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CREWAI experiments

For my experiments with CrewAI, I decided to try 3 different projects, starting from the easiest to the most complex. The aim of the experiments was to have a team of AI agents do following work for me:

  1. Examine my Startup idea
  2. Build AI newsletter with Google SERP
  3. Build AI newsletter with Reddit Scraper
  4. Email classifier [WIP]

For my experiements I've tried following LLMs:

Available through API calls:

  1. OpenAI -> GPT-4
  2. Gemini Pro

Local Models through Ollama + rating of how they performed:

  1. Mistral 7B
  • Nice, coherent results
  • Didn't understand that it should use scraping tool for the output
  • Result is a bunch of generic text from training data
  1. Mistral 7B instruct
  • Nice, coherent results, a lot of emojis
  • Didn't use any scraping tool for the output
  • Result is a bunch of generic text from training data.
  1. Open Chat 3.5 7B
  • The best and most "newsletter-y" results
  • But again, didn't use any tool, so generic content
  1. Nous Hermes 7B
  • Ok results
  • didn't use any tool
  • generic content
  1. Open Hermes 2.5 7B
  • The tone and style of writing is great
  • but generic content
  • didn't understand that it needs to use tools
  1. Starling 7B
  • Ok results
  • didn't use any tool
  • generic content
  1. Llama 2 13B
  • The only model that "understood" what the task is
  • but the text wasn't coherent enough, didn's sound like a newsletter
  1. Llama 2 13B chat
  • Didn't understand the task or produce any output
  1. Llama 2 13B text
  • Didn't understand the task or produce any output
  1. Llama 2 7B
  • not coherent
  • didn't use any tool
  • no output
  1. Llama 2 7B text
  • No actual output
  • didn't use any tool
  • generic content
  1. Llama 2 7B chat
  • Didn't use any tool
  • generic content
  1. Phi-2
  • The smallest model ran into biggest problems
  • Lost track of what it's suppose to do, no output