Machine Learning

  • Agentic LLMs | Current Topics

    Context

    Modern LLMs are increasingly enhanced with the ability to interact with external tools such as:

    • Code interpreters
    • Search engines
    • Databases
    • Simulated environments

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  • Apertus: Improving Coding Capabilities | Current Topics

    Context

    The Apertus project from EPFL, ETH, focuses on developing a Swiss-based Large Language Model (LLM) with strong multilingual capabilities. While the model performs competitively on general language tasks, it currently struggles with structured programming challenges such as:

    • Long-horizon reasoning over multiple files
    • Code refactoring and abstraction
    • Repository-level understanding
    • Debugging and test-driven development
    • Reliable code generation under constraints

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