The author emphasizes the importance of understanding the areas for which the AI assistants are being prompted, as this leads to higher quality output. They have started a group to share prompts and provide valuable content for those interested in AI. The author also offers a free crash course on Generative AI, a closed group for professionals, and coaching and workshops for a hands-on transformation.
Key takeaways:
- The author is automating tasks using personalized AI assistants, created locally for better control and experimentation.
- The author uses LM studio to download and use open-source Large Language Models, choosing Mistral as their LLM.
- Running AI assistants locally allows the author to adjust parameters for each individual assistant, guiding the AI more effectively.
- The author emphasizes the importance of understanding the areas we are prompting our AI assistants for, to ensure high-quality output.