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Apple has gone on a hiring spree to expand its AI and machine learning operations, recruiting at least three dozen specialists from Google.

Apple discussed its large language model (LLM) Reference Resolution As Language Modeling (ReALM) and how it can “substantially outperform” OpenAIs GPT-4. Apple said that while LLMs are extremely powerful for a variety of tasks, their use in reference resolution, particularly for non-conversational entities, remains underutilised.

Forum discussion: Snark in title courtesy of and credit to TheRegister :D :D https://www.theregister.com/2024/03/11/authors_file_lawsuit_to_torpedo/quote:Nvidia is the latest tech giant to face allegations that it used copyrighted works

Discussions: Hacker News (64 points, 3 comments), Reddit r/MachineLearning (219 points, 18 comments) Translations: Simplified Chinese, French, Korean, Russian, Turkish This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays that exceed what we anticipated current language models are able to produce. The GPT-2 wasn’t a particularly novel architecture – it’s architecture is very similar to the decoder-only transformer. The GPT2 was, however, a very large, transformer-based language model tra...

I frequently reference a process called Reinforcement Learning with Human Feedback (RLHF) when discussing LLMs, whether in the research news or tutorials. RLHF is an integral part of the modern LLM training pipeline due to its ability to incorporate human preferences into the optimization landscape, which can improve the model's helpfulness and safety.