LLM Course-large language model course.

Example

The course covers essential topics like mathematics for machine learning, Python programming, and neural network basics.

Scenario

A data scientist looking to transition into AI and machine learning would benefit from understanding these foundational concepts before diving into more advanced topics.

Example

Techniques like supervised fine-tuning and reinforcement learning from human feedback are explored in depth.

Scenario

An AI researcher aiming to optimize an LLM for specific tasks such as sentiment analysis or chatbots would use these advanced techniques to enhance model performance.

Example

The course provides guidance on running LLMs, building vector storages, and deploying models in production environments.

Scenario

A machine learning engineer tasked with deploying a conversational AI system in a customer support application would find these resources invaluable for creating a scalable and secure solution.