Part 7/9:
To empower users further, a comprehensive course has been created, covering all aspects of working with open-source models. This course provides:
Step-by-step tutorials on setup and configuration.
Techniques for tweaking and customizing models.
Guidance on model fine-tuning and quantization—important for enabling larger models to run efficiently on limited hardware.
Practical code examples demonstrating programmatic interaction.
By taking advantage of this knowledge, users can streamline their AI projects, optimize model performance, and explore advanced techniques without getting lost in technical documentation.