PROMPT ENGINEERING

Creating efficient prompts for big language models often starts as a sure bet… but it surely doesn’t at all times stay that way. Initially, following basic best practices seems sufficient: adopt the persona of...

Retrieval-Augmented Generation (RAG) is a robust technique that enhances language models by incorporating external information retrieval mechanisms. While standard RAG implementations improve response relevance, they often struggle in complex retrieval scenarios. This text explores...

As a Developer Advocate, it’s difficult to maintain up with user forum messages and understand the massive picture of what users are saying. There’s loads of priceless content — but how will you quickly...

Allow us to start with something everyone knows – AI responses often sound like they got here from AI. Every thing might feel a bit too polished, structured, or cliche. That has been one...

A team of scientists just found something that changes loads of what we thought we knew about AI capabilities. Your models aren't just processing information – they're developing sophisticated abilities that go way beyond...

A groundbreaking recent technique, developed by a team of researchers from Meta, UC Berkeley, and NYU, guarantees to reinforce how AI systems approach general tasks. Referred to as “Thought Preference Optimization” (TPO), this method...

The usage of large language models (LLMs) like ChatGPT is exploding across industries. Even scientists are leaning on AI to jot down or a minimum of polish their work. A recent evaluation of 5...

Large Language Models (LLMs) are powerful tools not only for generating human-like text, but in addition for creating high-quality synthetic data. This capability is changing how we approach AI development, particularly in scenarios where...