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 #573 for Monday, May 20, 2024's essential reads and reflections

Read

  1. TRANSMI: A Machine Learning Framework to Create Baseline Models Adapted for Transliterated Data from Existing Multilingual Pretrained Language Models mPLMs without Any Training
  2. Deep Dive on Accumulated Local Effect Plots (ALEs) with Python
  3. CinePile: A Novel Dataset and Benchmark Specifically Designed for Authentic Long-Form Video Understanding
  4. ContextQ: Generated Questions to Support Meaningful Parent-Child Dialogue While Co-Reading
  5. Automatic Creative Selection with Cross-Modal Matching
  6. Turning your relational database into a graph database
  7. ALPINE: Autoregressive Learning for Planning in Networks
  8. Here’s How Gemini for Gmail Can Transform Your Inbox
  9. Synthflow AI: The Ultimate Tool for Automating Your Business Calls
  10. Yes, you still need old-school NLP skills in “the age of ChatGPT”
  11. The Two Documents Every Data Scientist Must Write Before Taking Interviews
  12. A Complete Guide to BERT with Code
  13. Generating Map Tiles with Rust
  14. How to Setup a Multi-GPU Linux Machine for Deep Learning in 2024
  15. This AI Paper from Huawei Introduces a Theoretical Framework Focused on the Memorization Process and Performance Dynamics of Transformer-based Language Models (LMs)
  16. Top 10 YouTube Channels to Master Python
  17. Google AI Described New Machine Learning Methods for Generating Differentially Private Synthetic Data
  18. Planning Architectures for Autonomous Robotics
  19. This AI Paper from Stanford University Evaluates the Performance of Multimodal Foundation Models Scaling from Few-Shot to Many-Shot-In-Context Learning ICL
  20. Researchers from Columbia University and Databricks Conducted a Comparative Study of LoRA and Full Finetuning in Large Language Models
  21. Machine Learning Revolutionizes Path Loss Modeling with Simplified Features
  22. This AI Paper Introduces Rational Transfer Function: Advancing Sequence Modeling with FFT Techniques
  23. Enhancing Graph Classification with Edge-Node Attention-based Differentiable Pooling and Multi-Distance Graph Neural Networks GNNs
  24. Keras 3.0 Tutorial: End-to-End Deep Learning Project Guide
  25. The Physics Behind Data
  26. Decoding Time: Unraveling the Power of LSTM vs. N-BEATS for Accurate Time Series Forecasting
  27. Are GPTs Good Embedding Models
  28. 01.AI Introduces Yi-1.5-34B Model: An Upgraded Version of Yi with a High-Quality Corpus of 500B Tokens and Fine-Tuned on 3M Diverse Fine-Tuning Samples
  29. GPT-4 vs. GPT-4o: Key Updates and Comparative Analysis
  30. Model Explorer: A Powerful Graph Visualization Tool that Helps One Understand, Debug, and Optimize Machine Learning Models
  31. Exploring Data Mapping as a Search Problem
  32. The Pursuit of the Platonic Representation: AI’s Quest for a Unified Model of Reality
  33. Meta AI Introduces Chameleon: A New Family of Early-Fusion Token-based Foundation Models that Set a New Bar for Multimodal Machine Learning
  34. Please Make this AI Less Accurate
  35. Common Causes of Data Leakage and how to Spot Them
  36. Researchers from Cerebras & Neural Magic Introduce Sparse Llama: The First Production LLM based on Llama at 70% Sparsity
  37. This AI Research from Google DeepMind Explores the Performance Gap between Online and Offline Methods for AI Alignment
  38. SpeechVerse: A Multimodal AI Framework that Enables LLMs to Follow Natural Language Instructions for Performing Diverse Speech-Processing Tasks
  39. GPT-4o’s Chinese token-training data is polluted by spam and porn websites
  40. Mixtral 8x22B is now available in Amazon SageMaker JumpStart
  41. Building Generative AI prompt chaining workflows with human in the loop
  42. Mastering Python: 7 Strategies for Writing Clear, Organized, and Efficient Code
  43. Introducing the Frontier Safety Framework
  44. 6 Free Courses on MLOps Offered by Google
  45. Short and Fun Courses to Get You Up to Speed About Generative AI
  46. Top AI Tools for Real Estate Agents
  47. 6 Free University Courses to Learn Machine Learning
  48. Transforming PDF Images into Interactive Dialogues with AI
  49. NuMind Releases Three SOTA NER Models that Outperform SimilarSized Foundation Models in the Fewshot Regime and Competing with Much Larger LLMs
  50. Phidata: An AI Framework for Building Autonomous Assistants with LongTerm Memory Contextual Knowledge and the Ability to Take Actions Using Function Calling
  51. AgentClinic: Simulating Clinical Environments for Assessing Language Models in Healthcare
  52. SequencetoSequence Models for Language Translation
  53. 8 Wild Demos of Googles AI Agents
  54. Consistency Large Language Models CLLMs: A New Family of LLMs Specialized for the Jacobi Decoding Method for Latency Reduction
  55. 12 Best AI Travel Planner Tools for Your Next Trip
  56. This AI Paper by Toyota Research Institute Introduces SUPRA: Enhancing Transformer Efficiency with Recurrent Neural Networks
  57. The Proof of Learning in Machine Learning/AI
  58. Feature Engineering for Machine Learning
  59. Backpropagation Through Time — How RNNs Learn
  60. How to Evaluate Your Predictions
  61. No Label Left Behind: Alternative Encodings for Hierarchical Categoricals
  62. Building a Medical Assistant using Gemini Pro vision
  63. I built a reusable dashboard for Read the Docs traffic analytics using Vizro
  64. Create an Interactive Map to Display Time Series of Satellite Imagery
  65. The Importance of Collaboration in Data
  66. Best Practices for AIML Product UX
  67. Unlocking Valuable Data and Model Insights with Python Packages Yellowbrick and PiML with Code
  68. TIGERLab Introduces MMLUPro Dataset for Comprehensive Benchmarking of Large Language Models Capabilities and Performance
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Watch

  1. "Deflated" Behind the Scenes · shy kids

Listen

  1. #167 - GPT-4o, Project Astra, Veo, OpenAI Departures, Interview with Andrey
  2. Cognilytica’s AI-Enabled Vision of the Future: The AI-Enhanced Organization [AI Today Podcast]