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Free Download Mastering Gen Ai - Prompt Engineering - A Hands-On Guide Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.37 GB | Duration: 3h 7m Hands-on Training in Generative AI - Prompt Engineering What you'll learn Grasp Generative AI Fundamentals: Learn core concepts, applications, and models. Master Prompt Engineering: Design, optimize, and troubleshoot effective prompts. Build and Customize Prompts: Develop and fine-tune prompt frameworks for various tasks. Apply Advanced Techniques: Explore advanced concepts and real-world applications of Generative AI. Requirements Basic Computer Skills: Familiarity with using a computer and navigating software applications. Introduction to AI Concepts: A basic understanding of artificial intelligence is helpful but not required. No Prior Experience Needed: The course is designed for beginners, so no prior experience in Generative AI or prompt engineering is necessary. Access to a Computer: A computer with an internet connection for accessing course materials and completing hands-on exercises. Description Dive into the world of Generative AI with our comprehensive course designed for learners at all levels. "Generative AI and Prompt Engineering: A Hands-on Guide" offers a thorough exploration of Generative AI technologies and practical techniques for effective prompt engineering.In this course, you will:Understand Generative AI: Gain a solid foundation in what Generative AI is, its various models, and its real-world applications.Master Prompt Engineering: Learn how to craft and optimize prompts to guide AI models, including best practices and strategies for overcoming common challenges.Build Practical Skills: Develop hands-on experience by creating and customizing prompt frameworks, with step-by-step guidance on setting up your development environment and fine-tuning models.Explore Advanced Topics: Delve into advanced concepts such as transfer learning and zero-shot learning, and see how these techniques apply to real-world scenarios through detailed case studies.Whether you're new to AI or looking to enhance your existing knowledge, this course provides the tools and insights needed to effectively leverage Generative AI and prompt engineering in your projects. With engaging content, practical exercises, and real-world examples, you will build a strong foundation and gain confidence in applying these cutting-edge technologies. Join us to unlock the potential of AI and advance your skills with practical, real-world applications and interactive learning experiences. Overview Section 1: Introduction to Generative AI Lecture 1 Overview of Generative AI Lecture 2 Key Applications of Generative AI Lecture 3 A Brief History of Generative AI Lecture 4 Types of Generative AI Models Section 2: Fundamentals of Prompt Engineering Lecture 5 Understanding Prompts in AI Lecture 6 Demo - Understanding prompts in AI Lecture 7 Demo - The Role and Importance of Prompt Engineering Lecture 8 Best Practices for Effective Prompt Design Lecture 9 Demo - Best practices in prompt design Lecture 10 Challenges and Pitfalls in Prompt Engineering Lecture 11 Demo - Common challenges in prompt engineering Section 3: Hands-on: Building a Prompt Engineering Framework Lecture 12 Setting up the Development Environment Lecture 13 Writing a Basic Prompt Generation Script Lecture 14 Demo - Creating a basic prompt generation script Lecture 15 Customizing Prompts for Specific Use Cases Lecture 16 Demo - Customizing prompts for specific tasks Lecture 17 Demo - Testing and Fine-tuning Your Prompt Models Section 4: Creating Effective Prompts Lecture 18 Exploring Different Types of Prompts Lecture 19 Demo - Understanding different types of prompts Lecture 20 Formulating Precise Prompts for Desired Outputs Lecture 21 Demo - Formulating Precise Prompts for Desired Outputs Lecture 22 Demo - Iterating, Testing, and Refining Prompts Lecture 23 Aligning Prompts with Specific Project Goals Lecture 24 Demo - Using prompt engineering to achieve specific goals Section 5: Optimizing Prompt Generation Lecture 25 Tools and Techniques to Optimize Prompt Generation Lecture 26 Demo - Tools and techniques for optimizing prompt