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Free Download Mastering Ollama Build Private Local LLM Apps with Python Published 10/2024 Created by Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 43 Lectures ( 3h 13m ) | Size: 2.1 GB Run custom LLMs privately on your system-Use ChatGPT-like UI-Hands-on projects-No cloud or extra costs required What you'll learn Install and configure Ollama on your local system to run large language models privately. Customize LLM models to suit specific needs using Ollama's options and command-line tools. Execute all terminal commands necessary to control, monitor, and troubleshoot Ollama models. Set up and manage a ChatGPT-like interface, allowing you to interact with models locally. Utilize different model types-including text, vision, and code-generating models-for various applications. Create custom LLM models from a Modelfile file and integrate them into your applications. Build Python applications that interface with Ollama models using its native library and OpenAI API compatibility. Develop Retrieval-Augmented Generation (RAG) applications by integrating Ollama models with LangChain. Implement tools and function calling to enhance model interactions for advanced workflows. Set up a user-friendly UI frontend to allow users to interface and chat with different Ollama models. Requirements Basic Python Programming Knowledge Comfort with Command Line Interface (CLI) Description Are you concerned about data privacy and the high costs associated with using Large Language Models (LLMs)? If so, this course is the perfect fit for you. "Mastering Ollama: Build Private LLM Applications with Python" empowers you to run powerful AI models directly on your own system, ensuring complete data privacy and eliminating the need for expensive cloud services. By learning to deploy and customize local LLMs with Ollama, you'll maintain full control over your data and applications while avoiding the ongoing expenses and potential risks of cloud-based solutions.This hands-on course will take you from beginner to expert in using Ollama, a platform designed for running local LLM models. You'll learn how to set up and customize models, create a ChatGPT-like interface, and build private applications using Python-all from the comfort of your system.In this course, you will:Install and configure Ollama for local LLM model execution.Customize LLM models to suit your specific needs using Ollama's tools.Master command-line tools to control, monitor, and troubleshoot Ollama models.Integrate various models, including text, vision, and code-generating models, and even create your custom models.Build Python applications that interface with Ollama models using its native library and OpenAI API compatibility.Develop Retrieval-Augmented Generation (RAG) applications by integrating Ollama models with LangChain.Implement tools and function calling to enhance model interactions in terminal and LangChain environments.Set up a user-friendly UI frontend to allow users to chat with different Ollama models.Why is this course important?In a world where data privacy is growing, running LLMs locally ensures your data stays on your machine. This enhances data security and allows you to customize models for specialized tasks without external dependencies or additional costs.You'll engage in practical activities like building custom models, developing RAG applications that retrieve and respond to user queries based on your data, and creating interactive interfaces. Each section has real-world applications to give you the experience and confidence to build your local LLM solutions.Why choose this course?This course is uniquely crafted to make advanced AI concepts approachable and actionable. We focus on practical, hands-on learning, enabling you to build real-world solutions from day one. You'll dive deep into projects that bridge theory and practice, ensuring you gain tangible skills in developing local LLM applications. Whether you're new to large language models or seeking to enhance your existing abilities, this course provides all the guidance and tools you need to create private AI applications using Ollama and Python confidently.Ready to develop powerful AI applications while keeping your data completely private? Enroll today and seize full control of your AI journey with Ollama. Harness the capabilities of local LLMs on your own system and take your skills to the next level! Who this course is for Python Developers looking to expand their skill set by integrating Large Language Models (LLMs) into their applications. AI Enthusiasts and Practitioners interested in running and customizing local LLMs privately without relying on cloud services. Data Scientists and Machine Learning Engineers who want to understand and implement local AI models using Ollama and LangChain. Software