Learn to create diverse test cases using both intrinsic and extrinsic metrics and balance the performance with resource management for reliable LLMs.
Evaluation is how you pick the right model for your use case, ensure that your model’s performance translates from prototype to production, and catch performance regressions. While evaluating Generative AI applications (also referred to as LLM applications) might look a little different, the same ...
Therefore, larger models will likely need to run on private servers for self-hosted LLM applications. In case we want to build a large-scale application, it is worth noticing that Ollama can also run with Docker Desktop on Mac and run inside Docker containers with GPU acceleration on Linux....
We defined a test intest_hallucinations.pyso we can find out if our application is generating quizzes that aren’t in our test bank. This is a basic example of a model-graded evaluation, where we use one LLM to review the results of AI-generated output from another LLM. ...
The Open Web Application Security Project (OWASP) just released the “Top 10 for LLM Applications 2025,” a comprehensive guide to the most critical security risks to LLM applications. The 2025 list shifts the priority level of some of the risks we saw in last year’s list, as well as ...
it is becoming increasingly prevalent in daily life. As a result, the outlook is bright for artificial intelligence jobs. In this course, you will learn how to navigate the dynamic field of artificial intelligence (AI), exploring its applications and the evolving landscape of AI-related careers....
and all the software undergirding that. As a topic to write about or to dive into, AI is quicksand. Everything moves whip-fast, and the environment undergoes massive shifts on a constant basis. So much of the software discussed here may not last long before newer and better LLMs and cl...
which might provide a better way to detect which parts of the text "are likely to follow the same pattern of words that a large language model [LLM] would produce," according to Writer's FAQ section. "The detector will not be 100% accurate, but can help give an indication on the like...
Having been trained on a vast corpus of text, LLMs can manipulate and generate text for a wide variety of applications without much instruction or training. However, the quality of this generated output is heavily dependent on the instruction that you give the model, which is referred to as ...
We then used the vLLM inference engine to build a BentoML service and deployed it on BentoCloud with a few simple steps. Consider taking the Associate AI Engineer for Developers career track to learn how to integrate AI into software applications using APIs and open-source libraries. Develop ...