Search results for Foundation Models

Found 566 documents, 5953 searched:

• What Are Foundation Models and How Do They Work?

  Foundation models represent a significant advancement in AI, enabling versatile and high-performing models that can be applied across various domains, such as NLP, computer vision, and multimodal tasks.

  https://www.kdnuggets.com/2023/05/foundation-models-work.html

• The Case of Homegrown Large Language Models

  Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.

  https://www.kdnuggets.com/the-case-of-homegrown-large-language-models

• A Comprehensive List of Resources to Master Large Language Models

  Large Language Models (LLMs) have now become an integral part of various applications. This article provides an extensive list of resources for anyone interested to dive into the world of LLMs.

  https://www.kdnuggets.com/a-comprehensive-list-of-resources-to-master-large-language-models

• How to Make Large Language Models Play Nice with Your Software Using LangChain

  Beyond simply chatting with an AI model and how LangChain elevates LLM interactions with humans.

  https://www.kdnuggets.com/how-to-make-large-language-models-play-nice-with-your-software-using-langchain

• Introduction to Giskard: Open-Source Quality Management for AI Models

  To solve the conundrum of ensuring the quality of AI models in production — especially given the emergence of LLMs — we are thrilled to announce the official launch of Giskard, the premier open-source AI quality management system.

  https://www.kdnuggets.com/2023/11/giskard-introduction-giskard-opensource-quality-management-ai-models

• 7 Steps to Mastering Large Language Models (LLMs)

  Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.

  https://www.kdnuggets.com/7-steps-to-mastering-large-language-models-llms

• An Excellent Resource To Learn The Foundations Of Everything Underneath ChatGPT

  In this article, you will learn the fundamentals of what constitutes the core of ChatGPT (and the Large Language Models).

  https://www.kdnuggets.com/023/08/excellent-resource-learn-foundations-everything-underneath-chatgpt.html

• Generative AI with Large Language Models: Hands-On Training

  This 2-hour training covers LLMs, their capabilities, and how to develop and deploy them. It uses hands-on code demos in Hugging Face and PyTorch Lightning.

  https://www.kdnuggets.com/2023/07/generative-ai-large-language-models-handson-training.html

• Segment Anything Model: Foundation Model for Image Segmentation

  Understanding Meta AI Latest Universal Segmentation Model.

  https://www.kdnuggets.com/2023/07/segment-anything-model-foundation-model-image-segmentation.html

• More Free Courses on Large Language Models

  Interested in learning about large language models? Get up and running with these free courses from DeepLearning.AI, Google Cloud, Udacity, and more.

  https://www.kdnuggets.com/2023/06/free-courses-large-language-models.html

• A Deep Dive into GPT Models: Evolution & Performance Comparison

  The blog focuses on GPT models, providing an in-depth understanding and analysis. It explains the three main components of GPT models: generative, pre-trained, and transformers.

  https://www.kdnuggets.com/2023/05/deep-dive-gpt-models.html

• DINOv2: Self-Supervised Computer Vision Models by Meta AI

  Unleashing the Potential of Computer Vision with DINOv2: A Groundbreaking Self-Supervised Model by Meta AI.

  https://www.kdnuggets.com/2023/05/dinov2-selfsupervised-computer-vision-models-meta-ai.html

• What are Large Language Models and How Do They Work?

  Large language models represent a significant advancement in natural language processing and have transformed the way we interact with language-based technology. Learn why they’re important and how they work.

  https://www.kdnuggets.com/2023/05/large-language-models-work.html

• Fine-Tuning OpenAI Language Models with Noisily Labeled Data

  Reduce LLM prediction error by 37% via data-centric AI.

  https://www.kdnuggets.com/2023/04/finetuning-openai-language-models-noisily-labeled-data.html

• Top Free Courses on Large Language Models

  Interested in learning how ChatGPT and other AI chatbots work under the hood? Look no further. Check out these free courses and resources on large language models from Stanford, Princeton, ETH, and more.

  https://www.kdnuggets.com/2023/03/top-free-courses-large-language-models.html

• 6 Predictive Models Every Beginner Data Scientist Should Master">6 Predictive Models Every Beginner Data Scientist Should Master

  Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.

  https://www.kdnuggets.com/2021/12/6-predictive-models-every-beginner-data-scientist-master.html

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 5

  Training efficient deep learning models with any software tool is nothing without an infrastructure of robust and performant compute power. Here, current software and hardware ecosystems are reviewed that you might consider in your development when the highest performance possible is needed.