Engineers aiming to develop secure AI applications on their own systems, maintaining full control over data and infrastructure. Students and Researchers exploring the capabilities of local LLMs and seeking hands-on experience with advanced AI technologies. Professionals Concerned with Data Privacy who need to process sensitive information without sending data to external servers or cloud platforms. Anyone Interested in Building ChatGPT-like Applications Locally, and wants to gain practical experience through real-world projects. Beginners to LLMs and Ollama who have basic Python knowledge and are eager to learn about AI application development. Beginners to LLMs and Ollama who have basic Python knowledge and are eager to learn about AI application development. Educators and Trainers seeking to incorporate AI and LLMs into their curriculum or training programs without relying on external services. 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Free Download Ollama Tutorial for Beginners - Run LLMs locally with ease Published 10/2024 Created by Studyopedia Trainings MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 11 Lectures ( 30m ) | Size: 257 MB Learn how to use Ollama to work with LLMs. Also, create a ChatGPT-like model locally with Ollama. What you'll learn Learn what is Ollama Work with different LLMs using Ollama locally Create a custom ChatGPT-like model with Ollama Learn all the Ollama commands Customize a model locally Requirements Knowledge of internet and web browser Description Welcome to the Ollama Course by Studyopedia !!!Ollama is an open-source platform to download, install, manage, run, and deploy large language models (LLMs). All this can be done locally with Ollama. LLM stands for Large Language Model. These models are designed to understand, generate, and interpret human language at a high level. FeaturesModel Library: Offers a variety of pre-built models like Llama 3.2, Mistral, etc.Customization: Allows you to customize and create your own modelsEasy: Provides a simple API for creating, running, and managing modelsCross-Platform: Available for macOS, Linux, and WindowsModelfile: Packages everything you need to run an LLM into a single Modelfile, making it easy to manage and run modelsPopular LLMs, such as Llama by Meta, Mistral, Gemma by Google's DeepMind, Phi by Microsoft, Qwen by Alibaba Clouse, etc., can run locally using Ollama.In this course, you will learn about Ollama and how it eases the work of a programmer running LLMs. We have discussed how to begin with Ollama, install, and tune LLMs like Lama 3.2, Mistral 7b, etc. We have also covered how to customize a model and create a teaching assistant like ChatBot locally by creating a modefile.**Lessons covered**Ollama - Introduction and FeaturesInstall Ollama Windows 11 locallyInstall Llama 3.2 Windows 11 locallyInstall Mistral 7b on Windows 11 locallyList all the models running on Ollama locallyList the models installed on your system with OllamaShow the information of a model using Ollama locallyHow to stop a running model on OllamaHow to run an already installed model on Ollama locallyCreate a custom GPT or customize a model with OllamaRemove any model from Ollama locallyNote: We have covered only open-source technologiesLet's start the journey! Who this course is for Beginner Machine Learning Developers Those who want to create a model Those who want to run LLMs locally Homepage https://www.udemy.com/course/ollama-tutorial/ Screenshot Rapidgator https://rg.to/file/da6f17e44ef0ef6fdce1f96a41280e95/mghdg.Ollama.Tutorial.for.Beginners..Run.LLMs.locally.with.ease.rar.html Fikper Free Download https://fikper.com/nU2BC7GVIe/mghdg.Ollama.Tutorial.for.Beginners..Run.LLMs.locally.with.ease.rar.html No Password - Links are Interchangeable

Free Download Mastering Local LLMs with Ollama and Python + Doing Projects Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 40m | Size: 5.15 GB Hands-On Projects with Ollama, Langchain, CrewAI, and HuggingFace to Enhance Your AI Skills and Transform Everyday Tasks What you'll learn Understanding LLMs: Gain a solid foundation in Large Language Models (LLMs) and their applications. Using Ollama: Learn how to utilize the Ollama library for various NLP tasks. LangChain Integration: Master the integration of LangChain for building complex applications with LLMs. Project Development: Develop practical projects that reinforce learning. Creating a Learning Python Tool with Ollama. Building a Video Describer that summarizes video content. Implementing a Chat with PDF feature using Ollama LLM. Developing a Chat with VIDEO application using Ollama LLM and Whisper for audio transcription. Designing a system to Get Model Answers based on long stories or texts. Creating a Chat with Your Note application to interact with personal notes. Building a Chat with