generation Lecture 27 Enhancing Efficiency and Accuracy of Prompts Lecture 28 Demo - Strategies for improving prompt efficiency and accuracy Lecture 29 Ethical Implications in Prompt Engineering Lecture 30 Demo - Considering ethical implications in prompt engineering Lecture 31 Real-world Applications of Optimized Prompts Lecture 32 Demo - Real-world applications of optimized prompt generation Section 6: Advanced Concepts in Generative AI Lecture 33 Exploring Transfer Learning in Generative AI Lecture 34 Demo - Transfer learning in Generative AI Lecture 35 Zero-shot and Few-shot Learning Techniques Lecture 36 Demo - Zero-shot and few-shot learning techniques Lecture 37 Ethical Design in Advanced Prompt Engineering Lecture 38 Demo - Ethical considerations in prompt design Lecture 39 Recent Breakthroughs in Generative AI Research Lecture 40 Demo - Recent advances in Generative AI research Section 7: Applications of Prompt Engineering Lecture 41 Leveraging Prompt Engineering for Content Generation Lecture 42 Demo - Natural language generation for content creation Lecture 43 Automating Code Generation Using Prompts Lecture 44 Demo - Automated code generation using prompts Lecture 45 Using Prompts for Personalized Recommendations Lecture 46 Demo - Personalized recommendation systems with prompt engineering Lecture 47 Enhancing Virtual Assistants with Prompt-driven Responses Lecture 48 Demo - Enhancing chatbots and virtual assistants with prompt design Section 8: Case Studies and Real-world Examples Lecture 49 Case Study: GPT-3 and the Role of Prompt Engineering Lecture 50 Demo - Case study- GPT-3 and prompt engineering Lecture 51 Real-world Implementations of Prompt-based Systems Lecture 52 Demo - Real-world examples of successful prompt-based systems Lecture 53 Lessons from Failed Prompt Engineering Projects Lecture 54 Demo - Lessons learned from failed prompt engineering projects Lecture 55 Future Trends in Generative AI and Prompt Engineering Lecture 56 Demo - Future prospects and trends in Generative AI and prompt engineering Beginners in AI: Individuals with little to no experience in Generative AI who want to explore this growing field.,Aspiring Prompt Engineers: Those interested in learning how to design and optimize effective prompts for AI models.,Developers and Data Scientists: Professionals seeking to enhance their skills in AI by applying hands-on prompt engineering techniques.,Content Creators and Innovators: Creatives looking to leverage Generative AI for content generation, automation, or product innovation. 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Free Download Coursera - Machine Learning Theory and Hands-on Practice with Python Specialization Last updated 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 71 Lessons ( 14h 34m ) | Size: 1.4 GB Develop Foundational Machine Learning Skills. Add Supervised, Unsupervised, and Deep Learning techniques to your Data Science toolkit. What you'll learn Explore several classic Supervised and Unsupervised Learning algorithms and introductory Deep Learning topics. Build and evaluate Machine Learning models utilizing popular Python libraries and compare each algorithm's strengths and weaknesses. Explain which Machine Learning models would be best to apply to a Machine Learning task based on the data's properties. Improve model performance by tuning hyperparameters and applying various techniques such as sampling and regularization. Skills you'll gain Unsupervised Learning Python Programming Deep Learning hyperparameter tuning Supervised Learning In the Machine Learning specialization, we will cover Supervised Learning, Unsupervised Learning, and the basics of Deep Learning. You will apply ML algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Starting with supervised learning, we will cover linear and logistic regression, KNN, Decision trees, ensembling methods such as Random Forest and Boosting, and kernel methods such as SVM. Then we turn our attention to unsupervised methods, including dimensionality reduction techniques (e.g., PCA), clustering, and recommender systems. We finish with an introduction to deep learning basics, including choosing model architectures, building/training neural