Скачать с ютуб LangChain and Ollama: Build Your Personal Coding Assistant in 10 Minutes в хорошем качестве

LangChain and Ollama: Build Your Personal Coding Assistant in 10 Minutes

Build a coding assistant using LangChain, Ollama, Llama 3.1 and Mistral. Source code: https://github.com/aidev9/tuts/tree/m... Sample React standards: https://github.com/pillarstudio/stand... https://gist.github.com/nlaffey/99fdb... Before we dive in, let’s acknowledge some of the fantastic commercial coding assistants like GitHub Copilot, Amazon Q Developer, and Tabnine. They do a great job—I use Copilot daily! So why build your own? Several reasons: 🚀 Better privacy 🔒: Keep your code local, no need to send data to external providers. 🚀 Lower costs 💸: Run it for free, no subscriptions. 🚀 Customization 🔧: Fine-tune models, add function calling, Retrieval-Augmented Generation (RAG), and more! 🚀 Workflow integrations 🛠️: Use it beyond your editor, including multi-agent flows. 🚀 Consistency across teams 👥: Standardize code generation for your whole team. With this approach, you'll have full control over your assistant, including privacy, functionality, and custom integrations that commercial solutions can’t offer. Let’s get started! 🎬 🔔 Don’t forget to like, share, and subscribe for more tutorials! #AI #llm #tools #ollama #langchain