The text discusses the integration of Code Llama, a new family of code generation large language models based on Llama 2 from Meta AI, with the Fireworks AI platform to simplify code infilling tasks. Code Llama demonstrates state-of-the-art performance in code benchmarks and supports infilling, which is essential for tasks like type inferencing and docstring generation. However, infilling requires precise prompt formatting, especially in languages where whitespace is meaningful, such as Python. The Fireworks API addresses these challenges by providing a default chat completion template for Code Llama base models, simplifying infilling through a user-friendly interface where users just input a prefix and suffix to generate missing code. This integration aims to improve user experience and make code infilling more accessible for developers, offering a streamlined approach to leveraging Code Llama's capabilities in building products.