Detailing the Primary Methodology Implemented in Our Models: Octopus v2 | HackerNoon
To successfully invoke a function, it's essential to accurately select the appropriate function from all available options and to generate the correct function parameters.
DeepSeek goes beyond "open weights" AI with plans for source code release
Open source AI should include training code and data details to meet formal definitions and improve transparency, replicability, and understanding of models.
The RLHF pipeline comprises supervised fine-tuning, preference sampling, and reward learning, followed by reinforcement learning optimization, enhancing model effectiveness in decision making.
