CAIC 5 Flashcards
(24 cards)
What is the purpose of the LLM Observability platform?
To ensure the reliability of the system for users by continuously monitoring the ML Ops system from end to end.
What issues does the LLM Observability layer help to identify and address?
It helps identify and address the following critical issues:
* Bias in model behavior
* Hallucination in predictions
* Performance metrics for LLM clusters
* Model drift
* Prompt engineering effectiveness
What is model drift?
Model drift refers to the decline in performance of LLMs due to changes in input data distribution over time.
True or False: LLM observability supports the identification of biased responses.
True
Fill in the blank: The LLM observability layer calculates key performance metrics to assess _______.
[cluster performance]
What are some niche players offering platform-based LLM observability solutions?
Examples include [specific companies not mentioned in the provided text].
What does LangKit do?
LangKit extracts relevant signals from texts to understand aspects like quality, security, privacy, sentiments, and toxicity.
What is the role of the engineering team and business team during the infrastructure selection phase?
They must determine the best infrastructure (Public Shared Infra, Private, or Mixed Hybrid) for running the chosen model.
List the factors that influence cost optimization in GenAI workloads.
- Model selection
- Infrastructure validation
- Budget determination
- Cost of running workloads
What is the benefit of using closed models hosted within isolated infrastructure?
It offers enhanced security and control over data.
What is the significance of few-shot learning in ChatGPT?
Few-shot learning enables models to learn new concepts or tasks with very limited labeled data.
What are the advantages of using standardized inference APIs?
- Ease of setup
- Quick turnaround time
- Low maintenance costs
- No vendor lock-in
What challenges can arise if thorough planning and optimization efforts are neglected in ML workloads?
Management of ML workloads can become challenging, and operational costs may surpass initial investments.
What should stakeholders consider when selecting a language model?
They should consider use cases, data privacy, and the enterprise’s risk tolerance.
What is the purpose of benchmarking models against high-quality datasets?
To distinguish successful contenders for various use cases.
What is the RAG pattern in Generative AI applications?
Retrieval Augmented Generation, useful for processing organization-specific, frequently changing data.
Fill in the blank: The open-source tool Bench is designed to assess LLMs for _______.
[production use cases]
What does the open-source tool HELM provide?
It validates and benchmarks different models, assessing various metrics beyond accuracy.
What are some considerations for using open-source models?
- Cost-effectiveness
- Customization
- Flexibility
What main capabilities does ChatGPT have?
- Memory retention
- Few-shot learning
What is a key benefit of ChatGPT maintaining memory throughout conversations?
It allows users to provide follow-ups or corrections without repeating the context.
What must organizations do to ensure a positive end-user experience with AI models?
They must actively monitor and address issues like model cost spikes, performance degradation, drift, and hallucinations.
What is the first step to start using ChatGPT?
Create an OpenAI account.
True or False: ChatGPT can only be used through a mobile application.
False
