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Are you tired of the limitations and potential privacy concerns associated with mainstream AI models like ChatGPT? Do you want to explore the vast and uncensored world of open-source Large Language Models (LLMs) right on your own PC? If so, the Udemy course ‘Open-Source LLMs: Unzensierte & sichere KI lokal auf dem PC’ is precisely what you need.
This comprehensive course dives deep into the exciting realm of open-source LLMs, demystifying concepts and providing practical, hands-on experience. It clearly outlines the advantages of open-source alternatives like Llama 3, Mistral, Grok, and others, highlighting their benefits over closed-source models, especially concerning censorship and data privacy.
The course excels in its practical approach. You’ll learn the essential requirements and the simplest methods to run these powerful LLMs locally, with a detailed walkthrough of installing and using LM Studio. It explores the crucial difference between censored and uncensored models and showcases a wide array of applications, from data analysis to building sophisticated chatbots and AI agents.
Prompt engineering is a significant focus, equipping you with the skills to craft effective prompts for optimal results. You’ll discover how to leverage HuggingChat, implement system prompts, and master both basic and advanced prompting techniques. The course even touches upon creating custom assistants and utilizing LLMs with LPU chips instead of traditional GPUs.
Furthermore, the curriculum delves into advanced topics like Function Calling, Retrieval-Augmented Generation (RAG), and vector databases. You’ll learn to integrate embedding models, build RAG chatbots using tools like Anything LLM and LM Studio, and implement Function Calling with models like Llama 3. The practical aspects extend to summarizing, storing, and visualizing data with Python.
For those looking to optimize their AI applications, the course offers valuable tips on data preparation and efficient use of libraries like LlamaIndex and LlamaParse. It also introduces the fascinating world of AI agents, covering essential tools and practical implementation using Flowise and Node.js. You’ll gain insights into creating agents that can generate Python code and documentation, utilize Function Calling, and access the internet.
To round off this extensive training, the course includes introductions to Text-to-Speech (TTS), fine-tuning LLMs via Google Colab, and even practical advice on renting GPUs when your local hardware isn’t sufficient. You’ll also explore cutting-edge tools like Microsoft Autogen and CrewAI, and learn how to leverage LangChain for agent development.
Overall, ‘Open-Source LLMs: Unzensierte & sichere KI lokal auf dem PC’ is an outstanding resource for anyone looking to harness the full power of open-source LLMs. It’s a highly recommended course for developers, data scientists, and AI enthusiasts eager to build innovative solutions and expand their understanding of large language models.
Enroll Course: https://www.udemy.com/course/open-source-llms-unzensierte-sichere-ki-lokal-auf-dem-pc/