AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
Presented by Tulsa Innovation LabsAs the global energy system evolves, companies are racing to adopt technologies that can deliver real-world solutions, especially in hard-to-abate industries. Oklahom [...]
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]