🤖🧠 Build a Large Language Model From Scratch: A Step-by-Step Guide to Understanding and Creating LLMs

🗓️ 08 Oct 2025
📚 AI News & Trends

In recent years, Large Language Models (LLMs) have revolutionized the world of Artificial Intelligence (AI). From ChatGPT and Claude to Llama and Mistral, these models power the conversational systems, copilots, and generative tools that dominate today’s AI landscape. However, for most developers and learners, the inner workings of these systems remain a mystery until now. ...

#LargeLanguageModels #LLM #ArtificialIntelligence #DeepLearning #MachineLearning #AIGuides

📌 How to Manipulate the Total in Power BI

🗂 Category:

🕒 Date: 2024-07-16 | ⏱️ Read time: 8 min read

In most cases, the total aggregates the detail rows in a visual. But what if…

📌 The LLM Triangle Principles to Architect Reliable AI Apps

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-16 | ⏱️ Read time: 19 min read

Software design principles for thoughtfully designing reliable, high-performing LLM applications

📌 Hacking “Codenames” with GloVe Embeddings

🗂 Category: NATURAL LANGUAGE PROCESSING

🕒 Date: 2024-07-16 | ⏱️ Read time: 7 min read

Using a GloVe embedding-based algorithm to achieve 100% accuracy on the popular party game “Codenames”

📌 Topic Modeling Open-Source Research with the OpenAlex API

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-15 | ⏱️ Read time: 10 min read

An overview of topic modeling global research through the OpenAlex API and visualizing results

🤖🧠 OpenAI’s AgentKit: Transforming How Developers Build and Deploy AI Agents

🗓️ 08 Oct 2025
📚 AI News & Trends

OpenAI continues to redefine the frontiers of artificial intelligence with the introduction of AgentKit a powerful all-in-one toolkit designed to simplify and accelerate how developers build and deploy AI agents. Unveiled during OpenAI’s Dev Day on October 6, 2025, AgentKit marks a transformative leap in agentic AI technology giving developers and organizations the ability to ...

#OpenAI #AgentKit #AIAgents #ArtificialIntelligence #DeveloperTools #AIInnovation

📌 PyEnv & Poetry Tutorial: Ultimate Data Science Setup

🗂 Category: CODING

🕒 Date: 2024-07-15 | ⏱️ Read time: 8 min read

How to use PyEnv and Poetry together for your environment and package management for data…

📌 PySpark Explained: User-Defined Functions

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-07-15 | ⏱️ Read time: 10 min read

What are they, and how do you use them?

📌 VerifAI Project: Open Source Biomedical Question Answering with Verified Answers

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-07-15 | ⏱️ Read time: 14 min read

Experiences from building LLM-based (Mistral 7B) biomedical question-answering system with hallucination detection method

📌 Your 15-Minute Guide on Using Causal Inference in Business (with Placebo Tests)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-15 | ⏱️ Read time: 22 min read

“Correlation does not mean causation.” So let’s calculate causation.

🤖🧠 Ling-1T by inclusionAI: The Future of Smarter, Faster and More Efficient AI Models

🗓️ 09 Oct 2025
📚 AI News & Trends

Artificial Intelligence is evolving at lightning speed and inclusionAI’s Ling-1T is one of the most exciting innovations leading the charge. Built on the advanced Ling 2.0 architecture, Ling-1T is a trillion-parameter model designed to combine incredible reasoning power, speed and scalability in one open-source system. Image Source : Hugging Face Unlike many AI models that ...

#Ling1T #inclusionAI #ArtificialIntelligence #OpenSourceAI #LargeLanguageModels #AIArchitecture

📌 A Sanity Check on ‘Emergent Properties’ in Large Language Models

🗂 Category: DEEP LEARNING

🕒 Date: 2024-07-15 | ⏱️ Read time: 14 min read

LLMs are often said to have ’emergent properties’. But what do we even mean by…

📌 Sampling from Multivariate Distributions: From Statistical to Generative Modeling

🗂 Category:

🕒 Date: 2024-07-15 | ⏱️ Read time: 9 min read

Bridging classic statistical methods and cutting-edge generative AI models for sampling from multivariate distributions.

📌 Advanced Retrieval Techniques in a World of 2M Token Context Windows Part 1

🗂 Category:

🕒 Date: 2024-07-15 | ⏱️ Read time: 7 min read

Exploring RAG techniques to improve retrieval

📌 Chaining Pandas Operations: Strengths and Limitations

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-15 | ⏱️ Read time: 20 min read

Learn when it’s worth chaining Pandas operations in pipes.

📌 LLM Agents Demystified

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-14 | ⏱️ Read time: 16 min read

Hands-on ReAct agent implementation with AdalFlow library

🤖🧠 PyMuPDF: The Ultimate Python Library for High-Performance PDF Processing

🗓️ 09 Oct 2025
📚 AI News & Trends

If you’re a Python developer working with PDF documents whether it’s for text extraction, data analysis conversion or annotation then you’ve likely encountered the limitations of traditional tools. That’s where PyMuPDF also known as fitz, shines. It’s a lightweight, high-performance Python library that enables comprehensive PDF manipulation with minimal dependencies and maximum flexibility. In this ...

#PyMuPDF #PythonLibrary #PDFProcessing #TextExtraction #DataAnalysis #HighPerformance

📌 Three reasons why developers should use DuckDB

🗂 Category: SQL

🕒 Date: 2024-07-14 | ⏱️ Read time: 5 min read

Developers often have to analyse data, e.g. assessing the impact of an outage. DuckDB is…

📌 Essential Considerations for Implementing Machine Learning

🗂 Category: DATA SCIENCE

🕒 Date: 2024-07-13 | ⏱️ Read time: 8 min read

Is your use case a viable ML product from a traditional ML and production perspective?

📌 Reinforcement Learning, Part 5: Temporal-Difference Learning

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-13 | ⏱️ Read time: 18 min read

Intelligently synergizing dynamic programming and Monte Carlo algorithms

📌 Why It Feels Impossible to Get a Data Science Job

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-07-13 | ⏱️ Read time: 10 min read

Reasons why the market is tough and what you can do about it