  https://www.kdnuggets.com/2021/07/high-performance-deep-learning-part5.html

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 2

  As your organization begins to consider building advanced deep learning models with efficiency in mind to improve the power delivered through your solutions, the software and hardware tools required for these implementations are foundational to achieving high-performance.

  https://www.kdnuggets.com/2021/06/high-performance-deep-learning-part2.html

• Feature Store as a Foundation for Machine Learning

  With so many organizations now taking the leap into building production-level machine learning models, many lessons learned are coming to light about the supporting infrastructure. For a variety of important types of use cases, maintaining a centralized feature store is essential for higher ROI and faster delivery to market. In this review, the current feature store landscape is described, and you can learn how to architect one into your MLOps pipeline.

  https://www.kdnuggets.com/2021/02/feature-store-foundation-machine-learning.html

• MLOps Is Changing How Machine Learning Models Are Developed

  Delivering machine learning solutions is so much more than the model. Three key concepts covering version control, testing, and pipelines are the foundation for machine learning operations (MLOps) that help data science teams ship models quicker and with more confidence.

  https://www.kdnuggets.com/2020/12/mlops-changing-machine-learning-developed.html

• Foundations of Data Science: The Free eBook

  As has become tradition on KDnuggets, let's start a new week with a new eBook. This time we check out a survey style text with a variety of topics, Foundations of Data Science.

  https://www.kdnuggets.com/2020/07/foundations-data-science-free-ebook.html

• Google Open Sources MobileNetV3 with New Ideas to Improve Mobile Computer Vision Models

  The latest release of MobileNets incorporates AutoML and other novel ideas in mobile deep learning.

  https://www.kdnuggets.com/2019/12/google-open-sources-mobilenetv3-improve-mobile-computer-vision-models.html

• All Models Are Wrong – What Does It Mean?

  During your adventures in data science, you may have heard “all models are wrong.” Let’s unpack this famous quote to understand how we can still make models that are useful.

  https://www.kdnuggets.com/2019/06/all-models-are-wrong.html

• 3 Main Approaches to Machine Learning Models

  Machine learning encompasses a vast set of conceptual approaches. We classify the three main algorithmic methods based on mathematical foundations to guide your exploration for developing models.

  https://www.kdnuggets.com/2019/06/main-approaches-machine-learning-models.html

• How to Monitor Machine Learning Models in Real-Time

  We present practical methods for near real-time monitoring of machine learning systems which detect system-level or model-level faults and can see when the world changes.

  https://www.kdnuggets.com/2019/01/monitor-machine-learning-real-time.html

• Leveraging Agent-based Models (ABM) and Digital Twins to Prevent Injuries

  Both athletes and machines deal with inter-twined complex systems (where the interactions of one complex system can have a ripple effect on others) that can have significant impact on their operational effectiveness.

  https://www.kdnuggets.com/2018/08/leveraging-agent-based-models-digital-twins-prevent-injuries.html

• Overview and benchmark of traditional and deep learning models in text classification

  In this post, traditional and deep learning models in text classification will be thoroughly investigated, including a discussion into both Recurrent and Convolutional neural networks.

  https://www.kdnuggets.com/2018/07/overview-benchmark-deep-learning-models-text-classification.html

• Top Stories, Apr 16-22: 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning; Python Regular Expressions Cheat Sheet

  Also: Key Algorithms and Statistical Models for Aspiring Data Scientists; Why Deep Learning is perfect for NLP; Derivation of Convolutional Neural Network from Fully Connected Network Step-By-Step; Top 8 Free Must-Read Books on Deep Learning

  https://www.kdnuggets.com/2018/04/top-news-week-0416-0422.html

• 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning">7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning

  It is vital to have a good understanding of the mathematical foundations to be proficient with data science. With that in mind, here are seven books that can help.

  https://www.kdnuggets.com/2018/04/7-books-mathematical-foundations-data-science.html

• Laying the Foundation for a Data Team

  Admittedly, there is a lot more to building a successful data team, and we would be lying if we pretended we have it all figured out. But hopefully focusing on the elements in this post is a good start.

  https://www.kdnuggets.com/2016/12/laying-foundation-data-team.html

• Recycling Deep Learning Models with Transfer Learning

  Deep learning exploits gigantic datasets to produce powerful models. But what can we do when our datasets are comparatively small? Transfer learning by fine-tuning deep nets offers a way to leverage existing datasets to perform well on new tasks.

  https://www.kdnuggets.com/2015/08/recycling-deep-learning-representations-transfer-ml.html

• Do We Need More Training Data or More Complex Models?

