Tag: fine-tuning

• Recruiting Humans for RLHF (Reinforcement Learning from Human Feedback)

  Reinforcement Learning from Human Feedback (RLHF) enhances AI alignment with human values through incorporating user feedback in training. This article explores RLHF’s definition, benefits, and limitations, its role in AI development, necessary tools, and strategies for effectively recruiting human participants. Successful RLHF depends on obtaining diverse, high-quality human insights.

  Mir Ujkani

  August 13, 2025

  AI, Startups

  AI, Artificial Intelligence, benefits, beta testers, Beta Testing, ChatGPT, fine-tuning, limitations, machine learning, OpenAI, recruitment, reinforcement learning from human feedback, RLHF, tools

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  Read our recent posts:

  • Crowdtesting for Dummies: What to Know So You Don’t Look Like an Idiot
  • What Are the Best Tools for Crowdtesting?
  • How to Run a Crowdsourced Testing Campaign
  • How do you Ensure Security & Confidentiality in Crowdtesting?
  • Best Practices for Crowd Testing

• AI Human Feedback: Improving AI Products with Human Feedback

  Successful AI-powered products depend on continuous human feedback throughout their lifecycle, influencing data curation, model evaluation, fine-tuning, pre-launch testing, and ongoing adjustments post-release. Engaging with real users helps improve AI performance and user satisfaction, making feedback integral to creating valuable and adaptable AI solutions.

  Mir Ujkani

  July 10, 2025

  AI, Startups

  AI, Artificial Intelligence, feedback, feedback platforms, fine-tuning, human feedback, integrating feedback, machine learning, natural language processing, structured feedback, user experiences

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  Read our recent posts:

  • Crowdtesting for Dummies: What to Know So You Don’t Look Like an Idiot
  • What Are the Best Tools for Crowdtesting?
  • How to Run a Crowdsourced Testing Campaign
  • How do you Ensure Security & Confidentiality in Crowdtesting?
  • Best Practices for Crowd Testing

• Top 10 AI Terms Startups Need to Know

  This article outlines ten essential AI concepts for startup professionals, clarifying their meanings and applications. It emphasizes the importance of competencies like machine learning, neural networks, natural language processing, and generative AI, equipping readers with the knowledge to enhance product development and navigate the rapidly evolving AI landscape effectively.

  Mir Ujkani

  June 21, 2025

  AI, Startups

  AI, Artificial Intelligence, computer vision, deep lraning, fine-tuning, generative AI, large language models, LLMs, machine learning, ML, natural language processing, neural networks, NLP, supervised learning

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  Read our recent posts:

  • Crowdtesting for Dummies: What to Know So You Don’t Look Like an Idiot
  • What Are the Best Tools for Crowdtesting?
  • How to Run a Crowdsourced Testing Campaign
  • How do you Ensure Security & Confidentiality in Crowdtesting?
  • Best Practices for Crowd Testing