Hi and welcome to this tutorial series on Google Gemini! In this series you will learn everything you need to know to work effectively with Google Gemini, from the very basics up to more advanced topics like parallel function calling and error handling. I hope you’re as excited as I am to get started! Let’s […]
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👉 Back to the Full Course on local models and Hugging Face (+Videos) Hi and welcome to this course on running LLMs and other Machine Learning models on your local machine. In this course, we’ll look at the free and open-source models out there and how you can run them on your local machine, spanning
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👉 Back to the Full Course on local models and Hugging Face (+Videos) Hi and welcome to this tutorial series on running Large Language and Machine Learning Models on your local machine. In this first part, we’ll be looking at running LLMs locally on our own computer for free. To achieve this we will use
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👉 Back to the Full Course on local models and Hugging Face (+Videos) Hi and welcome back to part 2! In this part, we’ll be taking our bare-bones API and getting started on creating a proper chatbot with a convenient interface. We will be using LangChain to define and run our chatbot, so let’s install
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👉 Back to the Full Course on local models and Hugging Face (+Videos) Welcome back to part 3! In this part, we will be using Gradio to create a quick but powerful interface for our chatbot. Gradio is a Python library that allows you to quickly create customizable UI components around your machine-learning models using
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👉 Back to the Full Course on local models and Hugging Face (+Videos) Welcome back to part 4! This time we will be looking at other non-LLM models that we can run locally on our own machine. We’ll be stepping away from Ollama and switching to the HuggingFace machine-learning web community from now on. I’ve
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👉 Back to the Full Course on local models and Hugging Face (+Videos) Hi and welcome back to part 5 of the local models tutorial series. In this part, we’ll be getting started with audio models, looking first at text-to-speech generation. In the next part, we’ll also look at text-to-music AI music generation. 💡 We
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👉 Back to the Full Course on local models and Hugging Face (+Videos) Hello and welcome back to the last part of the local models course. In this part, we’ll be looking at some cool specialized models and one last installation method for local models that we haven’t used so far. We’ll use different models
Hugging Face Course (6/6) – Music and 3D Model Generation Read More »
Hello and welcome back to the last part of the LangGraph/LangChain/LangSmith course. In this part, we’ll learn how to deal with asynchronous tools by building a graph that will do some web research for us, where one of the tools is going to be visiting several websites at once to feed info back into the
Multi-Agent LangGraph Course – Web research and asynchronous tools Read More »
Welcome back to part 5, where we’ll set up our multi-agent team. So buckle up and let’s jump right in. Create a new file named multi_agent.py in your project root: Open up the multi_agent.py file and start with the imports: We have a lot of imports again, many of which will be familiar. We import
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