Learn to create diverse test cases using both intrinsic and extrinsic metrics and balance the performance with resource management for reliable LLMs.
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.
How to evaluate a RAG application Before we begin, it is important to distinguish LLM model evaluation from LLM application evaluation. Evaluating LLM models involves measuring the performance of a given model across different tasks, whereas LLM application evaluation is about evaluating different compone...
However, as the adoption of generative AI accelerates, companies will need to fine-tune their Large Language Models (LLM) using their own data sets to maximize the value of the technology and address their unique needs. There is an opportunity for organizations to leverage their Content Knowledge...
【LLM/大模型】Orca 2:教小语言模型如何推理(Orca 2: Teaching Small Language Models How to Reason) 无影寺 互联网行业 从业人员 6 人赞同了该文章 一、结论写在前面 论文研究表明,提高小语言模型的推理能力不仅是可能的,而且可以通过训练定制的合成数据来实现。 Orca 2模型通过实现各种推理技术和识别...
Deploy a vLLM model as shown below. Unclear - what model args (ie. --engine-use-ray) are required? What env. vars? What about k8s settings resources.limits.nvidia.com/gpu: 1 and env vars like CUDA_VISIBLE_DEVICES? Our whole goal here is to run larger models than a single instance ...
We defined a test in test_hallucinations.py so 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. In our pr...
This will display the models hosted by LM Studio. Step 3: Get Response from LLM /v1/completions is for single prompts, while /v1/chat/completions is for conversations with context. 1. Generate a Completion Use the /v1/completions endpoint to send a prompt and receive a response. ...
RAG is the easiest method to use an LLM effectively with new knowledge - customers likeMeeshohave effectively used RAG to improve the accuracy of their models, and ensure users get the right results. When to Fine-Tune Fine-tuning refers to the process of...
A beginner’s guide to forecast reconciliation Dr. Robert Kübler August 20, 2024 13 min read Hands-on Time Series Anomaly Detection using Autoencoders, with Python Data Science Here’s how to use Autoencoders to detect signals with anomalies in a few lines of… ...