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 #664 for Tuesday, September 24, 2024's essential reads and reflections

Read

  1. CALM: Credit Assignment with Language Models for Automated Reward Shaping in Reinforcement Learning
  2. How to Evaluate RAG If You Don’t Have Ground Truth Data
  3. Speculative Streaming: Fast LLM Inference Without Auxiliary Models
  4. Enhancing Just Walk Out technology with multi-modal AI
  5. Trust-Align: An AI Framework for Improving the Trustworthiness of Retrieval-Augmented Generation in Large Language Models
  6. Accelerating particle size distribution estimation
  7. Run and Serve Faster VLMs Like Pixtral and Phi-3.5 Vision with vLLM
  8. Four Ways to Credit a Source in a Chart
  9. Generate synthetic data for evaluating RAG systems using Amazon Bedrock
  10. Making traffic lights more efficient with Amazon Rekognition
  11. Semantic Layer for The People and by the People
  12. Using Generative AI to Automatically Create a Video Talk from an Article
  13. Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio
  14. Govern generative AI in the enterprise with Amazon SageMaker Canvas
  15. Transforming home ownership with Amazon Transcribe Call Analytics, Amazon Comprehend, and Amazon Bedrock: Rocket Mortgage’s journey with AWS
  16. Graph RAG into Production — step-by-step
  17. Breaking It Down : Chunking Techniques for Better RAG
  18. Programming an Arduino with CrewAI Agents
  19. Spiking Network Optimization Using Population Statistics (SNOPS): A Machine Learning-Driven Framework that can Quickly and Accurately Customize Models that Reproduce Activity to Mimic What’s Observed in the Brain
  20. Embeddings Are Kind of Shallow
  21. Free Courses That Are Actually Free: Google Cloud Edition
  22. How to Use R for Data Transformation with dplyr
  23. New updates to help you do more with Google TV
  24. LLMs on Mobile: Present and Future Possibilities
  25. Automating Data Quality Checks with Dagster and Great Expectations
  26. CLIP VIT-L14: OpenAI’s Multimodal Marvel for Zero-Shot Image Classification
  27. Mistral Large 2 vs Claude 3.5 Sonnet: Performance, Accuracy, and Efficiency
  28. Memory and Hybrid Search in RAG using LlamaIndex
  29. Enhancing Large Language Models with Diverse Instruction Data: A Clustering and Iterative Refinement Approach
  30. How to Train a Speech Recognition Model with Wav2Vec 2.0 and Hugging Face Transformers
  31. Diffusion Reuse MOtion (Dr. Mo): A Diffusion Model for Efficient Video Generation with Motion Reuse
  32. Vista3D: A Novel AI Framework for Rapid and Detailed 3D Object Generation from a Single Image Using Diffusion Priors
  33. How to Calculate Eigenvalues and Eigenvectors with NumPy
  34. MAGICORE: An AI Framework for Multi Agent Iteration for Coarse-to-fine Refinement
  35. How to Build Multi-Agent System with CrewAI and Ollama?
  36. Building Multi-Agentic System with CrewAI and Ollama
  37. DCMAC: Demand-Aware Customized Communication for Efficient Multi-Agent Reinforcement Learning
  38. Can Cellular Automata Be Predicted Without Knowing the Grid? This AI Paper from MIT Unveils LifeGPT: A Topology-Agnostic Transformer Model for Cellular Automata
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Watch

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Listen

  1. E533 Yaniv Shimoni, Co-Founder at Take2 AI
  2. Driving Edge AI with the Future of Data Storage - with Raul Martynek of Databank