Artificial Inteligence Metrics System Design 
CIO
NOVEMBER 19, 2024
From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. In 2024, a new trend called agentic AI emerged. Don’t let that scare you off.
Perficient
NOVEMBER 20, 2024
Introduction to Multiclass Text Classification with LLMs Multiclass text classification (MTC) is a natural language processing (NLP) task where text is categorized into multiple predefined categories or classes. Traditional approaches rely on training machine learning models, requiring labeled data and iterative fine-tuning.
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Xebia
AUGUST 9, 2023
With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. Table of Contents What is Machine Learning System Design?
CIO
APRIL 25, 2024
During the summer of 2023, at the height of the first wave of interest in generative AI, LinkedIn began to wonder whether matching candidates with employers and making feeds more useful would be better served with the help of large language models (LLMs). We didn’t start with a very clear idea of what an LLM could do.”
CIO
FEBRUARY 4, 2025
This surge is driven by the rapid expansion of cloud computing and artificial intelligence, both of which are reshaping industries and enabling unprecedented scalability and innovation. GreenOps incorporates financial, environmental and operational metrics, ensuring a balanced strategy that aligns with broader organizational goals.
AWS Machine Learning - AI
MARCH 5, 2025
These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.
John Snow Labs
NOVEMBER 9, 2023
Introduction Building applications with language models involves many moving parts. Evaluation and testing are both critical when thinking about deploying Large Language Model (LLM) applications. QA models play a crucial role in retrieving answers from text, particularly in document search.
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