networks with libraries like Keras, and hands-on examples of CNNs and RNNs. This specialization can be taken for academic credit as part of CU Boulder's MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science:https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science:https://coursera.org/degrees/ms-computer-science-boulder Applied Learning Project In this specialization, you will build a movie recommendation system, identify cancer types based on RNA sequences, utilize CNNs for digital pathology, practice NLP techniques on disaster tweets, and even generate your images of dogs with GANs. You will complete a final supervised, unsupervised, and deep learning project to demonstrate course mastery. Homepage https://www.coursera.org/specializations/machine-learnin-theory-and-hands-on-practice-with-pythong-cu TakeFile https://takefile.link/slfcret4wdxa/qwqya.Coursera..Machine.Learning.Theory.and.Handson.Practice.with.Python.Specialization.part1.rar.html https://takefile.link/couswvh71783/qwqya.Coursera..Machine.Learning.Theory.and.Handson.Practice.with.Python.Specialization.part2.rar.html Rapidgator http://peeplink.in/907d46c302f7 Fikper Free Download https://fikper.com/zxz1kOVrwX/qwqya.Coursera..Machine.Learning.Theory.and.Handson.Practice.with.Python.Specialization.part1.rar.html https://fikper.com/2k2TCX4W3K/qwqya.Coursera..Machine.Learning.Theory.and.Handson.Practice.with.Python.Specialization.part2.rar.html No Password - Links are Interchangeable

Free Download Started With Siemens Nx Cam 2312 Hands On-Learn By Doing Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 9.46 GB | Duration: 10h 58m Siemens NX CAM Hands-On. Learn how to create toolpath and CNC Program using NX CAM for Beginners. What you'll learn You will understand CAM concept and advanced manufacturing topics in Siemens NX CAM 2312. How to import the part file from any CAD software like Solidworks, Solidedge and catia v5. Work independently on any Part in any version of Siemens NX . Make any toolpath for any complex part easily using a NX CAM operations as shown in Examples. Requirements Any cad course knowledge. Description The SIEMENS NX CAM 2312 Basic Manufacturing course will introduce the main concepts of CAM programming using this computer-aided manufacturing tool. It will introduce the student to all the concepts and most importantly tools, the work philosophy within NX CAM 2312. In this course, several 2.5Axis, 3Axis, and 4Axis machining toolpath will be covered, where the student will learn to correctly choose and define their machining strategies, create tools, learn that, with NX 2312,In this course I will cover· Planner milling (generate complete machining processes for prismatic parts of any complexity)· Contour milling (generate high-quality mold inserts using a complete set of advanced NC programming tools.)· Multi axis (generate Advanced 3+2 milling and 5-axis machining methods allow you to produce challenging molds with deep cavities)· Turning (Generate program for 2D part profiles or full solid models roughing, multiple pass finishing, grooving, thread cutting and centerline drilling operations)· HOLE making (Generate program for 2D part or full solid models for Drilling, Spot drilling etc operations)· Features machining (NX CAM 2312 can automate CNC programing by using Feature-Based Machining (FBM)· Multi axis Blade (Generate programming of complex multi-bladed such as blisks and impellers)· Mill rotary (generate programming of complex rotational parts, with specialized 4-axis NC programming operations)· Post processor (Generate NC programs for a wide range of machine tools and controllers using Post builder) Overview Section 1: Introduction Lecture 1 Introduction to NX CAM 2312 Lecture 2 How to import .xt, stp & .prt files Lecture 3 How to define Blank Geometry for NX CAM Lecture 4 Manufacturing Assemblies Introduction Lecture 5 Non cutting Move (Engage & Retract) Lecture 6 Cutting Parameters (Cut Level) Lecture 7 Cutting Parameters 2 Lecture 8 NC Assistant Lecture 9 How to add tool in tool library Section 2: NX 2312 Milling Planar Milling (2.5 Axis Operations) Lecture 10 FaceMill MidPass operation Lecture 11 Face_Mill_ZigZag Operation Lecture 12 Floor Facing without