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![Applying RLHF: Techniques, use cases, and challenges ['25]](https://research.aimultiple.com/wp-content/uploads/trends/rlhf-6762ab510a995-190x128.png.webp)
Applying RLHF: Techniques, use cases, and challenges ['25]
Training AI systems to align with human values can be a challenge in machine learning. To mitigate this, developers are advancing AI through reinforcement learning (RL), allowing systems to learn from their actions. A notable trend in RL is Reinforcement Learning from Human Feedback (RLHF), which combines human insights with algorithms for efficient AI training.
Top 3 Prolific Alternatives in August 2025
Prolific is a popular AI data collection service that offers a crowdsourcing platform for AI data seekers. Our research identified some drawbacks of working with Prolific from the perspectives of its customers and workers.
Top 5 IBM Watson Competitors in 2025
Businesses use conversational AI to manage customer interactions and handle high inquiry volumes, reducing long wait times in queues. IBM’s watsonx assistant is one of the most popular options in the field, but with over 200 platforms available, choosing the right one can be overwhelming, as no tool is perfect.
ChatGPT Code Interpreter Plugin: Use Cases & Limitations
Since the release of ChatGPT, programmers and more advanced users of the tool were curious whether OpenAI will allow plugins to the chatbot. OpenAI announced the first plugins in April, followed by many others since then. At the beginning of July 2023, they announced an official ChatGPT plugin, the Code Interpreter. Figure 1.
Meta's New Llama 3.1 AI Model: Use Cases & Benchmark in 2025
Meta published model weights for Llama 3.1 which is one of the most advanced language models. This access enables enterprises, researchers or individual developers to finetune and deploy their own Llama-based models.
Generative AI in Manufacturing: Use Cases & Benefits ['25]
Generative AI is becoming a strategic tool for manufacturers facing challenges such as supply chain disruptions, labor shortages, and rising cost pressures. It helps automate design, predict maintenance needs, and optimize supply chains, while driving efficiency, reducing costs, and speeding up innovation.
Generative AI in Insurance: 10 Use Cases & 5 Challenges
Generative Artificial Intelligence (AI) emerges as a promising solution, capable of not only streamlining operations but also innovating personalized services, despite its potential implementation challenges. The insurance value chain, from product development to claims management, is a complicated process.
Generative AI in Retail: Use Cases, Examples & Benefits in 2025
Retail businesses strive to enhance customer experiences and loyalty. This requires producing attractive content in various formats, effective marketing efforts, and exceptional customer service. With generative AI, retailers can resolve most of these issues through automation, particularly by enhancing their ability to analyze customer data for more personalized customer experiences.