  Do we need more training data? Which models will suffer from performance saturation as data grows large? Do we need larger models or more complicated models, and what is the difference?

  https://www.kdnuggets.com/2015/03/more-training-data-or-complex-models.html

• Visual ChatGPT: Microsoft Combine ChatGPT and VFMs

  Microsoft announces Visual ChatGPT for talking, drawing, and editing with visual foundation models.

  https://www.kdnuggets.com/2023/03/visual-chatgpt-microsoft-combine-chatgpt-vfms.html

• The Art of Effective Prompt Engineering with Free Courses and Certifications

  Have you ever asked yourself ‘Am I using these generative AI tools correctly?

  https://www.kdnuggets.com/the-art-of-effective-prompt-engineering-with-free-courses-and-certifications

• Free Amazon Courses to Learn Generative AI: For All Levels

  Upskill with these free courses to master generative AI, regardless of your job title.

  https://www.kdnuggets.com/free-amazon-courses-to-learn-generative-ai-for-all-levels

• Talk Directly to Your Data Using Everyday Language

  DataGPT is a conversational AI data analytics software provider that delivers analysis at the speed of business questions. DataGPT empowers anyone, in any company, to talk directly to their data using everyday language, revealing expert answers to complex questions instantly.

  https://www.kdnuggets.com/2023/12/datagpt-talk-directly-data-everyday-language

• Generative AI Key Terms Explained

  This article introduces and explains key terms important to generative AI, and links to additional resources to learn more.

  https://www.kdnuggets.com/generative-ai-key-terms-explained

• Gartner Hype Cycle for AI in 2023

  Let’s dive into how the AI landscape has rapidly evolved with the advent of new Generative AI technologies.

  https://www.kdnuggets.com/gartner-hype-cycle-for-ai-in-2023

• Don’t Miss Out! Enroll in FREE Courses Before 2023 Ends

  Complete the last quarter of the year and improve your skills to get you kickstarted for 2024’s self-development plan with these FREE courses.

  https://www.kdnuggets.com/dont-miss-out-enroll-in-free-courses-before-2023-ends

• This Week in AI, July 31: AI Titans Pledge Responsible Innovation • The Beluga Invasion

  "This Week in AI" on KDnuggets provides a weekly roundup of the latest happenings in the world of Artificial Intelligence. Covering a wide range of topics from recent headlines, scholarly articles, educational resources, to spotlight research, the post is designed to keep readers up-to-date and informed about the ever-evolving field of AI.

  https://www.kdnuggets.com/2023/07/this-week-ai-2023-07-31.html

• Ensuring Reliable Few-Shot Prompt Selection for LLMs

  Data-centric techniques for better Few-Shot Prompting when applying LLMs to Noisy Real-World Data.

  https://www.kdnuggets.com/2023/07/ensuring-reliable-fewshot-prompt-selection-llms.html

• Orca LLM: Simulating the Reasoning Processes of ChatGPT

  Orca is a 13B parameter model that learns to imitate the reasoning processes of LFMs. It uses progressive learning and teacher assistance from ChatGPT to overcome capacity gaps. By leveraging rich signals from GPT-4, Orca enhances its capabilities and improves imitation learning performance.

  https://www.kdnuggets.com/2023/06/orca-llm-reasoning-processes-chatgpt.html

• KDnuggets News, May 24: Free ChatGPT Course: Use The OpenAI API to Code 5 Projects • Super Bard: The AI That Can Do It All and Better

  Free ChatGPT Course: Use The OpenAI API to Code 5 Projects • Super Bard: The AI That Can Do It All and Better • Bayesian vs Frequentist Statistics in Data Science • A Beginner's Guide to Anomaly Detection Techniques in Data Science • Introduction to Correlation

  https://www.kdnuggets.com/2023/n19.html

• Overview of the AI Index Report: Measuring Trends in Artificial Intelligence

  Let’s go over what the Stanford Institute for Human-Centered Artificial Intelligence (HAI) found out about Artificial intelligence.

  https://www.kdnuggets.com/2023/04/overview-ai-index-report-measuring-trends-artificial-intelligence.html

• Beyond Accuracy: Evaluating & Improving a Model with the NLP Test Library

  John Snow Labs has learned a lot about testing and delivering Responsible NLP models: not only in terms of policies and goals, but by building day-to-day tools for data scientists. The nlptest library aims to share these tools with the open-source community.

