Unlocking the Power of Web Data: Fueling AI and LLM Innovations
Author(s): Towards AI Editorial Team Originally published on Towards AI. Artificial Intelligence (AI) has evolved from a niche field into a driving force behind some of today’s most impactful technologies. Large Language Models (LLMs), natural language processing (NLP) systems, and predictive analytics …
AI-Powered PCs Are Here — How IFA 2024 Is Shaping the Future of Computing
Author(s): Chiapeilie Originally published on Towards AI. A closer look at the latest AI innovations from Lenovo, ASUS, and other tech giants, transforming laptops and desktops into intelligent companions This member-only story is on us. Upgrade to access all of Medium. Photo …
Handling Mixed Variables in Feature Engineering: A Practical Guide with Code
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. A girl looking at a screen containing mixed variables. Source: Image generated by Dall-E Imagine you’re working on a brand-new data project, …
A Beginner’s Guide to Converting Numerical Data to Categorical: Binning and Binarization
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine sifting through rows of data in a spreadsheet packed with numbers that look impressive at first glance. But when you try …
Optical Character Recognition (OCR) with CNN-LSTM Attention Seq2Seq
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Photo by Towfiqu barbhuiya on Unsplash In previous articles, we have covered a lot, and exhaustively, on Convolutional Neural Networks (CNNs) and their various Deep Learning tasks. CNNs are particularly good at learning …
Best Data Science Books & Courses To Get A Job
Author(s): Egor Howell Originally published on Towards AI. A comprehensive guide to the books and courses that helped me in my journey. This member-only story is on us. Upgrade to access all of Medium. Image by author. After working 3 years as …
Let’s Build GPT from Scratch for Text Generator
Author(s): Asad iqbal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. We will use KerasNLP to build a scaled-down Generative Pre-Trained (GPT) model in this example. GPT is a Transformer-based model that allows …
Advanced Recipes for Contrastive Learning
Author(s): Raj Sangani Originally published on Towards AI. Photo by Agence Olloweb on Unsplash Note : This blog assumes familiarity with basic knowledge about dense retrievers, RAG systems and contrastive learning. A very solid introduction to this can be found in the …
Create an Instruction Dataset From Scratch
Author(s): Arthur Lagacherie Originally published on Towards AI. image by me My goal today is to create an instruction dataset from Wikipedia texts. But first, what is an Instruct dataset.? An Instruct dataset is a dataset for LLMs fine-tuning, after its pre-training, …
#39 Top 5 ML Algorithms, Graph RAG, & Tutorial for Creating an Agentic Multimodal Chatbot.
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we have discussed some of the latest industry innovations and trends like GraphRAG, Agentic chatbots, evolving trends with search engines, and some very interesting project-based collaboration …
Small AI Models Will Takeover Frontier Models At Specific Tasks
Author(s): Lorenzo Zarantonello Originally published on Towards AI. The increasing costs and diminishing returns of training LLMs create the ground to optimize small AI models. This member-only story is on us. Upgrade to access all of Medium. Until recently, big tech and …
How Does AI Work? Create a Neural Network from Scratch
Author(s): Sean Jude Lyons Originally published on Towards AI. By the end of this article, you’ll be able to build your own model and Machine Learning library to make predictions. Let's begin by writing a simple function and discussing it: def parabola_function(x): …
KNNs & K-Means: The Superior Alternative to Clustering & Classification.
Author(s): Surya Maddula Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Let’s discuss two popular ML algorithms, KNNs and K-Means. Stick around; I’ll make this densely packed. P.S. I’m trying out a new …
TAI #115: LLM Adoption Taking Off? OpenAI API Use Up 2x in 5 Weeks, LLama at 350m Downloads.
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we saw several new LLMs released, including an upgrade to Cohere’s Command R and new Qwen2 models. Outside of LLMs, we also …
#38 Back to Basics — RAG, Transformers, ML Optimization, and LLM Evaluation.
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, the community and I are answering some recurring questions about RAG, coding assistants, transformers, machine learning, and more. You will also find fun collaboration opportunities and …
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