“In the midst of chaos, there is also opportunity” – Sun Tzu, The Art of War – 5th Century BCE Today marks a significant milestone in the AI as DeepSeek, a Chinese AI startup, announced the release of its revolutionary R1 Open-Source large language model (LLM) rivalling OpenAI’s ChatGPT. This DeepSeek RI model has been designed to excel in complex reasoning tasks, rivaling the performance of OpenAI’s latest models while reportedly being developed at a fraction of the training & implementation cost. It is being widely reported that this R1 LLM was trained with Reinforcement Learning (RL) for a
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Beware of Human-injected left-leaning bias emanating from AI Large Language Models (LLM) Outputs – RLHF technique could be the misused
In the realm of Machine Learning, Reinforcement Learning with Human Feedback (RLHF) stands out as an innovative technique where human trainers play a crucial role in guiding the learning process of models. Unlike traditional reinforcement learning, which relies solely on pre-defined rewards, RLHF incorporates human judgment to shape the training environment. This method can have significant implications, especially when it comes to ensuring that models consistently favor certain outcomes over others. In this blog, we’ll delve into how trainers can influence models using RLHF, highlighting both the potential benefits and pitfalls. Human trainers can introduce biases, whether consciously or