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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
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@samseminara · Post #984 · 02/16/2022, 07:53 PM
#Italia L'intervista completa a Lorenzo #Vignali (#FdI|ECR). Se vuoi supportare il nostro lavoro, offrici un caffè: https://ko-fi.com/ultimorapolitics @UltimoraPolitics
@ultimoraPOLITICS · Post #39726 · 05/24/2022, 12:47 PM
#Sondaggi#Italia#Amministrative#EmiliaRomagna#Parma Sondaggio di BiDiMedia: Michele #Guerra (Effetto Parma/#IiC-#PD-Onda-#Coraggiosa-#IV-#PSI-#CD): 40% (-1) Pietro #Vignali (#Lega-#FI-#PdF-#NcI): 29% (-9) Priamo #Bocchi (#FdI): 9% (+9) Dario #Costi (Civiltà Parmigiana-#Azione): 7% (+1) Enrico #Ottolini (#EV): 3% (-0,5) Roberta #Roberti (Parma Città Pubblica): 3% (-1) Giampaolo #Lavagetto (Per Parma 2032): 3% Michela #Canova (Parma Democratica): 2% Andrea #Bui (#PaP-#PRC-#PCI): 1% Luca #Galardi (#M3V): 1% (+1) Marco #Adorni (#AncoraItalia-#Alternativa-#IoApro-#Rinascimento-#RQI-#PC-#ItaliaUnita): 1% Gaetano #Vilnò (#ItalExit): 1% Data rilevazione: 14-19 maggio +/-: 31 marzo-3 aprile Intervistati: 870 @UltimoraPolitics24