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Latest articles
Hands-On Introduction to Open AI Function Calling
Hands-On Introduction to Open AI Function Calling
A few months ago, OpenAI introduced a new capability to its API, enhancing its most recent models to accept additional parameters for…
Youssef Hosni
Jun 9
Testing Prompt Engineering-Based LLM Applications
Testing Prompt Engineering-Based LLM Applications
Hands-On Prompt Engineering for LLMs Application Development
Youssef Hosni
Jun 9
MidJourney and Surrealism: A Match Made in Artistic Heaven
MidJourney and Surrealism: A Match Made in Artistic Heaven
This combination is the perfect match for creative minds. Learn how to create stunning, imaginative art.
PromptDervish
Jun 8
RNN: Basic Recursive Neural Network for sentiment analysis in PyTorch
RNN: Basic Recursive Neural Network for sentiment analysis in PyTorch
This is a quick example to demonstrate the use of RNN to classify a set of tweets into positive or negative feedback. The idea is to give a…
Greg Postalian-Yrausquin
Jun 7
As a Product Manager, here’s how I *actually* use ChatGPT at work
As a Product Manager, here’s how I *actually* use ChatGPT at work
Spoiler alert: no, I don’t use it to come up with new product features.
Joy Zhang
Jun 7
A Study of Llama 3’s Rotary Position Embeddings
A Study of Llama 3’s Rotary Position Embeddings
Exploring the Advanced Mechanism Behind LLaMA 3’s Superior Positional Encoding for Natural Language Processing
Lorentz Yeung
Jun 7
Top Data Validation Tools for Machine Learning
Top Data Validation Tools for Machine Learning
Discover Python tools that can catch any issues with your data!
Eryk Lewinson
Jun 7
Let’s Talk Auto-Encoders
Let’s Talk Auto-Encoders
and how to improve their performance
Aminul Huq
Jun 7
Understanding MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Understanding MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
the math and intuition behind a novel parameter-efficient fine-tuning method
Hesam Sheikh
Jun 7
LoRA Learns Less and Forgets Less
LoRA Learns Less and Forgets Less
We will go through LoRA (Low-Rank Adaptation of Large Language Models), and compare LoRA to Full Fine-Tuning.
Hesam Sheikh
Jun 6
Building AI Agents With Crew AI using Google Gemini, Groq, LLama3
Building AI Agents With Crew AI using Google Gemini, Groq, LLama3
Introduction
Suhaib Arshad
Jun 6
Top Important LLMs Papers for the Week from 27/05 to 02/06
Top Important LLMs Papers for the Week from 27/05 to 02/06
Stay Updated with Recent Large Language Models Research
Youssef Hosni
Jun 6
Automatic Trend Change Points Detection in Time Series Analysis
Automatic Trend Change Points Detection in Time Series Analysis
How to identify and model trend change point into linear regression
Daniel Pollak
Jun 6
Reduce Risks when Coding with AI, AI Consulting Opportunities, Mistral 7B Deep Dive #27
Reduce Risks when Coding with AI, AI Consulting Opportunities, Mistral 7B Deep Dive #27
AI Community Projects, Group Learning, New Apps, and more!
Towards AI Editorial Team
Jun 6
Top Important Computer Vision Papers for the Week from 27/05 to 02/06
Top Important Computer Vision Papers for the Week from 27/05 to 02/06
Stay Updated with Recent Computer Vision Research
Youssef Hosni
Jun 6
Artificial General Ignorance and AI bubble
Artificial General Ignorance and AI bubble
Overcome our own biases and start from ABC: a hard inevitable path.
Fabio Matricardi
Jun 6
Deepspeed ZeRO-DP: distributed training for large models
Deepspeed ZeRO-DP: distributed training for large models
Deepspeed’s ZeRO (Zero Redundancy Optimizer) is a distributed training framework with a number of optimizations to easily train large deep…
Amina Shabbeer
Jun 6
Feature Selection and Generalization using Regularization
Feature Selection and Generalization using Regularization
An Overview of L1 and L2 Regularization Techniques and a Case Study on Feature Selection Using Neural Networks
Shahriar Hossain
Jun 5
Kolmogorov-Arnold Networks for Mathematical Discovery
Kolmogorov-Arnold Networks for Mathematical Discovery
Exploring Prime Number Distribution and Predictive Modeling with KAN and Other Mathematical Insights
Shenggang Li
Jun 5
Here’s How to Create a Bar Chart Race in Minutes for Any Data
Here’s How to Create a Bar Chart Race in Minutes for Any Data
Turn Any Dataset into a Dynamic Bar Chart Race
Muhammad Saad Uddin
Jun 5
How To Use Target Encoding in Machine Learning Credit Risk Models — Part 2
How To Use Target Encoding in Machine Learning Credit Risk Models — Part 2
In my previous story Part 1 of this topic —…
Varun Nakra
Jun 5
Month in 4 Papers (May 2024)
Month in 4 Papers (May 2024)
This month, we explore optimizing model merging, fine-tuning supervision, autonomous coding, and selective token relevance in NLP.
Ala Falaki, PhD
Jun 5
TensorFlow: The Hidden Gem of Data Science.
TensorFlow: The Hidden Gem of Data Science.
I have been reading a lot of publications regarding data science for the past 3 years or so, and I honestly think that tensor flow is not…
Stephen Chege-Tierra Insights
Jun 5
An Easy One Prompt Stunning Python Sunburst Dashboard With GPT4
An Easy One Prompt Stunning Python Sunburst Dashboard With GPT4
No-fuss beautiful Plotly sunburst chart with GPT-4 prompting
John Loewen, PhD
Jun 4
Can Transformer Substitute Graph Neural Networks?
Can Transformer Substitute Graph Neural Networks?
Are transformers able to do graph reasoning and to which extent?
Salvatore Raieli
Jun 4
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