List: AI trends | Curated by Shirish Bahirat Ph.D.

Nov 26, 2023
38 stories
AI trends
In
TDS Archive
by
Cameron R. Wolfe, Ph.D.
LLaMA: LLMs for Everyone!High-performing language models that are open-source…
Jul 11, 2023
4
Jul 11, 2023
4
Harshitha Paritala
Crafting an AI-Powered Conversationalist: Step-by-Step Guide to Llama 2 Model ImplementationLarge Language Models (LLMs) have shown great promise as highly capable AI assistants that excel in complex reasoning tasks requiring…
Jul 26, 2023
Jul 26, 2023
Cobus Greyling
Agent NetworksLLM Agents rely on natural language for input and output & creating a network of agents is becoming increasingly feasible.
Apr 28, 2023
Apr 28, 2023
In
TDS Archive
by
Dr. Varshita Sher
A Gentle Intro to Chaining LLMs, Agents, and utils via LangChainUnderstand the basics of agents, tools, and prompts and some learnings along the way
Apr 21, 2023
19
Apr 21, 2023
19
Charles Curt
LLM Meetings a Study on Multi-Agent CoherencySUMMARY OF THIS WORK (you're welcome)
Jul 28, 2023
Jul 28, 2023
In
TDS Archive
by
Divyanshu Mishra
Convolution Vs CorrelationConvolutional Neural Networks which are the backbones of most of the Computer Vision Applications like Self-Driving Cars, Facial…
Nov 13, 2019
3
Nov 13, 2019
3
Rakesh Rajpurohit
Getting Started with Hugging Face Transformer Models and TokenizersNatural Language Processing (NLP) has undergone a revolutionary transformation with the advent of transformer models. The Hugging Face…
Aug 14, 2023
Aug 14, 2023
In
TDS Archive
by
Adarsh Menon
Linear Regression using Gradient DescentIn this tutorial you can learn how the gradient descent algorithm works and implement it from scratch in python. First we look at what…
Sep 16, 2018
17
Sep 16, 2018
17
In
Analytics Vidhya
by
Maurício Cordeiro
Creating a Very Simple U-Net Model with PyTorch for Semantic Segmentation of Satellite ImagesImplementation of simplified U-Net in PyTorch, for satellite image segmentation, with just few lines of code.
Apr 5, 2020
4
Apr 5, 2020
4
In
TDS Archive
by
Yeung WONG
Why you should use Bayesian Neural Network?Bayesian Neural Network explains the uncertainties from the model and provides the distributions over the weights and outputs.
Oct 16, 2021
1
Oct 16, 2021
1
In
Analytics Vidhya
by
Adwaittoro
A comprehensive guide to Linear RegressionWhat is Regression?
Nov 4, 2020
Nov 4, 2020
In
Python in Plain English
by
Okan Yenigün
Logistic Regression from ScratchExplained and Implemented
Mar 21, 2022
Mar 21, 2022
In
Entrepreneurship Handbook
by
Daniel Rizea
5 Lessons on Career Growth From a Google ExecThere is no easy path. The elevator is broken and you need to take the stairs and climb fast.
Sep 28, 2023
122
Sep 28, 2023
122
In
TDS Archive
by
Chris Mingard
What can flatness teach us: understanding generalisation in Deep Neural NetworksThis is the third post in a series summarising work that seeks to provide a theory of generalisation in Deep Neural Networks (DNNs)…
Mar 29, 2021
Mar 29, 2021
Conor Mack
Log Loss: A short noteLog Loss is a popular cost function used in machine learning for optimising classification algorithms. Log loss can be directly applied to…
Mar 3, 2018
Mar 3, 2018
In
TDS Archive
by
Rajesh Shreedhar Bhat
Why not MSE as a loss function for logistic regression? 🤔Authors: Rajesh Shreedhar Bhat*, Souradip Chakraborty* (* denotes equal contribution).
Sep 15, 2019
8
Sep 15, 2019
8
In
TDS Archive
by
Suraj Verma
Logistic Regression From Scratch in PythonMachine Learning From Scratch: Part 5
Apr 8, 2021
6
Apr 8, 2021
6
Dhiraj K
Logistic Regression in Python from ScratchLet’s understand the basics of Logistic Regression
Sep 5, 2020
1
Sep 5, 2020
1
In
TDS Archive
by
Irhum Shafkat
Intuitively Understanding Convolutions for Deep LearningExploring the strong visual hierarchies that makes them work
Jun 1, 2018
34
Jun 1, 2018
34
Fareed Khan
Understanding Transformers: A Step-by-Step Math Example — Part 1I understand that the transformer architecture may seem scary, and you might have encountered various explanations on YouTube or in blogs…
Jun 5, 2023
63
Jun 5, 2023
63