#other#agent#llm#rag
Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research.
https://github.com/datawhalechina/happy-llm
🔈Most Common Smart Speaker Usage
People are doing plenty of things with voice commands on their #SmartSpeakers, but shopping isn’t really one of them. Only about a quarter to a third of U.S. smart speaker owners have ever purchased something using voice. Very few do so on a regular basis. An Information article this summer said just 2 percent of #Alexa owners had made a purchase via Alexa in 2018.
🚀@PerspectiveIX via Recode.
❓Do you own a Smart Speaker, like Apple HomePod, Google Home, Amazon Echo, etc?
🗣The State of Chinese Voice Assistants
China is the second-largest consumer market in the world, hitting $4.3T in consumer expenditure in 2016 alone (for reference, the US ranked first with $12.5T, and Japan third with $2.7T).
The Chinese smart home market will reach nearly $23B in 2018, according to Juniper Research. #SmartSpeakers and #AI voice assistants are becoming an integral part of that.
Now that smart speakers are becoming commonplace, the early entrant, #Amazon, is losing its market share — and not just to its rival #Google, but to newer players emerging in China.
🚀@PerspectiveIX via CBInsights.
❓ Do you own a smart speaker?