LLMsfor.me – 100% Live Online PWYC Course in LLMs and GenAI
Explore the Hugging Face transformers library, applying LLMs for generative and prediction tasks
Fine-tune generative text LLMs using custom datasets for specific use cases
Work with the OpenAI API and cutting-edge models such as GPT-4o and DALL-E
Generate synthetic media using state-of-the-art text-to-image models like Stable Diffusion and Flux
Interact with LLMs 100% locally and build local LLM applications using Ollama and chatbot frameworks
LLMs have transformed the world – be a part of the transformation with the LLMsfor.me course! In this 6-week, 18 hour program, we’ll go hands-on and touch on a wide variety of platforms and tools in the large language models and generative AI space, including working with LLMs 100% and generating images with multimodal models.
This course is for anyone looking to learn more and technically upskill into working with LLMs, from AI enthusiasts and beginners to those already practicing data science. Some experience with Python or another programming language is suggested though not absolutely required.
At NLP from scratch, I believe that education should be accessible to everyone, regardless of their financial situation. That’s why I’m offering the course under a Pay What You Can (PWYC) model. You choose the amount you can comfortably afford, and pay based on what you feel the course was worth. There’s no minimum or maximum amount, and you can pay when you first sign up or after you’ve finished attending the course – the choice is up to you.
Course Overview:
⌛ Duration: 6 Weeks, January-February 2025
📅 Dates: Mondays 7-10 PM EST: Jan 6th to Feb 10th
🕒 Sessions: 6 Sessions, 3 Hours Each
💻 Format: Live Online, Interactive Sessions via Google Meet
💰 Pricing: Pay What You Can (PWYC)
Curriculum
- Part 1 – Introduction to LLMs and Generative Text
- Part 2 – Fine-tuning LLMs, PEFT and Quantization
- Part 3 – GPT and the OpenAI Ecosystem
- Part 4 – Developing Large Language Model Applications Locally
- Part 5 – Multimodal LLMs and Frameworks
- Part 6 – Case Study in LLMs and GenAI
Register below! 👇