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#llama

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Judge in #Meta case warns #AI could 'obliterate' market for original works

A skeptical federal judge in SF on Thurs questioned Meta Platforms' argument that it can legally use copyrighted works without permission to train its #ArtificialIntelligence models.
In the 1st court hearing on a key question for the AI industry, Judge Vince Chhabria grilled attys for both sides over Meta's request for a ruling that it made #FairUse of books to train its #LLaMa #LLM.
#law
reuters.com/legal/litigation/j

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#Meta told Chhabria in March that it used the #authors' material “transformatively”, to teach #LLaMa to "serve as a personal tutor on nearly any subject, assist with creative ideation, & help users to generate business reports, translate conversations, analyze data, write code, & compose poems or letters to friends."

"What it does not do is replicate Plaintiffs' books or substitute for reading them," Meta said.

#law#tech#AI
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The #FairUse question hangs over lawsuits brought by #authors, #news outlets & other #copyright owners against companies including #Meta, #OpenAI & #Anthropic. The #legal doctrine allows for the use of copyrighted work without the copyright owner's permission under some circumstances.

The authors in the Meta case sued in 2023, arguing the company used pirated versions of their books to train #LLaMa without permission or compensation.

#law#tech#AI

Judge in #Meta case weighs key question for #AI #copyright lawsuits

A federal judge in SF will hear arguments on Thurs from Meta & a group of #authors in the 1st court hearing over a pivotal question in high-stakes copyright cases over #AItraining.

Judge Vince Chhabria will consider Meta's request for a pretrial ruling that it made "#FairUse" of books from writers including Junot Diaz & comedian Sarah Silverman to train its #LLaMa #LLM.

#law #tech #IntellectualProperty
reuters.com/legal/litigation/j

Proof-of-concept project, showing that it's possible to run an entire Large Language Model in nothing but a #PDF file.

It uses #Emscripten to compile #llama.cpp into asm.js, which can then be run in the PDF using an old PDF JS injection.

Combined with embedding the entire #LLM file into the PDF with base64, we are able to run LLM inference in nothing but a PDF

github.com/EvanZhouDev/llm.pdf

GitHubGitHub - EvanZhouDev/llm.pdf: Run LLMs inside a PDF file.Run LLMs inside a PDF file. Contribute to EvanZhouDev/llm.pdf development by creating an account on GitHub.