As a bonus, get the code to apply feature extraction anywhere Image created by DALL·E 3 based on the prompt “Draw a pack of futuristic grey wolves at night by the beach.”This is the last part of my series of nature-inspired articles. Earlier, I had talked about algorithms inspired by genetics, swarm, bees, and ants.…

Featurizing time series data into a standard tabular format for classical ML models and improving accuracy using AutoML Source: Ahasanara AkterThis article delves into enhancing the process of forecasting daily energy consumption levels by transforming a time series dataset into a tabular format using open-source libraries. We explore the application of a popular multiclass classification…

Whether you’re applying to your first internship to running a multidisciplinary team of analysts and engineers, data science careers come with their own specific set of challenges. Some of these might be more exciting than others, and others can be downright tedious—that’s true in any job, of course—but we believe in framing all of these…

Imports We import modules from Hugging Face’s transforms, peft, and datasets libraries. from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline from peft import prepare_model_for_kbit_training from peft import LoraConfig, get_peft_model from datasets import load_dataset import transformers Additionally, we need the following dependencies installed for some of the previous modules to work. !pip install auto-gptq !pip install optimum !pip…

Optimising multi-model collaboration with graph-based orchestration Orchestra — photographer Arindam Mahanta by unsplashIntegrating the capabilities of various AI models unlocks a symphony of potential, from automating complex tasks that require multiple abilities like vision, speech, writing, and synthesis to enhancing decision-making processes. Yet, orchestrating these collaborations presents a significant challenge in managing the inner relations…

This article will show you different approaches you can take to create embeddings for your data Creating quality embeddings from your data is crucial for your AI system's efficacy. This article will show you different approaches you can use to convert your data from formats like images, texts, and audio, into powerful embeddings that can…

Visualizing satellite images captured over volcanos and wildfires in various spectral bands Sentinel-2 images captured over a volcano and a wildfire visualized with different spectral bands by the author🌟 Introduction 🔍 Sentinel-2 (Spectral Bands) 🌐 Downloading Sentinel-2 Images ⚙️ Processing Sentinel-2 Images (Clipping and Resampling) 🌋 Visualization of Sentinel-2 Images (Volcano) 🔥 Visualization of Sentinel-2…

Using OpenAI’s Clip model to support natural language search on a collection of 70k book covers In a previous post I did a little PoC to see if I could use OpenAI’s Clip model to build a semantic book search. It worked surprisingly well, in my opinion, but I couldn’t help wondering if it would…

An accessible walkthrough of fundamental properties of this popular, yet often misunderstood metric from a predictive modeling perspective Photo by Josh Rakower on UnsplashR² (R-squared), also known as the coefficient of determination, is widely used as a metric to evaluate the performance of regression models. It is commonly used to quantify goodness of fit in…

For additional ideas on how to improve the performance of your RAG pipeline to make it production-ready, continue reading here: This section discusses the required packages and API keys to follow along in this article. Required Packages This article will guide you through implementing a naive and an advanced RAG pipeline using LlamaIndex in Python.…