects these words it captures the output that follows, sends it off to a tool, comes back with the result and continues the generation. How does the LLM know to emit these special words? Finetuning datasets teach it how and when to browse, by example. And/or the instructions for tool use can also be automatically placed in the context window (in the “system message”).
- You might also enjoy my 2015 blog post "Unreasonable Effectiveness of Recurrent Neural Networks". The way we obtain base models today is pretty much identical on a high level, except the RNN is swapped for a Transformer. http://karpathy.github.io/2015..../05/21/rnn-effective
- What is in the run.c file? A bit more full-featured 1000-line version hre: https://github.com/karpathy/ll....ama2.c/blob/master/r
Chapters:
Part 1: LLMs
00:00:00 Intro: Large Language Model (LLM) talk
00:00:20 LLM Inference
00:04:17 LLM Training
00:08:58 LLM dreams
00:11:22 How do they work?
00:14:14 Finetuning into an Assistant
00:17:52 Summary so far
00:21:05 Appendix: Comparisons, Labeling docs, RLHF, Synthetic data, Leaderboard
Part 2: Future of LLMs
00:25:43 LLM Scaling Laws
00:27:43 Tool Use (Browser, Calculator, Interpreter, DALL-E)
00:33:32 Multimodality (Vision, Audio)
00:35:00 Thinking, System 1/2
00:38:02 Self-improvement, LLM AlphaGo
00:40:45 LLM Customization, GPTs store
00:42:15 LLM OS
Part 3: LLM Security
00:45:43 LLM Security Intro
00:46:14 Jailbreaks
00:51:30 Prompt Injection
00:56:23 Data poisoning
00:58:37 LLM Security conclusions
End
00:59:23 Outro
🚀 Complete Claude Code Resources & Course: https://skool.com/scrapes
Don't miss the next build - https://www.youtube.com/@simon....scrapes?sub_confirma
Grab the full resources for this video here (free): https://scrapeshq.notion.site/....Every-Level-of-Claud
Think you're getting the most out of Claude Code? You're probably just scratching the surface. In this video, we break down the 7 levels of mastery, guiding you from basic prompting all the way to building fully autonomous systems. Stop the trial-and-error and start unlocking Claude Code's true potential today.
00:00 - Every Level of Claude Code Explained in 39 Minutes
00:41 - Level 1: The One Thing You Need To Know
03:25 - Level 2: Personalizing CLAUDE for better responses
10:25 - Level 3: Slash Commands, Skills & Hooks - Repeatability
21:21 - Level 4: Connecting Claude Code to Your Apps (MCPs)
26:18 - Level 5: Move from Executor to Supervisor
29:34 - Level 6: Agent Teams
35:57 - Level 7: Fully Autonomous Systems
#claudecodetutorial #masterclaudecode #claudecode
📌Generative AI Course: Masters Program : https://www.edureka.co/masters....-program/generative-
This Generative AI full course is designed to help you understand and explore the power of AI in the most simple and practical way. Whether you're a beginner or just curious about how tools like ChatGPT, Midjourney, or other AI systems work, this course covers everything from the basics of what Generative AI is, how to communicate with AI using effective prompts, and real-life use cases in content creation, business, and productivity.
00:00:00:Introduction
00:02:06 What is Machine learning?
00:18:42 Types of Machine Learning Models
00:25:56 Mathematics for Machine Learning
02:08:43 Machine Learning Algo
02:30:38 How to select the correct predictive modeling techniques?
02:42:48 Linear Regression Algorithm
02:50:14 Logistic Regression Algorithm
03:37:27 Linear Regression Vs Logistic Regression
03:40:58 MLOps for Beginners
03:53:00 How to Become a Machine Learning Engineer?
04:02:31 Machine learning Engineer Skills
04:10:40 Machine Learning Roadmap
04:20:32 Machine Learning Tips
04:27:12 What is Generative AI?
04:40:42 Generative AI Examples
04:59:21 Generative AI Tools
05:20:46 What Are GANs?
05:33:08 Generate Images Using DC-GAN
05:57:41 Transformers In Gen AI
06:05:20 Generative AI Course - Part 1 - What is LLM?
