Prompt Experimentation Archives

Manage LLM Applications with UpTrain + Langfuse

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Learn to use evaluation and observability stats to manage LLM applications. Track your applications’ latency, cost and quality.

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Know about the different types of jailbreaking mechanisms in LLMs and effective ways to safeguard LLM applications against them.

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Safeguarding your system prompts: Learn techniques to identify and stop prompt leakage in LLM apps. Protect your IP with UpTrain’s Safeguard Evals

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Learn how ROUGE Score is calculated, its use to evaluate content generated using LLMs for tasks like content summarization, conversations.

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Explore how perplexity guides LLMs in language comprehending. Dive into its use cases, calculation, and impact on model performance.

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Learn about LLM evaluation metrics like reponse relevance, how they are calculated and how they can be used to make better applications