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Super Weights in LLMs - How Pruning Them Destroys a LLM's Ability to Generate Text ?
Super weights are crucial to performance of LLMs and can have outsized impact on LLM model's behaviour
Nov 18
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Priyanka Nath
1
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Super Weights in LLMs - How Pruning Them Destroys a LLM's Ability to Generate Text ?
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Everything you need to know about identifying hallucinations by LLMs
“Why is this misleading?”: Detecting News Headline Hallucinations with Explanations
Jan 2
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Priyanka Nath
3
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Everything you need to know about identifying hallucinations by LLMs
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Learn from Experiences of Experts - Running Trustworthy A/B Test
The definitive practical guide to A/B tests summarizing experience of experts
5 hrs ago
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Priyanka Nath
1
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Learn from Experiences of Experts - Running Trustworthy A/B Test
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Introducing Etalon: How we choose a LLM with optimal Runtime Performance ?
How to evaluate LLMs and identify best LLM Inference System
Nov 11
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Priyanka Nath
1
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Introducing Etalon: How we choose a LLM with optimal Runtime Performance ?
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Improving performance of LLM models using series of prompts that mimics how we humans solve complex problems
Sep 9
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Priyanka Nath
1
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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Everything you need to know about Activation Functions
Sep 2, 2022
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Joshua Raj
35
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Everything you need to know about Activation Functions
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Here is what you need to know about Sparse Categorical Cross Entropy in nutshell
Aug 31, 2022
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Sarthak Kedia
and
Priyanka Nath
5
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Here is what you need to know about Sparse Categorical Cross Entropy in nutshell
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Layman's Guide to Lottery Ticket Hypothesis In Neural Network
Aug 20, 2022
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Joshua Raj
31
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Layman's Guide to Lottery Ticket Hypothesis In Neural Network
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Everything you need to know about Distributed training and its often untold nuances
Sep 15, 2022
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Joshua Raj
21
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Everything you need to know about Distributed training and its often untold nuances
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How to apply Boosting when the Data Labels are Noisy and Uncertain ?
LocalBoost - Local Boosting for Weakly-Supervised Learning
Feb 28
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Priyanka Nath
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How to apply Boosting when the Data Labels are Noisy and Uncertain ?
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DiffGrad : Is it the right optimization method for training your CNNs?
Learn about DiffGrad - optimizer that solves the overshooting problem of Adam
Sep 25, 2023
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Priyanka Nath
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DiffGrad : Is it the right optimization method for training your CNNs?
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What is Ant Colony Optimization and how does it help?
Deep dive into mechanics and applications of Ant Colony Optimization
Jan 26, 2023
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Sheryl Bellary
1
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What is Ant Colony Optimization and how does it help?
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A Look Into The Emerging Domain of Metric Learning
All about metric Learning and the impact it makes on the world of computer vision
Dec 21, 2022
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Joshua Raj
4
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A Look Into The Emerging Domain of Metric Learning
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OptFormer: Google's Improved Hyperparameter Optimization Technique
Optimizers with Transformers
Dec 16, 2022
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Sheryl Bellary
4
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OptFormer: Google's Improved Hyperparameter Optimization Technique
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Simplifying Similarity Problem: Introduction to Siamese Neural Networks
Learn how a machine learning model is created using few images per class.
Dec 13, 2022
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Sheryl Bellary
4
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Simplifying Similarity Problem: Introduction to Siamese Neural Networks
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A look at Stable Diffusion - An open-source text to image alternative to MidJourney and DALL-E 2
Implementing Stable Diffusion using Tensorflow and keras
Dec 7, 2022
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Sheryl Bellary
6
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A look at Stable Diffusion - An open-source text to image alternative to MidJourney and DALL-E 2
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