Chatbot Performance Issues
This term refers to the delay in the chatbot’s response time, affecting customer experience.
What is latency?
The first step in NLP that breaks text into individual words.
What is lexical analysis?
This type of neural network is used in RAKT’s chatbot but struggles with long-term dependencies.
What is a recurrent neural network (RNN)?
A chatbot trained only on certain demographics may exhibit this type of bias.
What is sampling bias?
Ensuring chatbot transparency helps address concerns related to this ethical principle.
What is accountability?
The chatbot struggles with understanding subtle meanings in language due to this problem.
What are linguistic nuances?
The step in NLP that ensures the chatbot understands sentence structure.
What is syntactic analysis?
RNNs suffer from this problem, making it difficult to retain long-term dependencies.
What is the vanishing gradient problem?
If chatbot training data reflects outdated information, this type of bias occurs.
What is historical bias?
A chatbot leaking personal user data violates this ethical concern.
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The chatbot’s training data lacks variety, leading to poor accuracy in responses.
What is dataset bias?
This NLP stage ensures chatbot responses consider the larger conversation context.
What is discourse integration?
This improvement to RNNs helps with long-term memory by using gates to control information flow.
What is long short-term memory (LSTM)?
This bias occurs when chatbot training labels are too vague or inaccurate.
What is labeling bias?
To improve chatbot performance, training often requires powerful GPUs or this specialized processor.
What is a tensor processing unit (TPU)?
A major problem arises from the chatbot’s simplistic structure, preventing it from handling complex interactions.
What is poor architecture?
The final NLP step, where cultural and social meaning of words is analyzed.
What is pragmatic analysis?
This algorithm, used in transformers, enables the chatbot to understand word relationships within sentences.
What is the self-attention mechanism?
If a chatbot only understands formal speech and not slang, it suffers from this.
What is linguistic bias?
The chatbot’s training phase is computationally demanding because it requires large amounts of this.
What is data?
The chatbot’s computational limitations slow down processing and response generation.
What is insufficient processing power?
This advanced NLP model, used in GPT-3, improves chatbot responses by capturing relationships between words.
What is the transformer neural network?
Instead of RNNs, many modern chatbots use this AI model for improved efficiency and scalability.
What is a transformer neural network?
The chatbot’s dataset must avoid bias and be diverse to maintain this essential quality.
What is fairness?
RAKT’s chatbot must be designed to avoid spreading false information, which relates to this ethical challenge.
What is misinformation and manipulation?