wall operation Lecture 13 Floor and Wall Operation Lecture 14 Pocket Milling Operation Lecture 15 2D Profile wall without Floor Lecture 16 2D Profile Wall with Floor Lecture 17 Planar profile Lecture 18 Planar profile Lecture 19 Planar MIll Lecture 20 Groove Milling Lecture 21 Face mill Manual Lecture 22 Planar Text Lecture 23 2.5Axis Planar Mill Section 3: NX 2312 Milling Contour Operations (3 Axis operations) Lecture 24 Cavity Mill Rough operation Lecture 25 Cavity Mill Lecture 26 Cavity Mill Lecture 27 Cavity Mill Lecture 28 REST Mill Lecture 29 Plunge mill Rough operation Lecture 30 Z LEVEL PROFILE STEEP Lecture 31 ZLEVEL PROFILE EXERCISE Lecture 32 ZLevel Corner Lecture 33 Quick Roughing Lecture 34 3D Adaptive Roughing milling Lecture 35 3D Adaptive Roughing milling Lecture 36 3D Adaptive Roughing milling Lecture 37 Area Mill Finishing operation Lecture 38 Area Mill Finishing operation Lecture 39 Area Mill Finishing operation Lecture 40 Area Mill Finishing operation Lecture 41 Fixed Axis Guiding Curve finishing operation Lecture 42 Fixed Axis Guiding Curve finishing operation Lecture 43 ZLevel UnderCut Lecture 44 Flow Cut Drive method Lecture 45 Curve drive operation Lecture 46 Solid Profile operation Lecture 47 Profile 3D operation Lecture 48 Streamline Finishing operation Lecture 49 Streamline Finishing operation Lecture 50 Contour Surface Drive finishing operation Lecture 51 Contour Surface Drive finishing operation Lecture 52 contour Text Engraving operation Lecture 53 3_AXIS_DEBURRING Lecture 54 Multi setup toolpath (IPW Blank) Section 4: NX 2312 Milling Cutting Parameters & Non-Cutting Moves Lecture 55 Non-Cutting Move (Engage & Retract) Lecture 56 Cutting Parameters (Cut Level) Lecture 57 Cutting Parameters Lecture 58 How to Trim toolpath and Divide toolpath Lecture 59 How to transform toolpath Lecture 60 Toolpath SUB Options (Toolpath check, Validity Report etc) Lecture 61 How to create 3Axis post processer Section 5: Hole machining operations Lecture 62 Spot Drill & Drilling Lecture 63 Deep Hole Drilling Lecture 64 Hole milling Lecture 65 Boss Milling Lecture 66 Radial Groove Milling Lecture 67 Hole chamfer mill Section 6: NX 2312 Milling 3 Axis Projects Lecture 68 Project 1 Lecture 69 Project 2 Lecture 70 Project 3 Lecture 71 Project Cavity Section 7: Rotary MILL (4Axis Milling operations) Lecture 72 TURN MILL Rough operation Lecture 73 TURN MILL Rough operation Lecture 74 Rotary_Roughing Lecture 75 Rotary_Roughing operation Any Technical students. 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Free Download Mastering AWS Serverless - Hands-On with Core AWS Services Published 9/2024 Created by Anton Voroniuk MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 31 Lectures ( 3h 8m ) | Size: 2 GB Your Guide to AWS Serverless: Building Robust Cloud Applications What you'll learn: Understand the fundamentals of AWS Lambda and its essential role in serverless architecture. Create and deploy Lambda functions in the AWS console and automate deployments using the AWS Cloud Development Kit (CDK). Integrate AWS Lambda with API Gateway to build and manage scalable APIs that handle various data formats. Leverage DynamoDB for scalable data storage and seamlessly integrate it with your serverless applications. Apply best practices for optimizing and scaling serverless applications to ensure high performance and reliability. Troubleshoot and resolve common challenges in serverless architecture, ensuring smooth and efficient operations. Requirements: No prior experience with AWS is required, but basic programming knowledge will be helpful. Description: Are you ready to dive into the world of serverless applications but feel daunted by AWS's vast ecosystem? Do you want to learn how to build scalable, efficient applications using AWS Lambda, API Gateway, and other key services, but don't know where to start? Or maybe you're asking: How do I create a serverless API? How do I connect AWS services seamlessly? And how can I automate my deployments with ease? Your search ends here!Welcome to this practical, hands-on course designed to simplify AWS for you. We'll tackle the most crucial aspects of building and deploying serverless applications, equipping you with