  https://www.kdnuggets.com/2023/04/john-snow-beyond-accuracy-nlp-test-library.html

• Key Data Science, Machine Learning, AI and Analytics Developments of 2022

  It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

  https://www.kdnuggets.com/2022/12/key-data-science-machine-learning-ai-analytics-developments-2022.html

• Trust in AI is Priceless

  Many machine learning models fail to deliver. Sadly, it’s often due to a lack of focus on data quality.

  https://www.kdnuggets.com/2022/08/trust-ai-priceless.html

• A Roadmap to Machine Learning Algorithm Selection

  The goal of this article is to help demystify the process of selecting the proper machine learning algorithm, concentrating on "traditional" algorithms and offering some guidelines for choosing the best one for your application.

  https://www.kdnuggets.com/roadmap-to-machine-learning-algorithm-selection

• Ollama Tutorial: Running LLMs Locally Made Super Simple

  Want to run large language models on your machine? Learn how to do so using Ollama in this quick tutorial.

  https://www.kdnuggets.com/ollama-tutorial-running-llms-locally-made-super-simple

• 5 Free Stanford AI Courses

  Want to learn more about Artificial Intelligence? These five courses from Stanford will help you kickstart that journey.

  https://www.kdnuggets.com/5-free-stanford-ai-courses

• Everything You Need to Know About MLOps: A KDnuggets Tech Brief

  KDnuggets' first Tech Brief is now available, and it outlines everything you need to know about MLOps.

  https://www.kdnuggets.com/tech-brief-everything-you-need-to-know-about-mlops

• 3 New Prompt Engineering Resources to Check Out

  Check out these 3 recent prompt engineering resources to help you take your prompting game to the next level.

  https://www.kdnuggets.com/3-new-prompt-engineering-resources

• A Starter Guide to Data Structures for AI and Machine Learning

  This article is an overview of a particular subset of data structures useful in machine learning and AI development, along with explanations and example implementations.

  https://www.kdnuggets.com/guide-data-structures-ai-and-machine-learning

• Integrating Generative AI in Content Creation

  Content creation can be tedious work and takes much of our time. With Generative AI, we can improve the quality and efficiency of our work.

  https://www.kdnuggets.com/integrating-generative-ai-in-content-creation

• Data Scientist Breakdown: Skills, Certifications, and Salary

  Learn about the growing demand for data scientists in the year 2024.

  https://www.kdnuggets.com/data-scientist-breakdown-skills-certifications-and-salary

• How to Standout and Safeguard Your Job in the Generative AI Era

  The secret recipe to excel in your career in AI.

  https://www.kdnuggets.com/how-to-standout-and-safeguard-your-job-in-the-generative-ai-era

• 5 Free Stanford University Courses to Learn Data Science

  Are you an aspiring data scientist? If so, these free data science courses from Stanford will help you move forward in your data science journey!

  https://www.kdnuggets.com/5-free-stanford-university-courses-to-learn-data-science

• Level Up with DataCamp’s New Azure Certification

  Enhance your data profession by learning Azure, a high-demand skill and expertise.

  https://www.kdnuggets.com/level-up-with-datacamps-new-azure-certification

• 5 Free Courses to Master Math for Data Science

  Want to learn math for data science? Check out these three courses to learn linear algebra, calculus, statistics, and more.

  https://www.kdnuggets.com/5-free-courses-to-master-math-for-data-science

• The Ultimate Roadmap to Becoming Specialised in The Tech Industry

  There is more than one route that you can take to be a competitive tech professional.

  https://www.kdnuggets.com/the-ultimate-roadmap-to-becoming-specialised-in-the-tech-industry

• The Only Interview Prep Course You Need for Deep Learning

  Dive into the 50 most popular deep-learning questions to get you ready for your interview.

  https://www.kdnuggets.com/the-only-interview-prep-course-you-need-for-deep-learning

• 5 AI Courses From Google to Advance Your Career

  Start your AI journey today with these courses from Google.

  https://www.kdnuggets.com/5-ai-courses-from-google-to-advance-your-career

• A Collection Of Free Data Science Courses From Harvard, Stanford, MIT, Cornell, and Berkeley

  Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.

  https://www.kdnuggets.com/a-collection-of-free-data-science-courses-from-harvard-stanford-mit-cornell-and-berkeley

• GitHub Actions For Machine Learning Beginners

  Learn how to automate machine learning training and evaluation using scikit-learn pipelines, GitHub Actions, and CML.

