“AI is already eating its own,” says Malcolm Frank, CEO of TalentGenius. “Prompt engineering has become something that’s ...

Retrieval augmented generation (RAG) can help reduce LLM hallucination. Learn how applying high-quality metadata and ...

According to Bloomberg's AI researchers, the increasingly popular framework can vastly increase your chances of getting ...

The framework essentially replaces manual prompt tuning with a smarter, iterative compilation process. By replacing fragile prompts with declarative modules, DSPy makes LLM pipelines more robust ...

DeepMind's CaMeL approach has demonstrated strong performance against prompt injection attacks in the AgentDojo benchmark by ...

Using the tool, developers can enter a prompt into an LLM and map out which ... it easier to implement RAG, or retrieval-augmented generation. RAG is a machine learning method that enables LLMs ...

With pure LLM-based chatbots this is beyond question, as the responses provided range between plausible to completely delusional. Grounding LLMs with RAG reduces the amount of made-up nonsense ...

In my last piece on RAG, I pressed vendors for answers on the problem of LLMs ignoring the context window: Want better LLM results? Then it's time for AI evaluation tools - learning from ... right ...

which means the models go beyond producing output and begin to "reason" and gauge the intent of the prompt. Ng said that lazy prompting is an "advanced" technique that works best when the LLM has ...

A team of AI researchers at Mohamed bin Zayed University of AI, in Abu Dhabi, working with a colleague from the University of Central Florida, has developed a curriculum learning–based LLM ...