the skills to bring your projects to life.WHAT YOU'LL LEARN IN THIS COURSE:Understanding AWS Lambda: Get a solid grasp of AWS Lambda, its role in serverless architecture, and why it's a game-changer for scalable applications.Creating and Deploying Lambda Functions: Explore the process of setting up and configuring Lambda functions, from the basics to advanced deployment using the AWS Cloud Development Kit (CDK).Integrating with API Gateway: Learn how to create and connect APIs using API Gateway, making your Lambda functions accessible to the world while handling various data formats efficiently.Leveraging DynamoDB: Dive into DynamoDB to understand how it complements your serverless applications by providing scalable, high-performance data storage.Optimizing and Scaling: Refine your serverless architecture with best practices in automation, integration, and performance tuning to ensure your applications run smoothly and efficiently.WHY ENROLL IN THIS COURSE?Expert Guidance: Benefit from years of cloud computing experience as complex AWS concepts are broken down into easy-to-understand steps.Hands-On Learning: Gain practical experience through actionable, step-by-step tutorials that focus on real-world applications.Comprehensive Resources: Access valuable tools like checklists, templates, and project files to reinforce your learning.Continuous Support: Receive personalized guidance and answers to your questions throughout the course.Lifetime Access: Enjoy ongoing access to the course content and all future updates.Udemy Certificate: Earn a certificate of completion to showcase your newfound skills.WHY THIS COURSE?This course is designed with a strong focus on practical, real-world applications. By the end of the course, you won't just know how AWS serverless technologies work-you'll be able to build and manage your own serverless applications with confidence.WHY TRUST US?AWS Certified Solutions Architect Professional: We hold the AWS Certified Solutions Architect Professional certification, one of the most respected and challenging certifications in the cloud industry. This certification validates my deep understanding of AWS architecture and my ability to design and implement complex, scalable, and secure cloud solutions.Real-World Experience: My career has taken me from working in fast-paced start-ups to leading the development of scalable systems in growing companies. I've played a crucial role in building cloud infrastructures from the ground up, leveraging AWS serverless technologies like Lambda, API Gateway, S3, and DynamoDB to ensure rapid scaling while keeping costs under control.Entrepreneurship: I'm also the founder of my own web development company, where we specialize in creating custom web applications. My company's success is built on the robust, scalable systems we design on AWS. This hands-on experience allows me to bring real-world insights into the course, helping you understand not just the theory, but the practical application of AWS serverless technologies.WORRIED ABOUT COMMITTING? DON'T BE.This course comes with a 30-day money-back guarantee, so you can enroll with confidence.Don't miss this chance to master AWS and build powerful serverless applications. Enroll now and take your cloud computing skills to the next level! 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Artist: Marie & Veronica Kuijken Title: W. A. Mozart: Sonatas for four hands Year Of Release: 2011 Label: Challenge Classics Genre: Classical, Piano Quality: FLAC (tracks) [24Bit/96kHz] Total Time: 01:16:50 Total Size: 1,18 GB (d.booklet) Recorded: 14-16 December 2009, Galaxy Studios, Mol, Belgium. AllMusic Review by James Manheim: Sisters Marie and Veronica Kuijken say that their familial relationship to conducting veteran Sigiswald Kuijken "cannot be denied but on the other hand, should not be too strongly stressed." Fair enough, and with this release covering Mozart's keyboard duet music they enter chronological territory in which the elder Kuijken was never terribly comfortable and do well. They play paired modern copies of an instrument by German builder Andreas Stein: not the usual choice for Mozart's Vienna period, but a sound he was known to have liked. And they get