This rubric covers articles that focus primarily on Python code, the Python language, or libraries that are primarily within the Python sphere, such as Pandas or Numpy.
In this article, I share my latest Gen AI and LLM advances, featuring innovative approaches radically different from both standard AI and classical ML/NLP. The… Read More »LLM 2.0, RAG & Non-Standard Gen AI on GitHub
Introduction Sentiment analysis, also known as opinion mining, is a powerful concept in the Natural Language Processing (NLP) technique that interprets and classifies emotions expressed… Read More »Sentiment analysis at scale: Applying NLP to multi-lingual and domain-specific texts
Feature Selection is a crucial process in feature engineering as part of the Machine Learning life cycle. It focuses on identifying the most impactful features in… Read More »Techniques for automated feature selection: Filter methods and implementation using Python libraries
It is becoming a bit difficult to follow all the new AI, RAG and LLM terminology, with new concepts popping up almost every week. Which… Read More »LLM Chunking, Indexing, Scoring and Agents, in a Nutshell
This book features new advances in game-changing AI and LLM technologies built by GenAItechLab.com. Written in simple English, it is best suited for engineers, developers,… Read More »New Book: Building Disruptive AI & LLM Technology from Scratch
There are multiple scenarios where you’d need to get the text contained in a picture. For example, when you see a detailed infographic or a… Read More »Python tips: Turn images into text effectively
Machine learning algorithms power predictive modeling and data analysis. Linear regression, decision trees, and k-nearest neighbors enable limitless possibilities. This article explores their principles and… Read More »Exploring foundational machine learning algorithms: Linear regression, decision trees, and K-nearest neighbors
Interview with Kwaai’s Toby Morning and Karsten Wade In the latest episode of the AI Think Tank podcast, I had the privilege of hosting Toby Morning and Karsten Wade from Kwaai.… Read More »A Look at Kwaai’s Personal AI OS
With 23 top projects, 96 subprojects, and 6000 lines of Python code, this vendor-neutral coursebook is a goldmine for any analytic professional or AI/ML engineer… Read More »New Book: State of the Art in GenAI & LLMs — Creative Projects, with Solutions
For our 4th episode of the AI Think Tank Podcast, we explored cybersecurity and artificial intelligence with the insights of Tim Rohrbaugh, an expert whose career has traversed the Navy to the forefront of commercial cybersecurity. The discussion focused on the strategic deployment of AI in cybersecurity, highlighting the use of open-source models and the benefits of local deployment to secure data effectively.
