A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Optimizing Your LinkedIn Profile for Element Materials Technology So, you’re looking to make a splash at Element ...

Google finds nation-state hackers abusing Gemini AI for target profiling, phishing kits, malware staging, and model ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature stores, and “bring your own […] In this episode of eSpeaks, host Corey Noles ...

Threat actors are exploiting misconfigured web applications used for security training and internal penetration testing, such as DVWA, OWASP Juice Shop, Hackazon, and bWAPP, to gain access to cloud ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...

To test the models, it is important to input the same number of time steps used during training. The sampling routine can be different, and additionally the test_type argument can be used to specify ...

NEWPORT NEWS, Va. — The U.S. Army has taken a significant step to modernize how it manages Soldiers’ training data. On Nov. 15, ATIS Training — a streamlined, intuitive platform for managing ...