#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
A LETTER FOR YOU
A letter which describe how much u r to me
A letter saying that I miss u in every conversation I have someone. Thinking about how would have react, say. How we have laugh
A letter saying that how I plan to go on every vacations with u
A letter saying that whenever we fight.. How I check whether u r online or not every now and then
A letter confessing you that I imagine u in every love story I see I read.. N u r shaping in my romantic fanasty
A letter confessing u that u r not much to me.. U r whole of me.... U r the one whom I want everyday
A letter from my heart saying ....u r my everything and nothing together
#review#pain#PSP
A LETTER FOR YOU
A letter which describe how much u r to me
A letter saying that I miss u in every conversation I have someone. Thinking about how would have react, say. How we have laugh
A letter saying that how I plan to go on every vacations with u
A letter saying that whenever we fight.. How I check whether u r online or not every now and then
A letter confessing you that I imagine u in every love story I see I read.. N u r shaping in my romantic fanasty
A letter confessing u that u r not much to me.. U r whole of me.... U r the one whom I want everyday
A letter from my heart saying ....u r my everything and nothing together
#review#pain#PSP
#Elezioni#Singapore
Risultati definitivi:
Affluenza: 92,47% (-3,34 rispetto al 2020)
#PAP|Centro-destra secolare: 87 seggi (+4)
#WP|Centro-sinistra: 12 (+2)
#PSP|Centro progressista: 0 (-2)
Totale seggi: 97 + 2 Parlamentari non Circoscrizionali
Attuale governo (PAP): 87 seggi (✅maggioranza mantenuta✅)
Nota: I due parlamentari guadagnati dal WP sono Parlamentari non Circoscrizionali, eletti in parlamento in virtù dell'essere stati "migliori sconfitti".
@OsservatorioEsteri
Проект парковой скульптуры с Wi-Fi-сетью,
смешанная техника, арт-группа Doping Pong, 2011 год
Перед вами концепт-арт уличных скульптур, раздающих бесплатный интернет в wi-fi зонах, развернутых в парках для сетевых серферов и геймеров.
Объекты:
Classic Version 1.0
Twitter girl №1,
Twitter girl №2,
PSP boy №1,
PSP boy №2
Toy Version 2.0
Twitter dolls: Green & Orange
PSP soldiers: Green & Blue
Проект не был реализован.
#dopingpong#freewifi#sculpture#project#boy#girl#twitter#psp#unrealized
#Elezioni#Libano
99 seggi assegnati su 128:
Per coalizioni:
Alleanza dell'8 marzo (#FPM-#Amal-#Hezbollah-#Marada-#ARF-#PNO-#UP-#Baath)|Grande tenda pro-Siria: 47 seggi
Alleanza del 14 marzo (#LF-#Kataeb-#IM-#Taqaddm)|Grande tenda anti-Siria: 28
Indipendenti: 11
Altri (#PSP-#NLP-#TW-#Sabaa-#ReLebanon-#Osos): 11
@UltimoraPolitics