  https://www.kdnuggets.com/github-actions-for-machine-learning-beginners

• Statistics for Machine Learning: What you need to know to become a certified expert

  Ready to become a SAS Certified Specialist in Statistics for Machine Learning? Here’s everything you need to know about the recently released certification from SAS. 

  https://www.kdnuggets.com/2024/03/sas-statistics-machine-learning-need-know-become-certified-expert

• Exploring the Potential of Transfer Learning in Small Data Scenarios

  This article has shown how transfer learning can be used to help you solve small data problems, while also highlighting the benefits of using it in other fields.

  https://www.kdnuggets.com/exploring-the-potential-of-transfer-learning-in-small-data-scenarios

• Unlock the Secrets of LLMs in 60-Minute with Andrej Karpathy

  Karpathy's talk provides a comprehensive yet accessible introduction to large language models, explaining their capabilities, future potential, and associated security risks in an engaging manner.

  https://www.kdnuggets.com/unlock-the-secrets-of-llms-in-a-60-minute-with-andrej-karpathy

• 5 Courses to Master LLMs

  The future world is full of LLM, and you don’t want to miss this most sought skill.

  https://www.kdnuggets.com/5-courses-to-master-llms

• Collection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps

  Begin your data professional journey from the basics of statistics to building a production-grade AI application.

  https://www.kdnuggets.com/collection-of-free-courses-to-learn-data-science-data-engineering-machine-learning-mlops-and-llmops

• Free Mastery Course: Become a Large Language Model Expert

  It is a self-paced course that covers fundamental and advanced concepts of LLMs and teaches how to deploy them in production.

  https://www.kdnuggets.com/ree-mastery-course-become-a-large-language-model-expert

• Python in Finance: Real Time Data Streaming within Jupyter Notebook

  Learn a modern approach to stream real-time data in Jupyter Notebook. This guide covers dynamic visualizations, a Python for quant finance use case, and Bollinger Bands analysis with live data.

  https://www.kdnuggets.com/python-in-finance-real-time-data-streaming-within-jupyter-notebook

• Top 5 DataCamp Courses for Mastering Generative AI

  Learn the skills you require to kickstart your Generative AI journey with DataCamp - beginner, intermediate, and expert!

  https://www.kdnuggets.com/top-5-datacamp-courses-for-mastering-generative-ai

• Free Data Engineering Course for Beginners

  Interested in data engineering but don't know where to start? Get up to speed in data engineering fundamentals with this free course.

  https://www.kdnuggets.com/free-data-engineering-course-for-beginners

• The Only Free Course You Need To Become a MLOps Engineer

  Unlock the secrets to building, deploying, and monitoring models like a pro.

  https://www.kdnuggets.com/the-only-free-course-you-need-to-become-a-mlops-engineer

• Navigating Today’s Data and AI Market Uncertainty

  It’s more important than ever to think long-term about the analytics partnerships you forge. Are you choosing technologies that will stand the test of time? Are you choosing companies with proven track records?

  https://www.kdnuggets.com/2024/02/altair-navigating-todays-data-ai-market-uncertainty

• Free Data Science Interview Book to Land Your Dream Job

  Are you preparing for your dream data science job but feeling overwhelmed by the vast amount of online resources? Look no further than this free and easily accessible web-based book to help you brush up on your skills and feel confident for your upcoming interview.

  https://www.kdnuggets.com/free-data-science-interview-book-to-land-your-dream-job

• 5 FREE Courses on AI and ChatGPT to Take You From 0-100

  Want to learn more about AI and ChatGPT in 2024 for FREE? Keep reading.

  https://www.kdnuggets.com/5-free-courses-on-ai-and-chatgpt-to-take-you-from-0-100

• Data Maturity: The Cornerstone of AI-Enabled Innovation

  This article outlines strategies for overcoming data maturity challenges and accelerating AI adoption.

  https://www.kdnuggets.com/data-maturity-the-cornerstone-of-ai-enabled-innovation

• 5 Free Courses to Break Into Data Analytics

  Looking to make a career in data analytics? Take the first steps today with these free courses.

  https://www.kdnuggets.com/5-free-courses-to-break-into-data-analytics

• Why LLMs Used Alone Can’t Address Your Company’s Predictive Needs

  LLMs aren't the right tool for most business applications. Find out why — and learn which AI techniques are a better match.

