llama - Tech News from Simmons Systems

Tech News from Simmons Systems

llama

A collection of 35 posts

MIT Spinoff Liquid AI Debuts State-of-the-Art Non-Transformer Models

Liquid AI introduces its Liquid Foundation Models, a new line of non-transformer AI architectures that outperform comparable models from Meta and Microsoft while using significantly less memory.

Meta AI Signs First News Deal to Feature Reuters Content in Chatbot Responses

Meta partners with Reuters in a multi-year deal to provide real-time news answers in its AI chatbot. The financial terms and training data access remain undisclosed.

Sarah Silverman and Authors Sue OpenAI and Meta Over AI Training Data

Comedian Sarah Silverman and two other authors file proposed class action lawsuits against OpenAI and Meta, accusing the tech giants of using their copyrighted books to train AI models without permission.

Accidental Llama Leak Ignites Open Source Revolution in Large Language Models

Meta's Llama model leaks online and triggers a wave of impressive open source alternatives to proprietary AI systems like ChatGPT. This unexpected event shifts the balance of power in the generative AI ecosystem.

Meta's LLaMA-65B AI Model Weights Leak onto 4chan

The weight data for Meta's highly efficient LLaMA-65B language model leaks on 4chan, allowing unauthorized public downloads. High-speed downloaders quickly emerge online to distribute the AI model files.

Meta's LLaMA AI Model Leaks Online Via 4chan Torrent

Meta's restricted LLaMA language model leaks onto the internet through 4chan, allowing unauthorized public downloads. The leak includes the 7B and 65B model weights and mocks Meta's official application process.

Meta's LLAMA AI Model Leaks Online Through Torrents

Meta's LLAMA AI model spreads rapidly across torrent sites after originating from a 4chan leak. The leaker accidentally includes a personalized download script, potentially exposing their identity to the company.

Meta's LLaMA AI Model Leaks to Public Via 4chan

Facebook's proprietary large language model, LLaMA, leaks onto 4chan, marking the first time a major tech firm's private AI escapes to the public.

Meta Releases LLaMA to Democratize Large Language Model Research

Meta introduces LLaMA, a foundational large language model available in sizes ranging from 7 billion to 65 billion parameters. The release aims to make advanced AI research more accessible to researchers who lack massive computing infrastructure.

New LLaMA AI Models Rival Giants Using Only Public Data

Meta researchers introduce LLaMA, a group of open foundation language models ranging from 7 billion to 65 billion parameters. These highly efficient models match or outperform massive proprietary systems while training exclusively on publicly available datasets.

EU AI Act Enforcement Targets X and Meta as Global Standards Take Hold

The European Commission actively enforces its AI Act against major tech platforms, demanding compliance with new content labeling and copyright rules. This aggressive regulatory shift forces global companies to adopt standardized technical frameworks or risk losing access to European markets.

Meta Creates Superintelligence Labs to Catch Up in AI Race

Meta officially reorganizes its artificial intelligence division into four new groups under the newly formed Meta Superintelligence Labs. The restructuring aims to help the company better compete with rivals like OpenAI and Google DeepMind.

Meta Launches Standalone AI App to Challenge ChatGPT

Meta releases a dedicated artificial intelligence app powered by its Llama model, directly competing with ChatGPT and other leading AI assistants.

Databricks Closes $10B Equity Round and $5.25B Debt Deal

Databricks officially closes a massive $10 billion Series J funding round led by Thrive Capital and adds $5.25 billion in new debt financing. The investments feature participation from major tech and financial players like Meta Platforms and JPMorgan Chase.

AI Developers Turn to Synthetic Data as Real Training Supplies Dwindle

Major AI companies like Anthropic, Meta, and OpenAI increasingly rely on AI-generated synthetic data to train their newest models. This shift comes as the supply of high-quality human-annotated data struggles to keep up with the massive appetite of modern AI systems.