Your Diary project to reflect on personal experiences and insights. Whisper Integration: Understand how to integrate Whisper for audio processing and transcription tasks. Hugging Face Models: Learn how to leverage Hugging Face models for text generation and other NLP tasks. Practical Skills: Acquire hands-on experience through coding exercises and project implementations. Problem-Solving Techniques: Develop skills to tackle real-world problems using LLMs and related technologies. Additional Benefits: Continuous updates with new projects to enhance learning and keep up with advancements in AI and NLP technologies. Requirements Basic Knowledge of Python Description Welcome! This comprehensive course is designed for individuals eager to dive into the world of Large Language Models (LLMs) and harness their power to create innovative applications that can simplify tasks in everyday life.Course OverviewIn this course, you will learn how to effectively utilize various libraries and frameworks, including Ollama, LangChain, CrewAI, and Hugging Face, to build practical projects that demonstrate the capabilities of LLMs. Through hands-on projects, you will gain a deep understanding of how these technologies work together to enhance productivity and creativity.What You Will LearnUnderstanding LLMs: Gain insights into the architecture and functioning of Large Language Models, including their applications in natural language processing (NLP).Ollama and LangChain: Learn how to leverage Ollama for efficient model deployment and LangChain for building complex applications that integrate multiple components seamlessly.Hugging Face Transformers: Explore the Hugging Face library to access a wide range of pre-trained models for various NLP tasks.Practical Applications: Implement real-world projects that showcase the power of LLMs in different contexts.Project HighlightsLearning Python Tool with Ollama: Create an interactive tool that helps users learn Python programming through guided exercises and instant feedback using an LLM.Make a Video Describer: Develop an application that generates descriptive text for video content, enhancing accessibility and understanding for users.Chat with PDF using Ollama LLM: Build a chat interface that allows users to ask questions about the content of PDF documents, providing instant answers powered by an LLM.Chat with VIDEO using Ollama LLM and Whisper: Combine video processing with speech recognition to create an application where users can interact with video content through natural language queries.Get Model Answers Based on Long Stories: Design a system that allows users to input long narratives or stories and receive concise answers or summaries from the model.Chat with Your Note: Create a personal note-taking application where users can interact with their notes using natural language queries, making information retrieval seamless.Chat with Your Diary: Develop a diary application that allows users to reflect on their entries and ask questions about their past experiences, promoting self-reflection and personal growth.Continuous LearningThis course is designed to be dynamic, with new projects added regularly to keep pace with advancements in technology and user needs. You will have the opportunity to explore new ideas and implement them in your projects, ensuring you stay ahead in the rapidly evolving field of AI and NLP.Who Should EnrollThis course is ideal for:Developers looking to expand their skill set in AI and machine learning.Data scientists interested in applying NLP techniques using state-of-the-art models.Anyone passionate about leveraging LLMs to create innovative applications that enhance productivity.Join us on this exciting journey as we explore the potential of Large Language Models through practical projects. By the end of this course, you will have the skills and knowledge needed to build your own applications using Ollama, LangChain, CrewAI, and Hugging Face, empowering you to make your life easier through technology. Enroll today and start mastering LLMs! Who this course is for Aspiring AI Developers: Individuals looking to build applications using LLMs. Data Scientists: Professionals wanting to enhance their data analysis skills with AI tools. Python Programmers: Developers interested in integrating LLMs into their Python projects. Students: Learners seeking practical experience with modern AI libraries and frameworks. AI Enthusiasts: Anyone passionate about exploring the capabilities of LLMs and their applications. Content Creators: Writers and creators wanting to leverage AI for content generation and enhancement. Educators: Teachers aiming to incorporate AI tools into their curriculum or projects. 