Logo: 
Areas Served: 
Microsoft Phi-2: Tiny Mighty Open Source Model with Verbal Diarrhea
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. A new lightweight model for developing prototypes The Phi-2 model, developed by Microsoft, is a 2.7 billion-parameter language model that has recently gained attention in the field of natural language processing …
A Swift Introduction to Deep Learning with PyTorch and TensorFlow
Author(s): Günter Röhrich Originally published on Towards AI. Stepping through theory, background, and code examples Neural networks have gained incredible attention over the last decade (despite being around for much longer), and seem to have made incredible progress in the eyes of …
Logistic Regression’s Journey with Imbalanced Data
Author(s): Anand Raj Originally published on Towards AI. Visual intuition behind the effect of imbalanced data on logistic regression In the vast landscape of data-driven decision-making, class imbalance is a subtle yet influential factor that can significantly impact the performance of machine …
Categorical Encoding for Time Series: Embracing Dynamic and Meaningful Techniques
Author(s): Alexandre Warembourg Originally published on Towards AI. Let’s move beyond static encoding methods and explore dynamic, meaningful techniques for high-cardinality categorical variables.source: Image generated by Dall-E from Author prompt The categorical data type is data divided by several modalities; let’s take …
Introducing our AI Tutor Bot — a RAG App Created with Towards AI & Activeloop
Author(s): Towards AI Editorial Team Originally published on Towards AI. Today, we’re excited to release our AI Tutor Bot to accompany the third installment of our GenAI 360: Foundational Model Certification, a collaborative effort involving Towards AI, Activeloop, and the Intel Disruptor …
What’s In/Out for LLMs 2024: A new year’s guide for app developers
Author(s): Ollie Originally published on Towards AI. If the pace of AI innovation is anything like last year, we’re all in for a wild ride in 2024. Here is our guide for AI app developers to toss out the “old” way of …
A Long-Term Demand Forecasting Model Implementation Case Study with a Major Retailer
Author(s): Alexandre Warembourg Originally published on Towards AI. Explore how I developed a core demand forecasting algorithm for ten countries, dealing with an average product sales history of 11 months and 30% new products in each batch. source : Dall-E generated picture …
During Off-Hours, The AI Takes Over Customer Service
Author(s): Alden Do Rosario Originally published on Towards AI. One of the most obvious uses of generative AI, like ChatGPT, is to improve off-hours customer service. In simple terms, off-hours is the time that a human live agent is not available to …
How To Create Multiline Synthetic Images Using Synthtiger
Author(s): Eivind Kjosbakken Originally published on Towards AI. Making synthetic data is one of the quickest ways of acquiring a labeled dataset for supervised learning. Instead of labeling files yourself, you already have the ground truth as you are creating the images. …
Why Do We Need More Explainable AI?
Author(s): Abdelkader Rhouati Originally published on Towards AI. In the era of AI, where new models continue to emerge every day in all particularly sensitive areas, such as health and education, controlling these models becomes a necessity. The main problem with AI …
Exploring Julia Programming Language: Application Programming Interface (API) — Part 2
Author(s): Jose D. Hernandez-Betancur Originally published on Towards AI. Creating RESTful APIs and services with JuliaImage Generated by AI on Gencraft U+1F44B Welcome back to our series on leveraging Julia for end-to-end machine learning and data science projects. In this post, we’ll …
How To Analyze Data Like a Pro Without Coding?
Author(s): Shreepada Rao Originally published on Towards AI. Leveraging Databricks assistant and Copilot for your day-to-day tasks to boost productivityImage by author: Databricks Assistant “With our new copilot for work, we’re giving people more agency and making technology more accessible through the …
Simplifying Decorators in Python | A step-by-step approach.
Author(s): Akhil Theerthala Originally published on Towards AI. DALL.E generated image for the blog post of title “Simplifying decorators in python programming language”. Image generated by Author Simplifying Decorators in Python U+007C A step-by-step approach. Python is one of the simpler languages …
The Simple Principle Behind Retrieval Augmented Generation in Large Language Models
Author(s): Krupesh Raikar Originally published on Towards AI. Understand RAG intuitively and implement a chat pipeline with your documents using LangChain and Llamma v2Photo by Mika Baumeister on Unsplash In a timeframe that can only be best described as a blink of …
From Raw to Refined: A Journey Through Data Preprocessing — Part 6: Imbalanced Datasets
Author(s): Shivamshinde Originally published on Towards AI. Photo by Colton Sturgeon on Unsplash Table of Content What is imbalanced data? Degree of imbalance Why having an imbalanced dataset is a problem? Methods to deal with imbalanced data– Try getting more data– Try …
Popular posts
Updates
Recent Posts
