#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
#RAD/USDT analysis :
#RAD is currently experiencing a bearish trend, trading below the 200 EMA. The price is forming lower lows (LLs) and lower highs (LHs).
At present, it is testing the resistance zone along with the 200 EMA. A reversal is anticipated from this level, allowing the price to resume its bearish momentum and potentially test lower levels.
TF : 1H
Entry : $0.840
Target : $0.779
SL : $0.875
#RAD/USDT analysis :
#RAD has broken out and retested the previous support levels. It is expected to reject from the current level and test lower levels.
TF : 1h
Entry : $1.209
Target : $1.127
SL : $1.268