TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #14909 · Jul 3

#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

Results

3 similar posts found

Search: #abbott

当前筛选 #abbott清除筛选
Paintings Place

@paintingsplace · Post #3881 · 04/04/2023, 03:18 PM

An Italianate landscape, c. 1800 by John White #Abbott🇬🇧 Oil on canvas, 42.2cm x 61cm Yale Center for British Art, Connecticut, USA Original file 🆔@paintingsplace

Hashtags

America 🇺🇸 News & Politics

@America · Post #10322 · 03/03/2026, 03:52 AM

🚧🇺🇸 TEXAS WINS COURT BATTLE TO KEEP RIO GRANDE BUOY BARRIER 🔹 5th Circuit Court rules Texas can KEEP its controversial floating border barrier ⚖️ 🔹 Governor Abbott and AG Ken Paxton celebrate "major victory" against Biden admin 🎉 🔹 50k barrier stretches 1,000 feet near Eagle Pass to block illegal crossings 🛑 The legal war continues, but for now, the buoys stay in the water. Is this effective border security or a humanitarian hazard? 🌊🤔 #USNews#immigration#Texas#border#Abbott @america

Ultimora.net - POLITICS

@ultimoraPOLITICS · Post #39553 · 05/16/2022, 06:00 PM

#Sondaggi#USA#Governative#Texas Sondaggio di UTT: Greg #Abbott (#R|ECR): 46% (+1) Beto #ORourke (#D|Centro-sinistra): 39% (+1) Delilah #Barrios (#GPUS|Verdi): 3% (+3) Mark Jay #Tippetts (#LP|Libertari): 3% (+3) Qualcun altro: 8% (-8) Non lo so: 2% (+1) Data rilevazione: 2-10 maggio +/-: 8-15 febbraio Intervistati: 1232 @UltimoraPolitics