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: #ftcruling

当前筛选 #ftcruling清除筛选
AI & Law

@ai_and_law · Post #408 · 10/01/2024, 07:04 AM

FTC Takes Action Against DoNotPay Over Misleading AI Lawyer Claims The Federal Trade Commission (FTC) has initiated action against DoNotPay, which claimed to offer "the world’s first robot lawyer." Despite bold promises to revolutionize legal services, DoNotPay failed to match the expertise of human lawyers. The FTC alleges that the company’s AI service could not generate valid legal documents or substitute for professional legal counsel, as claimed. The proposed settlement requires DoNotPay to pay $193,000 and prohibits misleading claims about AI capabilities without supporting evidence. This case serves as a reminder that AI-based services must be held to the same rigorous standards as professional industries. #AIRegulation#LegalTech#AIEthics#FTCRuling#ConsumerProtection