Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...

Tokens are the fundamental units that LLMs process. Instead of working with raw text (characters or whole words), LLMs convert input text into a sequence of numeric IDs called tokens using a ...

Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are fundamental limitations to their use.

Brad Gerstner at Altimeter Capital describes how the large language models (LLM) like ChatGPT could replace Google Internet Search. The cost per llm query is about 10 to 100 times more than the ...

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

Generative engine optimization (GEO) represents a shift from optimizing for keyword-based ranking systems to optimizing for how generative search engines interpret and assemble information. While the ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

Martian Learning Inc. today debuted a new artificial intelligence model mapping technology that it says can achieve better performance at lower costs than any single large language model. The startup ...

If you want to chat with many LLMs simultaneously using the same prompt to compare outputs, we recommend you use one of the tools mentioned below. ChatPlayGround.AI is one of the leading names in the ...

LLM stands for Large Language Model. It is an AI model trained on a massive amount of text data to interact with human beings in their native language (if supported). LLMs are categorized primarily ...