Brief

Together AI is enhancing its cloud platform to support advanced reinforcement learning (RL) pipelines, integrating TorchForge and Monarch for distributed training. The platform now offers low-latency GPU communication and heterogeneous scheduling for mixed CPU/GPU workloads, crucial for complex RL tasks. New integrations with Together CodeSandbox and Code Interpreter allow RL agents to interact with tools and execute code, expanding their capabilities beyond traditional game-playing scenarios. AI

Together AI has launched two new products, Together Code Sandbox and Together Code Interpreter, aimed at improving the execution of AI-generated code. Together Code Sandbox offers customizable virtual machine environments for building development tools and agentic workflows, featuring rapid VM startup and scaling capabilities. Together Code Interpreter provides a simpler API for session-based Python code execution within these secure sandboxes, designed for straightforward use cases. AI

Together AI has launched Together Code Interpreter (TCI), an API designed to securely execute code generated by large language models. This tool addresses the limitation of LLMs being unable to run the code they produce, enabling developers to integrate and test code within agentic workflows. TCI creates sandboxed environments for code execution, returning results that can be fed back to LLMs for iterative improvement and richer user responses. The interpreter has also shown promise in accelerating reinforcement learning operations by automating code evaluation and unit testing during model training. AI