#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer
You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4].
https://github.com/rasbt/LLMs-from-scratch
#typescript#svelte#sveltekit#tailwindcss#tauri
Epicenter is a free, open-source set of local-first apps that let you own and control your data by storing everything—notes, transcripts, chats—in one simple folder using plain text and SQLite. You can use any AI model you want, customize tools, and access your data anywhere without relying on cloud services. Key apps include Whispering, which transcribes your speech locally, and epicenter.sh, a personal assistant that helps you search and interact with your data. This setup gives you privacy, flexibility, and full control over your information, avoiding locked, siloed apps and data traps. It’s great for anyone who values data ownership and open software.
https://github.com/epicenter-so/epicenter
#typescript#chatgpt#hacktoberfest#huggingface#llm#svelte#svelte_kit#sveltekit#tailwindcss#typescript
Chat UI is an open-source chat interface built with SvelteKit that lets you easily connect to different AI language models using any service that works with the OpenAI API format, such as Hugging Face, llama.cpp, Ollama, or OpenRouter[5]. You can quickly set it up on your computer by cloning the project, setting a few environment variables (like your API key and database connection), and running simple commands to start the app—no need to be an expert[5]. The main benefit is that you get a modern, customizable chat app that works with many AI models, making it simple to experiment, build, and share your own AI-powered chat experiences without starting from scratch.
https://github.com/huggingface/chat-ui