AI and the Progress Toward the Minimal and Relevant
Learn how we can amplify humans with AI
Blog: LLMs and Their Environmental Footprint
Explore environmental challenges related to LLMs and learn practical steps to mitigate the footprint.
Personalized AI Agents for Investment Opportunity Discovery
In the latest Oxogen release, we introduce personal, strictly private AI Agents, enabling you to finally assemble your own team of agents to scout the market for opportunities.
Blog: Information Pollution in Financial AI
Financial markets increasingly rely on AI and algorithms, but the quality of these systems is threatened by information pollution that distorts market perceptions and decision-making. Read how to ensure high-quality data for the accuracy and reliability of financial AI systems.
Blog: Financial AI + VR
Oxide AI is gearing up to launch Oxogen VR.
Blog: Practical Approaches to Tackle Common Real-World AI Pitfalls
Learn how to navigate hurdles in AI systems and models.
Blog: The Power of High-Quality Data in AI Development
Learn how to maximize the value of your data assets for AI.
Blog: AI and the New Dawn of Niche Search Engines
This time we highlight the potential of AI and Large Language Models (LLMs) in the development of specialized search engines that can compete with industry giants like Google and Bing.
Blog: What if AI says “I don’t know”?
Should we assume AI always has an answer to whatever we ask? Information can be ambiguous or missing, and “I don’t know” (from AI or human) can be the honest answer. AI needs to be trained to recognize uncertainty, assess causes, and effectively support human-AI exploration.
Blog: The Art of Reality Capture in the Age of Generative AI
In a digital context, evidence refers to any information that is used to support or refute a claim. In this post, we look at evidence in relation to Large Language Models (LLMs).