Anthropic's interactive tutorial aims to provide comprehensive step-by-step guidance on building optimal prompts within Claude. The tutorial consists of nine chapters, each accompanied by exercises and an appendix featuring more advanced methods. It utilizes Anthropic's smallest, fastest, and most cost-effective model, Claude 3 Haiku, along with the more intelligent Claude 3 Sonnet and Claude 3 Opus models. The tutorial is also available on Google Sheets using Anthropic's Claude for Sheets extension, which is recommended for its user-friendly interface.

zero_to_gpt is a tutorial aimed at helping users learn deep learning from the ground up, ultimately enabling them to train their own GPT models. As AI technologies emerge from labs and find wide applications across various industries, the demand for professionals who can understand and apply AI is increasing. This tutorial integrates theory and practice by addressing real-world problems (such as weather prediction and language translation) to explore the theoretical foundations of deep learning, including gradient descent and backpropagation. The course content starts with basic neural network architectures and training methods, gradually advancing to complex topics such as transformers, GPU programming, and distributed training.

Hugging Face Course is an educational resource offered by Hugging Face to help users learn and master the various tools and APIs of the Hugging Face platform.

Awesome AIGC Tutorials gathers high-quality tutorials and resources in the fields of large language models and AI art. It is suitable for both beginners and experienced AI enthusiasts to learn in-depth. Content covers multiple dimensions, including Prompt Engineering, LLM practical applications, and LLM theoretical foundations.

Anthropic's interactive tutorial aims to provide comprehensive step-by-step guidance on building optimal prompts within Claude. The tutorial consists of nine chapters, each accompanied by exercises and an appendix featuring more advanced methods. It utilizes Anthropic's smallest, fastest, and most cost-effective model, Claude 3 Haiku, along with the more intelligent Claude 3 Sonnet and Claude 3 Opus models. The tutorial is also available on Google Sheets using Anthropic's Claude for Sheets extension, which is recommended for its user-friendly interface.

zero_to_gpt is a tutorial aimed at helping users learn deep learning from the ground up, ultimately enabling them to train their own GPT models. As AI technologies emerge from labs and find wide applications across various industries, the demand for professionals who can understand and apply AI is increasing. This tutorial integrates theory and practice by addressing real-world problems (such as weather prediction and language translation) to explore the theoretical foundations of deep learning, including gradient descent and backpropagation. The course content starts with basic neural network architectures and training methods, gradually advancing to complex topics such as transformers, GPU programming, and distributed training.

CS25 is a course offered by Stanford University that delves into Transformer models, a revolutionary architecture in deep learning. The course invites leading experts in the Transformer research field to discuss cutting-edge advancements, ranging from LLM architectures like GPT and Gemini to creative applications such as DALL-E and Sora. CS25 has become one of the most popular and exciting workshop courses at Stanford.

DataCamp is an online learning platform offering courses in data science, AI, and related fields. It provides a hands-on learning experience through interactive exercises and short videos, covering a wide range of topics including Python, R, SQL, ChatGPT, and Power BI. DataCamp also offers certifications and resources for data science career development.

Hugging Face Course is an educational resource offered by Hugging Face to help users learn and master the various tools and APIs of the Hugging Face platform.

Awesome AIGC Tutorials gathers high-quality tutorials and resources in the fields of large language models and AI art. It is suitable for both beginners and experienced AI enthusiasts to learn in-depth. Content covers multiple dimensions, including Prompt Engineering, LLM practical applications, and LLM theoretical foundations.