#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer
You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4].
https://github.com/rasbt/LLMs-from-scratch
🔈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?