Assist the broadcast team in setting up and managing live streaming equipment, including cameras, microphones, lighting, and encoders, ensuring all technical aspects are operational before and during broadcasts.
Monitor live streams for technical issues, such as signal loss, audio problems, or video quality degradation, and provide immediate troubleshooting and support to resolve them.
Support the content management process by uploading, organizing, and tagging video assets, ensuring timely availability of content for live shows and post-broadcast VOD.
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Prompt Engineering & Evaluation: Design and execute sophisticated test cases using prompt injection and adversarial testing to evaluate the AI’s boundaries and responses.
LLM Benchmarking: Utilize advanced frameworks to measure performance in critical areas like hallucination rates, sentiment consistency, and context retention.
Automated Validation: Build and maintain automated pipelines that leverage "LLM-as-a-judge" patterns to evaluate model outputs at scale.
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