TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #14845 · Jun 20

#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

Results

1 similar post found

Search: #affectlabeling

当前筛选 #affectlabeling清除筛选
Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40887 · 04/01/2026, 08:37 AM

Putting feelings into words can help your brain process them. Saying “I feel angry,” “I feel hungry,” or “I feel love” lowers activity in the amygdala, which reacts strongly to emotions. At the same time, the right ventrolateral prefrontal cortex becomes more active. These brain areas work together, helping the brain manage all types of feelings more clearly. 🧠🗣️💭 [Read more] @googlefactss #BrainFacts#Emotions#AffectLabeling#Neuroscience#MentalHealth