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The Artificial Intelligence revolution is upon us, bringing a new wave of groundbreaking tools. One of these tools is LangChain, an innovative technology that helps AI professionals ramp up the capabilities of Language Models. In our LangChain course, we guide you to unleash the full potential of these tools, catapulting your AI skills to new heights.
This course is not just about the basics of Generative Artificial Intelligence and Natural Language Processing. It’s about using LangChain to supercharge the performance and efficiency of your Language Models. We’ll arm you with the skills and insights to tweak and tailor language models to your specific requirements, opening up a wider array of AI challenges and opportunities for you to tackle.
Imagine having the ability to train ChatGPT with your own custom knowledge base, and that’s just the start. We’ll delve into what vector databases are, get to grips with multi-step reasoning, and show you how LangChain can unlock new possibilities with your LLMs.
In this course, we’re going to cover:
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Getting to know Language Models
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The nuts and bolts of Generative AI
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The tool-box of Language Models (LLM) and NLP
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Working with open-source Large Language Models (LLMs)
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How to supercharge LLMs with LangChain
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Training ChatGPT with a personalized knowledge base with LangChain
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A deep dive into vector databases
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Understanding multi-step reasoning
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The role of Langchain and Agents in enhancing LLM capabilities
So, dive into the captivating world of Language Models with LangChain. Extend the capabilities of your LLM models, develop language models that cater to your needs, and explore a whole new world of possibilities with LLMs through LangChain.
Fundamentals of Generative AI
Introduction to Language Models
Language Modeling Tools (LLM) and NLP
Open-source Large Language Models (LLMs)
Giving Superpowers to LLMs with LangChain
Train ChatGPT with a customized knowledge base
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23Introduction to LangChain
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24Different LangChain model types and requirements
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25LLM input management with LangChain's Prompts Module
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26Combination of LLM with other components through chains
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27Providing access to external data through LangChain Indexes
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28Giving the ability to memorize ChatGPT through Memor LangChain
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29Providing access to tools through LangChain's Agents module
Vector Databases
Multi-stage reasoning with LangChain
Langchain and Agents: Giving new capabilities to LLMs
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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