Tag: training data
-
Slashdot: Microsoft Announces Phi-4 AI Model Optimized for Accuracy and Complex Reasoning
Source URL: https://slashdot.org/story/24/12/16/0313207/microsoft-announces-phi-4-ai-model-optimized-for-accuracy-and-complex-reasoning?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Announces Phi-4 AI Model Optimized for Accuracy and Complex Reasoning Feedly Summary: AI Summary and Description: Yes **Summary:** Microsoft has introduced Phi-4, an advanced AI model optimized for complex reasoning tasks, particularly in STEM areas. With its robust architecture and safety features, Phi-4 underscores the importance of ethical…
-
Simon Willison’s Weblog: Phi-4 Technical Report
Source URL: https://simonwillison.net/2024/Dec/15/phi-4-technical-report/ Source: Simon Willison’s Weblog Title: Phi-4 Technical Report Feedly Summary: Phi-4 Technical Report Phi-4 is the latest LLM from Microsoft Research. It has 14B parameters and claims to be a big leap forward in the overall Phi series. From Introducing Phi-4: Microsoft’s Newest Small Language Model Specializing in Complex Reasoning: Phi-4 outperforms…
-
Cloud Blog: Google Cloud and Swift pioneer advanced AI and federated learning tech to help combat payments fraud
Source URL: https://cloud.google.com/blog/products/identity-security/google-cloud-and-swift-pioneer-advanced-ai-and-federated-learning-tech/ Source: Cloud Blog Title: Google Cloud and Swift pioneer advanced AI and federated learning tech to help combat payments fraud Feedly Summary: Conventional fraud detection methods have a hard time keeping up with increasingly sophisticated criminal tactics. Existing systems often rely on the limited data of individual institutions, and this hinders the…
-
Hacker News: AI hallucinations: Why LLMs make things up (and how to fix it)
Source URL: https://www.kapa.ai/blog/ai-hallucination Source: Hacker News Title: AI hallucinations: Why LLMs make things up (and how to fix it) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text addresses a critical issue in AI, particularly with Large Language Models (LLMs), known as “AI hallucination.” This phenomenon presents significant challenges in maintaining the reliability…