Using generative AI is simple, but misusing it can be just as easy.
Here are some common mistakes to avoid to ensure you get the best results:
- Thinking AI is magic: AI requires iteration, understanding, and patience to excel. It’s not a one-time solution but a tool that improves with continuous use and refinement.
- Stopping after unsatisfactory results: Don’t stop after one bad result. Iteration is key. Keep refining your inputs and approach to get better results.
- Underestimating the importance of prompting: Prompting is an art and the backbone of effective AI use. Well-crafted prompts can drastically improve the output, so invest time in learning how to prompt effectively.
- Not verifying factual information: Even with the best safeguards, AI can make mistakes or hallucinate facts. Always double-check factual information to ensure accuracy.
- Forgetting AI’s Limited Memory: In Lampi AI, you can follow conversations naturally, and Lampi will reference previous messages. However, the AI eventually forgets earlier parts of the conversation. Always remind the AI of key elements when necessary.
- Neglecting to modify context: Lampi AI uses the context it has access to. Ensure you select only the relevant context to get accurate and pertinent responses.
- Connecting all context in RAG: The broader the context, the higher the chance Lampi might use semantically related but inconsistent information. Always choose the most coherent and relevant files for RAG (Retrieval-Augmented Generation).
- Not being aware of AI challenges: Understanding the unique challenges that come with AI is crucial. These challenges include common issues such as hallucinations and adversarial attacks, or even limitations such as the model's restricted context length, latency or its performance degradation with longer contexts.
- Staying theoretical: Practice makes perfect. The more you use and experiment with AI, the better you’ll understand how to leverage it effectively.
These mistakes can occur with any model, whether it's ChatGPT, Mistral, Claude, or any other open-source model. Avoid these pitfalls, and you’ll save a lot of time and improve your AI interactions significantly!