Evaluators: A list of evaluators is provided to evaluate the given prompts (questions) as input and output (answers) from LLM models. The following code runs the Evaluate API for each provided model type in a loop and logs the evaluation results into your Azur...
Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI apps.
Salesforce Chief Scientist Silvio Savarese explains the difference between small and large language models, and how to choose what's right for your
Facebook researchers wrote that LLaMA 2 models generally perform better than existing open-source models and are close behind closed-source models like ChatGPT, according to the human evaluations inthe paper. The paper acknowledgesit can’t yet fully compare to GPT4, OpenAI’s most advanced LLM....
LLM prompt engineering might sound like a complex concept, but it’s becoming increasingly important in the modern world. Large Language Modelsare beginning to influence every part of the modern world. They affect how we communicate with machines, create content, and even deliver exceptiona...
Let's say you want the AI to write personalized emails for a sales or marketing campaign. List all model options and identify each model's size, performance and risks Let's compare two models designed for text generation for this example: A 70B general purpose large model and a 13B ...
Things to consider while building a GPT model The future of custom GPTs What is a GPT model? GPT stands for Generative Pre-trained Transformer, the first generalized language model in NLP. Previously, language models were only designed for single tasks like text generation, summarization or class...
LLM fine-tuning vs retrieval-augmented generation (RAG) vs retrieval-augmented fine-tuning (RAFT) (source: arxiv) In their paper, the researchers compare RAG methods to “an open-book exam without studying” and fine-tuning to a “closed-book exam” where the model has memorized information ...
Multiple-choice question answering (MCQA) is often used to evaluate large language models (LLMs). To see if MCQA assesses LLMs as intended, we probe if LLMs can perform MCQA with choices-only prompts, where models must select the correct answer only from the choices. In three MCQA ...
In this article, we will compare these three models in regards to: How to create an AI-generated image How much does creating AI-generated art cost? Can you use AI-generated images commercially? What we will not cover is an explanation of how these AI models work under the ho...