The AiEdge Newsletter
“The AiEdge Newsletter” provides insights into cutting-edge AI applications at the intersection of edge computing and artificial intelligence. It delves into topics like data augmentation for machine learning, Python programming for web3 and blockchain, and the importance of short-term memory in AI applications. The newsletter explores the challenges of enterprise RAG implementations and the need for intelligent systems that go beyond simple data retrieval. With a focus on practical tools and techniques, it offers a comprehensive guide to leveraging AI technologies for real-world applications. Stay informed about the latest advancements in AI and edge computing with “The AiEdge Newsletter.”
Four Retrieval Techniques for Video Search
Why frame rate, change detection, temporal hierarchy, and targeted rewatching fail in different ways
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Deep Dive: How AI Text Watermarks Work
How a language model leaves a detectable pattern in its word choices, and why copying the text preserves it.
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Deep Dive: How Speculative Decoding Makes LLMs Faster
How a smaller model helps a larger model generate text faster without changing its output distribution.
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AI Digest: Model Validation, Agents, and Generative AI
Seven visual lessons on testing models, recovering tool calls, speeding up text generation, detecting watermarks, and checking image and document outputs.
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AdalFlow: A PyTorch-Like Framework to Auto-Optimizing Prompt for your LLM agent
AI Agent frameworks are becoming just as important as model training itself!
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Last Week to Register: Build Production-Ready Agentic-RAG Applications From Scratch Course!
Project-Based Course
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Build Production-Ready Agentic-RAG Applications From Scratch Course: What we are going to build
On Saturday, September 27th, I am launching a new course: Build Production-Ready Agentic-RAG Applications From Scratch! This is a fully hands-on course where we are going to deploy a production-ready ...
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New Course: Build Production-Ready Agentic-RAG Applications From Scratch
End-to-end: orchestrate and deploy agentic Retrieval-Augmented Generation with LangGraph, FastAPI, and React frontend in 2 weeks.
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Mixture-of-Experts: Early Sparse MoE Prototypes in LLMs
Mixture-of-Experts might be one of the most important improvements in the Transformer architecture!
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Last Week to Register to the Build Production-Ready LLMs From Scratch Course!
From Prototype to Production: Ship Scalable LLM Systems in 6 Weeks
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Build Production-Ready LLMs From Scratch Starting on July 12th!
From Prototype to Production: Ship Scalable LLM Systems in 6 Weeks
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Last Week to Register to the Build Production-Ready LLMs From Scratch Course!
From Prototype to Production: Ship Scalable LLM Systems in 6 Weeks
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