  https://www.kdnuggets.com/2024/01/pecan-llms-used-alone-cant-address-companys-predictive-needs

• The Only Free Course You Need To Become a Professional Data Engineer

  Data Engineering ZoomCamp offers free access to reading materials, video tutorials, assignments, homeworks, projects, and workshops.

  https://www.kdnuggets.com/the-only-free-course-you-need-to-become-a-professional-data-engineer

• 7 Steps to Landing Your First Data Science Job

  Want to make a successful career switch to data science? From learning data science concepts to cracking interviews, read this guide to move one step closer to your first data science job.

  https://www.kdnuggets.com/7-steps-to-landing-your-first-data-science-job

• AI Prompt Engineers are Making $300k/y

  Prompt engineering and generative AI are becoming hotter by the day. Be part of the heat!

  https://www.kdnuggets.com/ai-prompt-engineers-are-making-300ky

• 5 Free University Courses to Learn Data Science

  Looking to make a career in data science? Here are five free university courses to help you get started.

  https://www.kdnuggets.com/5-free-university-courses-to-learn-data-science

• Discover the World of Computer Vision: Introducing MLM’s Latest OpenCV Ebook

  Today, we're proud to announce a significant addition to our catalog at Machine Learning Mastery. Known for our detailed, code-centric guides, we're taking a leap further into the realms of Computer Vision with our latest offering.

  https://www.kdnuggets.com/2024/01/mlm-discover-the-world-of-computer-vision-ebook

• Kickstart Your NLP Journey with These 5 Free Courses

  Want to transition into the NLP field without wanting to spend a buck? You can - with these 5 courses.

  https://www.kdnuggets.com/kickstart-your-nlp-journey-with-these-5-free-courses

• Can Data Governance Address AI Fatigue?

  This post explains how data governance can help data scientists handle AI fatigue and build robust models.

  https://www.kdnuggets.com/can-data-governance-address-ai-fatigue

• Phi-2: Small LMs that are Doing Big Things

  Microsoft's small language model (SLM) has big things for the tech world!

  https://www.kdnuggets.com/phi-2-small-lms-that-are-doing-big-things

• Enroll in a 4-year Computer Science Degree Program For Free

  Enroll in the free OSSU Computer Science degree program and launch your career in tech today. Learn from high-quality courses from professors from leading universities like MIT, Harvard, and Princeton.

  https://www.kdnuggets.com/enroll-in-a-4-year-computer-science-degree-program-for-free

• Prompt Engineering 101: Mastering Effective LLM Communication

  This article serves as an introduction to those looking to understanding what prompt engineering is, and to learn more about some of the most important techniques currently used in the discipline.

  https://www.kdnuggets.com/prompt-engineering-101-mastering-effective-llm-communication

• 25 Free Books to Master SQL, Python, Data Science, Machine Learning, and Natural Language Processing

  Discover a collection of best books to start your data career or master a new skill, all for free!

  https://www.kdnuggets.com/25-free-books-to-master-sql-python-data-science-machine-learning-and-natural-language-processing

• 25 Free Courses to Master Data Science, Data Engineering, Machine Learning, MLOps, and Generative AI

  Discover a collection of top courses to launch your dream career or master a new skill, all for free!

  https://www.kdnuggets.com/25-free-courses-to-master-data-science-data-engineering-machine-learning-mlops-and-generative-ai

• Free Harvard Course: Introduction to AI with Python

  Looking for a great course to learn Artificial Intelligence with Python? Check out this free course from Harvard University.

  https://www.kdnuggets.com/free-harvard-course-introduction-to-ai-with-python

• AI in Intimate Roles: Girlfriends and Therapists

  This article is a brief overview of the field of Emotion AI, and the potential applications of its technology in intimate roles.

  https://www.kdnuggets.com/ai-in-intimate-roles-girlfriends-and-therapists

• 5 Tools to Help Build Your LLM Apps

  Whether you're a seasoned ML engineer or a new LLM developer, these tools will help you get more productive and accelerate the development and deployment of your AI projects.

  https://www.kdnuggets.com/5-tools-to-help-build-your-llm-apps

• 5 Super Cheat Sheets to Master Data Science

  The collection of super cheat sheets covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning.

  https://www.kdnuggets.com/5-super-cheat-sheets-to-master-data-science

• Types of Visualization Frameworks

  Matching your needs with your ideal visualization framework.

  https://www.kdnuggets.com/types-of-visualization-frameworks

• 10 GitHub Repositories to Master Machine Learning

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