Build a Large Language Model (From Scratch) vs Stable Beluga 2
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Build a Large Language Model (From Scratch)
Learn to build an LLM from the ground up with hands-on code
This Manning Publications book by Sebastian Raschka guides readers through building a GPT-style large language model from scratch using Python and PyTorch. It covers tokenization, transformer architecture, pre-training, and fine-tuning with clear, step-by-step code examples. The book is designed for ML practitioners and engineers who want a deep, practical understanding of how modern LLMs like ChatGPT actually work under the hood.
Visit Build a Large Language Model (From Scratch)Stable Beluga 2
Stability AI's 70B instruction-following model based on Llama 2
Stable Beluga 2 is a 70-billion parameter language model from Stability AI, fine-tuned on Llama 2 70B using an Orca-style supervised dataset for improved instruction adherence. It supports system prompts and multi-turn conversation, making it suitable for chat applications and complex task completion. Available on Hugging Face under a non-commercial license, it targets researchers and enterprise AI teams.
Visit Stable Beluga 2| Feature | Build a Large Language Model (From Scratch) | Stable Beluga 2 |
|---|---|---|
| Category | Other | Other |
| Pricing | Paid | Paid |
| Upvotes | 0 | 0 |
| Source | awesome | awesome |