Evalverse: Revolutionizing Large Language Model Evaluation with a Unified, User-Friendly Framework
Discover Evalverse: A groundbreaking framework revolutionizing Large Language Model evaluation. With its unified approach and user-friendly features, Evalverse simplifies assessment, making AI advancements inclusive and comprehensive. Explore its key features and architecture, and witness its practical application in our demonstrative video. Join us in driving innovation and accessibility in AI technology with Evalverse!
Open Source All About Data Processing, Dataverse
Dataverse is a freely-accessible open-source project designed to streamline the extract, transform, and load (ETL) pipeline using Python. In this post, we delve into the origins of this project and shed light on its future prospects in the realm of open-source data processing.
(Almost) Zero Hallucination with RAG and Groundedness Check
Unraveling the mechanics behind translating LLM outputs into leaderboard scores. Exploring a spectrum of evaluation mechanisms that span from automated metrics to human assessments rooted in real-world applicability.
LLM Evaluation Part2. Mechanics Behind LLM Scoring Systems
Unraveling the mechanics behind translating LLM outputs into leaderboard scores. Exploring a spectrum of evaluation mechanisms that span from automated metrics to human assessments rooted in real-world applicability.
LLM Evaluation Part1. What is a Benchmark Dataset?
Want to know why and how we evaluate LLM models?
Reinterpreting the History of NLP-based AI through a Data-Centric Perspective
What insights can be gained by examining natural language processing (NLP) through a data-centric perspective? Explore our blog post that delves into the 70-year history of AI, covering rule-based systems, machine learning, deep learning, and the recent emergence of large language models.