Navigating Challenges in AI Assistant Development | Course and Power Point for Bots

The article discusses challenges faced in building AI assistants using large language models, including issues such as hallucinations, alignment with user goals, susceptibility to adversarial attacks, and copyright concerns related to potential infringement when generating text.
SLIDE1
SLIDE1
        

Challenges in Building AI Assistant using Large Language Model
1. Hallucinations
AI assistants based on large language models may generate responses that are not accurate or relevant to the context, leading to hallucinations or misinformation being provided to users.
2. Alignment
Ensuring that the responses generated by the AI assistant align with the goals and intentions of the user or the organization can be challenging, as the model may not always understand the context correctly.
3. Adversarial Attacks
Large language models are susceptible to adversarial attacks where malicious inputs can manipulate the AI assistant to produce harmful or incorrect outputs, posing a security risk.
4. Copyright Issues
Using a large language model to generate text raises concerns about copyright infringement, as the model may inadvertently produce content that is similar to existing copyrighted material.


Topics

Related Links