Process
Artificial Intelligence
Improving Mathematical Reasoning with Process Supervision
We have trained a model to realize a recent state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) as a substitute of simply rewarding the right final answer (“end...
Artificial Intelligence
Testing language models (and prompts) like we test software The duty: an LLM email-assistant How you can test: properties What to check The testing process: an example Conclusion
TL;DR: it's best toChatGPT provided a hypothesis for what ties those emails together. Whether that hypothesis is correct or improper, we will see how the model does on the brand new examples it generates....
Artificial Intelligence
Madness of Randomness on the earth of Markov decision process!! #MDP sate,motion and reward. | by Abdurahman Hussain | May, 2023
Madness of Randomness on the earth of Markov decision process!! #MDP sate,motion and reward.Markov decision process (MDP) is a mathematical framework that gives a proper method to model decision-making in situations where outcomes are...
Artificial Intelligence
Eventbrite integrates GPT capabilites into platform to help the event planning process
Eventbrite, an event management and ticketing website, announced Monday latest GPT-powered tools that can help event creators with arguably a few of the most tedious, time-consuming steps in event planning — event pages, email...
Artificial Intelligence
To learn from AI, your organization’s learning loops must evolve Single-loop learning and the race for velocity Double-loop learning and opportunity cost Steering the loop with design...
Ideas are low cost. AI is posed to make outputs just as low cost. But without the higher-level feedback loops, your organization’s decision-making will remain a bottleneck to creating value.A protracted time ago, the...
Artificial Intelligence
Case Study: Applying a Data Science Process Model to a Real-World Scenario 1. Domain and project description 2. Data provision 3. Evaluation 4. Deployment 5. (Application) Use and summary References
Development of a machine learning model for materials planning in the availability chainIn today’s rapidly changing environment, some of the critical challenges facing corporations is the flexibility to predict future demand accurately. This is...
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