Getting started with Stanford CS336 — setting up the local development environment and kicking off a self-paced journey through language modeling from scratch with one hour of study per day.

Using QLoRA and HuggingFace PEFT to fine-tune Falcon-7B for message summarization on SamSum dataset, with GPT-3.5-turbo as an automated evaluator for generated summaries.

Building a kitchen companion using OpenAI's Assistant API with text-to-speech and image generation, showcasing a holistic approach to conversational AI with just a few lines of code.

A conversational simulation environment powered by LLM agents, inspired by ChatArena, where AI agents engage in task-oriented or casual conversations.

Running a quantized Llama2 model on Apple M1 Pro for on-device question answering, with LangChain and FAISS for local RAG without relying on cloud APIs.

Building a Retrieval Augmented Generation (RAG) chatbot that answers food-related questions from a custom cookbook, using OpenAI embeddings and a vector index for relevancy search.