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Welcome to your one-stop hub for this month’s key Pathfinder Community news and featured events, content, forums, and more!



📚Community Stories

Never miss a beat—here are your can’t-miss updates from the Pathfinder Community this month:
 

 

✨Stellar Contributor Spotlight

Each month, we’re shining a light on a stellar member whose recent contributions are truly making a big impact in our community-driven ecosystem.



 Stefano (@Stefano 5934 )

 

Stefano has consistently made outstanding contributions to our community, providing invaluable assistance to those facing issues with Javascript function to get expected output . We express our sincere gratitude for his outstanding commitment and invaluable support. Thank you, Stefano!
 

Highlighted Solutions



🚀Meet Your MVPs

In this month we introduced 2024's Most Valuable Pathfinders (MVPs)! These incredible individuals are more than just experts in AI and automation—they're leaders, mentors, and true innovators who are driving change and sharing their knowledge with the global community.

Read the full post and meet all our MVPs here.

📆Can’t Miss Events

We know you’ve got a lot on your plate. If you can make time for some of our valuable events this month, these are the ones you won’t want to miss!



💬Join the Conversation

Our Pathfinder community is grounded by the diverse shared expertise of our members. Here are current discussion topics that could benefit from your own wisdom and first-hand experience.



🔨Critical Tools for Mission Success

Keep your automation skills sharp and tool belt fully calibrated—here are critical tools and continued learning resources for ongoing automation mission success:

Academy: Career Quests & Skill Boosters

Understanding Parameters for Working with LLMs
This session includes :

  • Tokens and their role in large language models.
  • The effects of adjusting Temperature on AI responses.
  • Top K influences the consistency of generated text.
  • Top P adjusts the diversity of AI-generated responses.
  • Strategies for balancing predictability and creativity in LLM outputs.
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