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OpenAIs o1 and o3-mini are advanced reasoning models that differ from the base GPT-4 (often referred to as GPT-4o) in how they process prompts and produce answers. These models are designed to spend more time thinking through complex problems, mimicking a human’s analytical approach. To leverage these models effectively, it’s crucial to understand how to […] The post 6 Insights from OpenAI’s Prompting Guide for Reasoning Models appeared first on Analytics Vidhya.
In force since January, the Digital Operational Resilience Act (DORA) has required considerable effort from CIOs and CISOs at 20 types of financial entities to achieve compliance. For many, the journey is not complete. In the past months, financial entities targeted by DORA have been busy internally defining roles and responsibilities related to ICT security, identifying the major risks within essential and important functions, developing a cyber threat management framework that includes policie
o3-mini has proven to be OpenAIs most advanced model for coding and reasoning. The o3-mini (high) model has single-handedly outperformed other existing models like DeepSeek-R1 and Claude 3.5 in most standard benchmark tests. Owing to this, ChatGPT powered by o3-mini has now become an everyday companion for developers. It offers them an intelligent and efficient […] The post 10 o3-mini Prompts to Help with All Your Coding Tasks appeared first on Analytics Vidhya.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
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Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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