06:25:04 Generative AI Course - Part 2 - What is LangChain?
06:42:19 Generative AI Course - Part 3 - What is RAG?
07:05:11 Prompt Engineering Explained
07:18:56 Prompt Engineering for Code Generation
07:28:16 Building a Chatbot with Prompt Engineering
07:44:10 GitHub Copilot
08:01:36 OpenAI API using Python
08:09:51 Midjourney
08:28:12 Generative AI in Marketing
08:38:42 Exploring the Ethics of Generative AI
08:46:12 Nvidia's Latest Breakthrough in Generative AI
08:52:49 DeepSeek vs OpenAI: Who Wins the AI Race?
09:05:22 The Future of Generative AI and Job Opportunities
09:11:06 GenAI Roadmap
09:19:51 Generative AI Interview Questions
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
📢📢Check out the latest 2025 video on Top 10 Technologies for the most up-to-date insights!
📌 Top 10 Technologies to Learn in 2025 → https://youtu.be/5kjWh8lBxC4
📝Feel free to share your comments below.📝
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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Baltimore 8K Video Ultra HD 120 FPS - City in Maryland || 8K TV Test Video
8K Video Ultra HD, 60fps, 120fps, 240fps for Your 8K Resolution Device: Apple TV, 8K TV Samsung, LG TV, OLED TV, QLED TV, Sony Device or iPhone, Huawei, Xiaomi, Asus Phone and your others 8k device.
》This 8K Demo video is make for Educational and Entertainment purposes. You can use it to learn About Country, City, Nature, Place, River and etc with 8K Ultra HD Resolution.
》I did high color correction, color change, bit rate, raw video editing, merge files, optimize 8K demo video and more.
》About Baltimore : Baltimore is a major city in Maryland with a long history as an important seaport. Fort McHenry, birthplace of the U.S. national anthem, “The Star-Spangled Banner,” sits at the mouth of Baltimore’s Inner Harbor. Today, this harbor area offers shops, upscale crab shacks and attractions like the Civil War–era warship the USS Constellation and the National Aquarium, showcasing thousands of marine creatures. ― Google
Area: 239 km²
Weather: 22°C, Wind E at 5 km/h, 78% Humidity weather.com
Local time: Saturday 8:33 AM
Area code: Area code 410
Mayor: Brandon Scott
Population: 602,274 (2020)
》Top Rated Attractions & Things to Do in Baltimore :
1. Fort McHenry National Monument and Historic Shrine
2. National Aquarium
3. American Visionary Art Museum
4. Baltimore Museum of Art
5. Inner Harbor and Historic Ships
6. See a Game: Oriole Park at Camden Yards
7. Fell's Point
8. Baltimore and Ohio Railroad Museum
9. Maryland Science Center
10. Baltimore Museum of Industry
11. National Cryptologic Museum
12. Maryland Zoo in Baltimore
13. Basilica of the National Shrine of the Assumption of the Blessed Virgin Mary
14. Washington Monument and Mount Vernon
15. Little Italy & etc.
----------------------------------------------------
》Thumbnail Credits: Canva
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》Music in This Video by Envato Element
I Use Paid Music in this Video
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》All Credits Goes to Youtube
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© Disclaimer:
》All The Footage Used In this Video Licensed by 8K Earth.
》I Use Paid Stock Footage & All Pictures In My Channel.
》Video Footage Copyright Under Standard License.
》I tried to Present a new way by Changing the color of the Video.
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐖𝐒 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/aws-certification-training (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
In this Edureka tutorial on AWS IAM, we will show you how to secure your AWS account using IAM service in AWS. Below are the topics that are covered in this tutorial:
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬
🌕 Professional Certificate 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
🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g
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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
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📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
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In this video on "What Is Jira?" we will cover the basic steps to learn Jira Tool as for new users to learn Jira Training with Jira Tutorial For Beginners.JIRA is an Agile project management tool used for Project Management, Bug Tracking, Issue Tracking, and Automate Workflow. It is also the solution that provides concepts and solutions to the entire team and the client, allowing for collaboration and transparency. This helps gather contextual data or information regarding the task, track the progress, report and tackle all the bugs, and release it when approved.
