Insights
Artificial Intelligence

Dive into the world of AI with expert insights on machine learning, automation, and emerging technologies. Discover how AI is shaping industries and transforming businesses.

Past Edition

Dive back into Artificial Intelligence Edition #670 for Wednesday, October 2, 2024's essential reads and reflections

Read

  1. Mastering Data Visualization: Practical Tips You Need To Know
  2. Why Your Service Engineers Need a Chatbot: Future of Troubleshooting
  3. Google’s SigLIP: A Significant Momentum in CLIP’s Framework
  4. Self-Training on Image Comprehension (STIC): A Novel Self-Training Approach Designed to Enhance the Image Comprehension Capabilities of Large Vision Language Models (LVLMs)
  5. Evaluating performance of LLM-based Applications
  6. How to Calculate a Moving Average Over Multiple Periods in DAX
  7. Expectedly Unexpected: The Mathematical Art of Measuring Surprise
  8. Finding My AI Coding Assistant: Why Codeium Wins Over Copilot
  9. Could Conversational AI-Driven Data Analytics Finally Solve the Data Democratization Riddle?
  10. SQL: Mastering Data Engineering Essentials (Part II)
  11. AWS recognized as a first-time Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
  12. Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock
  13. Top 8 Applications of RAGs in Workplaces
  14. Statistical Analysis on Scoring Bias
  15. Q&A: A new initiative to help strengthen democracy
  16. Beyond the Hype: When Generative AI Isn’t Always the Answer
  17. P-Companion: Amazon’s Principled Framework for Diversified Complementary Product Recommendation
  18. Under-trained and Unused tokens in Large Language Models
  19. Getting Started with Llamafactory: Installation and Setup Guide
  20. Maintain access and consider alternatives for Amazon Monitron
  21. Stronger together: miniature robots in convoy for endoscopic surgery
  22. Graph Neural Networks Part 1. Graph Convolutional Networks Explained
  23. Five Engineering Skills Every Data Scientist Should Learn
  24. My 7 Sources of Income as a Data Scientist
  25. Journey of an unlikely entrepreneur
  26. Google Releases FRAMES: A Comprehensive Evaluation Dataset Designed to Test Retrieval-Augmented Generation (RAG) Applications on Factuality, Retrieval Accuracy, and Reasoning
  27. Do We Really Need More Complex Models?
  28. NotebookLM Introduces Audio and YouTube Integration, Enhances Audio Overview Sharing
  29. ‘bge-en-icl’: A Novel AI Model that Employs Few-Shot Examples to Produce High-Quality Text Embeddings
  30. 3 Ways to Run Llama 3.2 on Your Device
  31. Understanding SQL WHERE Clause
  32. What I Learned in my First 9 Months as a Freelance Data Scientist
  33. Ten Effective Strategies to Lower Large Language Model (LLM) Inference Costs
  34. Using Llama 3.2 Locally
  35. RanDumb: A Simple Yet Powerful AI Approach to Exemplar-Free Continual Learning
  36. Support Vector Classifier, Explained: A Visual Guide with Mini 2D Dataset
  37. This AI Paper from Google Unveils How Bayesian Neural Fields Revolutionize Spatiotemporal Forecasting for Large Datasets
  38. BioMed-VITAL: A Clinician-Aligned AI Framework for Biomedical Visual Instruction Tuning
  39. Why bigger is not always better in AI 
  40. The coolest thing about smart glasses is not the AR. It’s the AI.
  41. This AI Paper from KAIST AI Introduces a Novel Approach to Improving LLM Inference Efficiency in Multilingual Settings
  42. Model Collapse in the Synthetic Data Era: Analytical Insights and Mitigation Strategies
  43. Chunking Techniques for Retrieval-Augmented Generation (RAG): A Comprehensive Guide to Optimizing Text Segmentation
  44. Researchers from China Introduce INT-FlashAttention: INT8 Quantization Architecture Compatible with FlashAttention Improving the Inference Speed of FlashAttention on Ampere GPUs
  45. AI simulation gives people a glimpse of their potential future self
  46. Service Looking to hire a Fractional Website Manager? Book a call today to explore how we can elevate your website's success!
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  1. Can Claude 3.5 build production-quality apps without us having to write code? Felipe Aguirre tried doing just that!
  2. Developing AI ‘Behind the Curtain’ for Financial Services - with Nate Bell of Wells Fargo