TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15432 · Jan 23

#jupyter_notebook#chinese_llm#chinese_nlp#finetune#generative_ai#instruct_gpt#instruction_set#llama#llm#lora#open_models#open_source#open_source_models#qlora AirLLM is a tool that lets you run very large AI models on computers with limited memory by using a smart layer-by-layer loading technique instead of traditional compression methods. You can run a 70-billion-parameter model on just 4GB of GPU memory, or even a 405-billion-parameter model on 8GB, without losing model quality. The benefit is that you can use powerful AI models on affordable hardware without expensive upgrades, and the tool also offers optional compression features that can speed up performance by up to 3 times while maintaining accuracy. https://github.com/lyogavin/airllm

Results

1 similar post found

Search: #contentlabelling

当前筛选 #contentlabelling清除筛选
AI & Law

@ai_and_law · Post #782 · 03/11/2026, 07:04 AM

🇪🇺European Commission Releases Second Draft of AI Content Labelling Code The European Commission has published the second draft of a voluntary Code of Practice intended to help providers and deployers comply with transparency obligations under Article 50 of the AI Act. The article requires marking and labelling of AI-generated content. The updated draft reflects feedback collected in January 2026 from hundreds of stakeholders across industry, academia, and civil society, as well as input from EU Member States and representatives of the European Parliament. The revised code is designed to reduce compliance burden while promoting open standards and the use of a common EU icon for AI-generated content. It is structured in two sections: the first addresses marking and detection obligations for generative AI system providers, introducing greater flexibility and clearer guidance; the second focuses on deployers, covering labelling of deepfakes and AI-generated text related to matters of public interest with a more practice-oriented approach. Public feedback on the draft is open until 30 March 2026. The final version of the code is expected by early June 2026, while the transparency obligations under Article 50 of the AI Act will become applicable on 2 August 2026. #AIAct#AIRegulation#AIGovernance#Transparency#Deepfakes#ContentLabelling#EUlaw