Predictive analytics. LLMs can allow analysts to analyze non-textual data, and, critically, to integrate those results with the analysis of standard numerical data. The combination broadens thereach of predictive analyticsby enabling it to spot more trends. For example, an LLM would be able to ...
An LLM then uses the user’s question, prompt, and the retrieved documents to generate an answer to the question. How to evaluate a RAG application The main elements to evaluate in a RAG application are as follows: Retrieval: This involves experimenting with different data processing strategies,...
How to Become A Data Analyst Step 1: Learn The Essential Data Analysis Skills Step 2: Get Qualified in Data Analysis Step 3: Practice Your Data Analyst Skills Step 4: Create A Data Analyst Portfolio of Projects Step 5: Start Applying For Entry-Level Data Analyst Jobs Become a Data Anal...
The invention of the database has given fresh breath to the people involved in the data analytics career path. Analysis refers to splitting up a whole into its individual components for individual analysis. Data analysis is a method through which raw data are processed and transformed into informa...
Learn to create diverse test cases using both intrinsic and extrinsic metrics and balance the performance with resource management for reliable LLMs.
Back To Basics, Part Uno: Linear Regression and Cost Function Data Science An illustrated guide on essential machine learning concepts Shreya Rao February 3, 2023 6 min read Must-Know in Statistics: The Bivariate Normal Projection Explained
These metrics can be directly computed for any feature that uses OpenAI model (opens in new tab)s and logs their API response (opens in new tab). GPU Utilization To estimate the usage cost of an LLM, we measure the GPU Utilization of the LLM. The main unit we use for me...
Techniques for monitoring performance vary slightly depending on the setup of the LLM powering the chatbot. However, the core goal remains the same – ensuring high end user satisfaction by delivering a low latency solution and collecting production input and output data to drive future improvement....
A few scenarios not to use LLMs include: Sensitive or critical decisions: Do not use LLMs to automate tasks requiring high accuracy or involving sensitive data. For example, legal or medical recommendations demand human expertise to avoid errors with major consequences. High-stakes creative work:...
Here are some methods and approaches to detect hallucination in LLM-generated text: Fact Verification: Cross-reference the information generated by the LLM with external data sources, trusted references or databases to verify the accuracy of facts presented in the text. If the information contradicts...