No code, no problem ...

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...

Google rolled out Gemini 3.1 Pro yesterday, touting a 77.1% score on novel logic puzzles that models can't just memorize—more than double 3 Pro's result—and record marks for expert-level scientific ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

No fake news here, you really can program with musical notes if you want to!

You can even self-host it!

While Anthropic’s Claude Code grabbed headlines, IBM has been deploying its own generative AI solution, Watsonx Code Assistant for Z, designed to modernize the very mainframes it built. Unlike general ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Think of a REST API like a waiter in a restaurant. You (an app) tell the waiter what you want (your request), and the waiter goes to the kitchen (the server) to get it for you. REST is just a set of ...

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