How to Use LLMs for Powerful Automatic Evaluations
discuss how you can perform automatic evaluations using LLM as a judge. LLMs are widely used today for a variety ...
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GPT-5 Doesn’t Dislike You—It Might Just Need a Benchmark for Emotional Intelligence
Since the all-new ChatGPT launched on Thursday, some users have mourned the disappearance of a peppy and encouraging personality in ...
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Coconut: A Framework for Latent Reasoning in LLMs
Paper link: https://arxiv.org/abs/2412.06769 Released: 9th of December 2024 Figure 1. The two reasoning modes of Coconut. In Language Mode (left), ...
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Estimating from No Data: Deriving a Continuous Score from Categories
has collected data on the outcomes of patients who have acquired “Pathogen A” responsible for an infectious respiratory illness. Available ...
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Demystifying Cosine Similarity | Towards Data Science
is a commonly used metric for operationalizing tasks such as semantic search and document comparison in the field of natural ...
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How to Write Insightful Technical Articles
, I discuss how you can write technical articles. I have been writing such articles for around 2.5 years, and ...
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How to Design Machine Learning Experiments — the Right Way
Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, ...
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Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing
In Part 3.1 we started discussing how decomposes the time series data into trend, seasonality, and residual components, and as ...
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Finding Golden Examples: A Smarter Approach to In-Context Learning
Context using Large Language Models (LLMs), In-Context Learning (ICL), where input and output are provided to LLMs to learn from ...
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Context Engineering — A Comprehensive Hands-On Tutorial with DSPy
Context Engineering by now. This article will cover the key ideas behind creating LLM applications using Context Engineering principles, visually ...
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