📌 Validating Data in a Production Pipeline: The TFX Way

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-22 | ⏱️ Read time: 10 min read

A deep dive into data validation using Tensorflow Data Validation

📌 Challenges and Solutions in Data Mesh – Part 3

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-06-21 | ⏱️ Read time: 12 min read

A practical approach to achieving interoperability in the data mesh through federated enterprise data modeling

📌 Beyond Kleinberg’s Impossibility Theorem of Clustering: A Pragmatic Clustering Evaluation Framework

🗂 Category:

🕒 Date: 2024-06-21 | ⏱️ Read time: 15 min read

This article explores a pragmatic evaluation framework for clustering under the constraint of Kleinberg’s Impossibility…

📌 Deep Learning Illustrated, Part 5: Long Short-Term Memory (LSTM)

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-21 | ⏱️ Read time: 8 min read

An illustrated and intuitive guide on the inner workings of an LSTM

📌 Entity-Resolved Knowledge Graphs

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-21 | ⏱️ Read time: 5 min read

New words. Old concepts. In the end, it’s about data fusion.

📌 Creating a Streamlit App for Satellite Imagery Visualization: A Step-by-Step Guide

🗂 Category: DATA VISUALIZATION

🕒 Date: 2024-06-21 | ⏱️ Read time: 11 min read

Explore any point on Earth at any time using satellite data with Streamlit

📌 Simplifying Support Vector Machines – A Concise Introduction into Binary Classification

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-21 | ⏱️ Read time: 7 min read

MLBasics #4: The Binary Classification King – A Journey Through Support Vector Machines

📌 Guiding an LLM’s Response to Create Structured Output

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-21 | ⏱️ Read time: 11 min read

Learn how to structure a language model’s response to ensure that the response format is…

📌 Enhancing Marketing Mix Modelling with Causal AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-21 | ⏱️ Read time: 8 min read

Causal AI, exploring the integration of causal reasoning into machine learning

📌 3 Painful Mistakes I Made as a Junior Data Scientist

🗂 Category: CAREER ADVICE

🕒 Date: 2024-06-21 | ⏱️ Read time: 6 min read

Learn from them to fast-track your career today

📌 Voyage Multilingual 2 Embedding Evaluation

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-20 | ⏱️ Read time: 11 min read

Compared to OpenAI, Cohere, Google, and E5

📌 Transforming Next-Token Prediction into Classification with LLMs

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-06-20 | ⏱️ Read time: 7 min read

From tokens to labels: Performing classification with large language models

📌 Understanding Techniques for Solving GenAI Challenges

🗂 Category:

🕒 Date: 2024-06-20 | ⏱️ Read time: 19 min read

Dive into model pre-training, fine-tuning, RAG, prompt engineering, and more!

📌 How I Created a Kaggle-Like Platform for My Students Using Streamlit and How You Can Do It as Well

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-20 | ⏱️ Read time: 29 min read

Gamify machine learning student projects with Streamlit and Google Sheets

📌 How Do Computers Actually Remember?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-20 | ⏱️ Read time: 15 min read

A Budding Data Scientist’s Introduction to Computer Hardware

📌 Why You (Currently) Do Not Need Deep Learning for Time Series Forecasting

🗂 Category: DEEP LEARNING

🕒 Date: 2024-06-20 | ⏱️ Read time: 14 min read

What you need instead: Learnings from the Makridakis M5 competitions and the 2023 Kaggle AI…

📌 Should You Join FAANG or a Startup as a Data Scientist?

🗂 Category: CAREER ADVICE

🕒 Date: 2024-06-20 | ⏱️ Read time: 11 min read

Lessons from working at Uber + Meta, a growth stage company and a tiny startup

📌 Back to Basics: Databases, SQL, and Other Data-Processing Must-Reads

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-20 | ⏱️ Read time: 3 min read

Our weekly selection of must-read Editors’ Picks and original features

🤖🧠 Thinking with Camera 2.0: A Powerful Multimodal Model for Camera-Centric Understanding and Generation

🗓️ 14 Oct 2025
📚 AI News & Trends

In the rapidly evolving field of multimodal AI, bridging gaps between vision, language and geometry is one of the frontier challenges. Traditional vision-language models excel at describing what is in an image “a cat on a sofa” “a red car on the road” but struggle to reason about how the image was captured: the camera’s ...

#MultimodalAI #CameraCentricUnderstanding #VisionLanguageModels #AIResearch #ComputerVision #GenerativeModels

🤖🧠 Granite-Speech-3.3-8B: IBM’s Next-Gen Speech-Language Model for Enterprise AI

🗓️ 14 Oct 2025
📚 AI News & Trends

In the fast-growing field of speech and language AI, IBM continues to make strides with its Granite model family , a suite of open enterprise-grade AI models that combine accuracy, safety and efficiency. The latest addition to this ecosystem, Granite-Speech-3.3-8B marks a significant milestone in automatic speech recognition (ASR) and speech translation (AST) technology. Released ...

#SpeechAI #LanguageModel #EnterpriseAI #ASR #SpeechTranslation #GraniteModel

🤖🧠 LLaMAX2 by Nanjing University, HKU, CMU & Shanghai AI Lab: A Breakthrough in Translation-Enhanced Reasoning Models

🗓️ 14 Oct 2025
📚 AI News & Trends

The world of large language models (LLMs) has evolved rapidly, producing advanced systems capable of reasoning, problem-solving, and creative text generation. However, a persistent challenge has been balancing translation quality with reasoning ability. Most translation-enhanced models excel in linguistic diversity but falter in logical reasoning or coding tasks. Addressing this crucial gap, the research paper ...

#LLaMAX2 #TranslationEnhanced #ReasoningModels #LargeLanguageModels #NanjingUniversity #HKU