AI tools I use (and why)

Which AI tools I use and why. Last update: 24-01-17

• I use the llm Python tool to test and use LLM APIs (Link).
  • (+) It supports all models that I use and test frequently.
  • (+) It logs previous prompts.
  • (+) It also has support for embeddings and topic clustering.
• I use the paid Perplexity Pro that features both GPT4 and Claude2.1
  • (+) I like that I can switch between models in a chat format.
  • (+) I like how it integrates web search.
  • (+) I often use the Reddit focus (it will web search only Reddit and use this as context).
• I use Poe to try out new models in a chat environment.
• I use Mistral Small and GPT3.5 with dense context on API level.
  • (+) Both models produce very similar and good results when you give it context.
  • (~) Mistral Medium is even better, yet a bit too pricey for heavy usage.
• I follow only a handful AI thinkers, all of it via RSS:
  • Simon Willison tries out new models and methods and shares his learnings in a very accessible way (RSS)
  • Ethan (RSS, Twitter RSS)
• I use Bing Create to create images (it's free, it uses DALLE-3) (Link).
• I use different models for different tasks.
  • I use Phind and GPT4 for programming tasks.
  • I use Claude2.1 and GPT4 as writing-assistants as they give different perspectives.
• I use Bing Chat for quick (and free) GPT4 answers (when I feel that Perplexity is too heavy) and creating DALL-E3 images
• I use Kagi Summarizer for Youtube Video summaries (but it sometimes struggles with outputting German and new videos)
• I play with…
  • Pi LLM for life counseling (but it's just in English and not proactive yet and forgets context quickly)
  • Ideogram was the first text-to-image model to produce okayish text, but Dall-E3 is much better now