Blog — page 26.
Interview: Mark Scarr, Senior Director of Data Science at Atlassian
Mark Scarr is the Senior Director of Data Science at Atlassian, where he heads up the Core Machine…
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One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
Introduction In this week’s paper reading, we discuss “One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.” GLoRA is a universal,…
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HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
Introduction In this paper reading, we explore HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels. HyDE is a…
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How To Troubleshoot LLM Summarization Tasks
This blog is co-authored by Xander Song, Developer Advocate at Arize Follow along in the Colab version of…
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Voyager: An Open-Ended Embodied Agent with LLMs Paper Reading and Discussion
Introduction In this paper reading, we discuss Voyager: the first LLM-powered embodied lifelong learning agent in Minecraft. Voyager…
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LoRA: Low-Rank Adaptation of Large Language Models Paper Reading and Discussion
Introduction In this paper reading, we discuss LoRA, which freezes the pre-trained model weights and injects trainable rank…
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Retrieval-Augmented Generation – Paper Reading and Discussion
Introduction In this paper reading, we discuss “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.” We know GPT-like LLMs are…
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AI Ethical Issues Unraveled: Building a Fair, Transparent, and Responsible Future
In recent years, AI has permeated nearly every aspect of our lives, from healthcare and finance to education…
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LIMA: Less Is More for Alignment – Paper Reading and Discussion
Introduction In this paper reading, we discuss “LIMA: Less Is More for Alignment.” This research delves into the…
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Drag Your GAN: Interactive Point-Based Manipulation on the Generative Image Manifold
Introduction In this paper reading, we dive into “Drag Your GAN: Interactive Point-based Manipulation on the Generative Image…
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Cross Validation: What You Need To Know, From the Basics To LLMs
From the basics to how to do cross validation on large language models What Is Cross Validation? Imagine…
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Evaluating Model Fairness
In many ways, bias and fairness in AI are two sides of the same coin; bias is a…
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Arize gives AI teams observability and evals to understand and improve agent performance.
