Brings together technology, talent, and techniques to provide high-quality data and precision at the scale of production required.
Info G Innovative Solutions employs Reinforcement Learning from Human Feedback (RLHF) as a powerful machine learning technique to train AI models, particularly LLMs, to produce outputs that are deeply aligned with human values, instructions, and desired behaviors for your advanced AI solutions.
We start with an LLM that generates initial responses.
We incorporate human evaluation where experts rank or rate these responses based on quality, helpfulness, safety, or instruction adherence.
A "reward model" is then trained on this human preference data, learning to predict human approval.
The LLM is subsequently fine-tuned using reinforcement learning, guided by this reward model, to generate outputs that humans consistently prefer, ensuring alignment with your objectives.
We ensure AI systems behave precisely in the ways you intend, crucial for complex and subjective tasks.
Our application of RLHF helps models avoid generating harmful, biased, or nonsensical content.
We make chatbots and virtual assistants more natural, engaging, and helpful for your customer interactions.
We enable models to tackle nuanced tasks like creative content generation, complex problem-solving, and detailed explanations that require human-like judgment.
Brings together technology, talent, and techniques to provide high-quality data and precision at the scale of production required.