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Free Download Zero to Hero in Ollama - Create Local LLM Applications Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 4m | Size: 1.13 GB Run customized LLM models on your system privately | Use ChatGPT like interface | Build local applications using Python What you'll learn Install and configure Ollama on your local system to run large language models privately. Customize LLM models to suit specific needs using Ollama's options and command-line tools. Execute all terminal commands necessary to control, monitor, and troubleshoot Ollama models Set up and manage a ChatGPT-like interface using Open WebUI, allowing you to interact with models locally Deploy Docker and Open WebUI for running, customizing, and sharing LLM models in a private environment. Utilize different model types, including text, vision, and code-generating models, for various applications. Create custom LLM models from a gguf file and integrate them into your applications. Build Python applications that interface with Ollama models using its native library and OpenAI API compatibility. Develop a RAG (Retrieval-Augmented Generation) application by integrating Ollama models with LangChain. Implement tools and agents to enhance model interactions in both Open WebUI and LangChain environments for advanced workflows. Requirements Basic Python knowledge and a computer capable of running Docker and Ollama are recommended, but no prior AI experience is required. Description Are you looking to build and run customized large language models (LLMs) right on your own system, without depending on cloud solutions? Do you want to maintain privacy while leveraging powerful models similar to ChatGPT? If you're a developer, data scientist, or an AI enthusiast wanting to create local LLM applications, this course is for you!This hands-on course will take you from beginner to expert in using Ollama, a platform designed for running local LLM models. You'll learn how to set up and customize models, create a ChatGPT-like interface, and build private applications using Python-all from the comfort of your own system.In this course, you will:Install and customize Ollama for local LLM model executionMaster all command-line tools to effectively control OllamaRun a ChatGPT-like interface on your system using Open WebUIIntegrate various models (text, vision, code generation) and even create your own custom modelsBuild Python applications using Ollama and its library, with OpenAI API compatibilityLeverage LangChain to enhance your LLM capabilities, including Retrieval-Augmented Generation (RAG)Deploy tools and agents to interact with Ollama models in both terminal and LangChain environmentsWhy is this course important? In a world where privacy is becoming a greater concern, running LLMs locally ensures your data stays on your machine. This not only improves data security but also allows you to customize models for specialized tasks without external dependencies.You'll complete activities like building custom models, setting up Docker for web interfaces, and developing RAG applications that retrieve and respond to user queries based on your data. Each section is packed with real-world applications to give you the experience and confidence to build your own local LLM solutions.Why this course? I specialize in making advanced AI topics practical and accessible, with hands-on projects that ensure you're not just learning but actually building real solutions. Whether you're new to LLMs or looking to deepen your skills, this course will equip you with everything you need.Ready to build your own LLM-powered applications privately? Enroll now and take full control of your AI journey with Ollama! Who this course is for AI enthusiasts who want to build and run customized LLM models privately on their local systems. Python developers seeking to integrate large language models into local applications for enhanced functionality. Data scientists who aim to create secure, private LLM-powered tools without relying on cloud-based solutions. Machine learning engineers looking to explore and customize open-source models using Ollama and LangChain. Tech professionals who want to develop RAG (Retrieval-Augmented Generation) applications using local data. Privacy-conscious developers interested in running AI models with full control over data and environment. Homepage https://www.udemy.com/course/ollama-starttech/ Rapidgator https://rg.to/file/2d7dd5c444abfa4daf3e8a639a481724/vxstd.Zero.to.Hero.in.Ollama.Create.Local.LLM.Applications.part2.rar.html https://rg.to/file/9d232f3c514a990af5c0903e62943dc5/vxstd.Zero.to.Hero.in.Ollama.Create.Local.LLM.Applications.part1.rar.html Fikper Free Download https://fikper.com/A3JSusQ6Hi/vxstd.Zero.to.Hero.in.Ollama.Create.Local.LLM.Applications.part1.rar.html https://fikper.com/W5rpLWDJZK/vxstd.Zero.to.Hero.in.Ollama.Create.Local.LLM.Applications.part2.rar.html No Password - Links are Interchangeable