meta ai model

Code Llama has been released in three sizes with 7B, 13B, and 34B parameters respectively. Each of these models has been trained with 500B tokens of code and code-related data.

Meta expects SeamlessM4T to be much more effective than its competitors since its single approach reduces errors and delays, increasing the efficiency and quality of the translation process.