Below are the topics we are going to discuss in this JIRA Tutorial For Beginners:
00:00 Introduction
00:31 Question
00:49 Agenda
01:10 What Is Jira?
01:41 How Jira Works?
02:27 Jira Components and its Uses
04:19 Jira Concept
05:33 Features
08:33 Tutorial
What is Jira?
It is an incident management tool and a platform-independent tool that can run on any operating system and also is a multilingual tool. If we look into the work process of Jira, then it permits us to organize the task and other priorities, constructing a well-organized workflow in different management. The Workflow includes review and approval steps and multiple resolution possibilities.
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The Professional Certification in Product Management by SP Jain School Of Global Management prepares you to become a Product Manager via an exhaustive curriculum covering all aspects of product management. This program educates you on the latest industry trends, advancements, and related industry applications from Top Product Experts via Live Sessions.
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Anthropic’s Alex Albert (Claude Relations) sits down with Erik Schluntz (Multi-Agent Research and co-author of our blog post, Building Effective Agents) for a discussion on the evolution of agents over the past six months, including tips for building multi-agent systems, common multi-agent patterns, and best practices for using skills, MCP servers, and tools.
00:00 - Introductions
00:35 - Training Claude to tackle agentic tasks
1:30 - Making Claude more autonomous with code
3:20 - Using the Claude Agent SDK to build agents
5:00 - Tips for using Agent Skills
6:40 - The evolution of workflows and agents (workflows of agents)
8:30 - The value of simple agent architectures
9:30 - Building multi-agent systems: orchestrators, subagents, and tool calling
11:40 - Training Claude to use subagents
12:25 - Multi-agent use design patterns: parallelization, MapReduce, and test-time compute
13:20 - Coordinating problem solving with tools and subagents
14:15 - Common agent failure modes
15:00 - Best practices for getting started with building agents (context engineering, MCPs, and tools)
17:15 - The future of agents: coding, computer use, and beyond
Read the original blog post: https://www.anthropic.com/engi....neering/building-eff
Learn more about Agent Skills: https://www.anthropic.com/engi....neering/equipping-ag
In this video, I dive into the world of agentic AI, a concept that's set to be a major buzzword in 2025. We explore how agentic AI combines multiple agents—some of which are language models (LLMs) and others that are tools—to create more sophisticated and effective AI workflows. We walk through a simple example of how an AI agent can draft a marketing plan, another can critique it, and a third can refine it based on the feedback. We also discuss how some agents can be tools, like a Google search to gather data, and how an orchestrator agent can manage the entire process, adjusting steps as needed.
Leave me a comment if you have new topics I should be discussing.
Check out my LinkedIn: https://www.linkedin.com/in/donwoodlock/
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YouTube Timestamps
0:00 – 0:20 Welcome
0:21 – 0:50 Introduction to the concept of Agentic AI
0:51 – 3:50 Explanation of how Agentic AI works
3:50 – 4:08 Advertisement plug-in
4:08 – 5:20 Example of using compound LLM’s
5:21 – 5:55 Why you should use a compound LLM approach
5:57 – 6:45 Best way to train and use LLM’s for optimal outcome
6:45 – 7:40 How to think of LLM as agents
7:41 – 10:05 Not every agent needs to be an LLM
10:06 - 10:50 Possibility of having an orchestrator agent
10:51 – 12:50 How to use these agents
12:51 – 13:26 Closing remarks
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ABOUT INTERSYSTEMS
Established in 1978, InterSystems Corporation is the leading provider of data technology for extremely critical data in healthcare, finance, and logistics. It’s cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems Corporation is ranked by Gartner, KLAS, Forrester and other industry analysts as the global leader in Data Access and Interoperability. InterSystems is the global market leader in Healthcare and Financial Services.
Website: https://www.intersystems.com/
Youtube: https://www.youtube.com/@InterSystemsCorp
LinkedIn: https://www.linkedin.com/company/intersystems/
Twitter: https://twitter.com/InterSystems
#agenticai #aiagents #LLM