excellent results. The volume top end of this fortepiano (not conventionally "pianoforte" as the credits state) is not big, but the instruments are agile in fast passagework and, more important, capable of an exceptional variety of textures and attacks. The players exploit these beautifully, often creating almost orchestral effects. Sample the Adagio introduction of the Sonata for piano four hands in F major, K. 497 (track 4), with all the shades of color that emerge from its murky chromaticism. Even in the big outer movements the division between full textures and lightly accompanied melody is shaded off in interesting ways. Then, when Mozart does exploit the full capabilities of his new instrument at climaxes, the effect is stirring. Props also go to the Challenge Classics engineers, working at Galaxy Studios in the Belgian resort town of Mol; they create an intimate sound that picks up the details and stands in convincingly for an 18th century drawing room. A really fresh Mozart recording, strongly recommended. Tracklist: Wolfgang Amadeus Mozart (1756-1791) Sonata for Two Pianos in D major KV448 (375a) 1 Allegro con spirito 8:35 2 Andante 9:17 3 Molto allegro 6:58 Sonata for Piano Four Hands in F major KV497 4 Adagio - Allegro di molto 9:12 5 Andante 10:31 6 Allegro 8:04 Sonata for Piano Four Hands in C major KV521 7 Allegro 9:30 8 Andante 6:25 9 Allegretto 8:12 ********************************* Marie Kuijken, piano Veronica Kuijken, piano http://rapidgator.net/file/3b7a5db3d8490057491a4757b2b08ae1/MandVKkensharpM-Sf4h011H.part1.rar.html http://rapidgator.net/file/1345ec45fbcc20ec891a7859b7e61b4f/MandVKkensharpM-Sf4h011H.part2.rar.html http://ssh.tf/jxDPmAUxP/MandVKkensharpM-Sf4h011H.part1.rar http://ssh.tf/hM1MPMtxP/MandVKkensharpM-Sf4h011H.part2.rar http://uploaded.net/file/ftnhyppf/MandVKkensharpM-Sf4h011H.part1.rar http://uploaded.net/file/94u58k8z/MandVKkensharpM-Sf4h011H.part2.rar

Artist: Sugar Ray & The Bluetones Title: Hands Across The Table Year Of Release: 2005 Label: Severn Records Genre: Modern Electric Blues, Harmonica Blues Quality: 320 kbps Total Time: 48:55 Total Size: 113 MB Tracklist: 01. Hands Across The Table (5:49) 02. I Done Got Wise (4:27) 03. Dark Roads Calling (4:19) 04. Livin' A Lie (4:34) 05. Cloud Cover (2:52) 06. Say You Love Me (Before I Hang Up) (3:10) 07. That's My Desire (3:13) 08. (I'm Gonna Break Into) Folsom Prison (3:12) 09. I Wanna Marry You Girl (2:29) 10. I Won't Leave Home No More (4:17) 11. River Stay 'way From My Door (3:32) 12. The Last Blues Song (5:36) 13. End Time (1:19) Ray Norcia is known as a blues harmonica ace, but when all is said and done, his greatest strength may well be his voice, and when he sings at his best, he brings a touch of country and a little bit of jazz swing to the blues. Hands Across the Table, his third release on David Earl's Severn Records, and the first to feature new guitarist Paul Size, doesn't push for too much. There's plenty of harp soloing here, naturally, and things are helped out immensely by the presence of the Providence Horns on several tracks, which adds a solid punch to the rhythm section, but things don't really rise much above journeyman blues until halfway through the album when Norcia decides to let in the country R&B on the Fats Domino-styled reworking of Frankie Laine's "That's My Desire." A case could be made that Norcia is the Charlie Rich of East Coast blues, and on "I Wanna Marry You Girl" his vocal strikes close to the spot where country and the blues still have a shared agenda. His voice even sounds a little bit like the great Jack Teagarden on the two best tracks here, the jazzy "River Stay 'Way from My Door" and the magnificent "The Last Blues Song," which features the subtle and perfectly nuanced phrasing of a master vocalist. No one is suggesting that Norcia toss away his harps -- his driving (but not overdriven) tone on harmonica is always a plus -- but this man can sing, and not just the blues. ~Review by Steve Leggett http://rapidgator.net/file/16db0bb06e11422d61dd9593f6a18391/SugarRayTable2005.rar.html http://ssh.tf/xhzYam0DJ/SugarRayTable2005.rar http://uploaded.net/file/8t9ijytn/SugarRayTable2005.rar

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