Gemini

Apple

Opus

Even though Apple seems like a latecomer to the Large Language Model (LLM) arena, the popular technology company has released MM1 to compete with some of the early AI adopters like <a href="https://coingape.com/openais-market-position-vulnerable-to-intensifying-competition/">OpenAI</a> and Google.&nbsp; 
<h2 id="strong-apple-mm1-capabilities-strong">Apple MM1 Capabilities</h2> 
Apple MM1 was recently introduced in a preprint research paper titled “MM1: Methods, Analysis &amp; Insights from Multimodal LLM Pre-training” by the Apple developer team. The new AI tool offers a system of utilizing AI-generated data and labels to boost the training of other LLMs. Apple researchers believe that this is a way to retrieve state-of-the-art results.&nbsp; 
Precisely, the research was aimed at demonstrating “how carefully combining different types of training data and model architectures can lead to state-of-the-art performance on a range of AI benchmarks.”&nbsp; 
Furthermore, the research team is convinced that Apple MM1 can speed up performance as well as reduce the volume of follow-up prompts that are required to obtain the desired results. Some of the touted functionalities of Apple MM1 are enhanced in-context learning, multi-image reasoning, and enabling few-shot chain-of-thought prompting. 
A few of these capabilities make this LLM a close rival of <a href="https://coingape.com/openai-chatgpt-might-be-getting-lazier-heres-how/">ChatGPT</a> and <a href="https://coingape.com/google-ceo-teases-capabilities-of-gemini-its-ultimate-chatgpt-killer/">Google’s Gemini</a>. Even the researchers confirmed this brings competition by stating that Apple MM1 produces performance that is quite competitive on several benchmarks “while enabling multi-image reasoning and few-shot prompting.” 
Due to its large-scale multimodal pretraining, the Apple MM1 can perform in-context predictions conveniently. MM1 looks like a family of AI models with around 30 billion parameters. Compared to OpenAI’s GPT-4 and Claude 3 Opus which have a trillion parameters, this figure is only a small percentage.&nbsp; 
<h2 id="strong-expansion-in-the-ai-landscape-strong">Expansion in the AI Landscape</h2> 
Notably, Apple MM1 is one of the many AI models that have been released in recent times. Many earlier applications that equally competed with ChatGPT have been launched.&nbsp; 
Newly launched applied AI firm Cognition Labs debuted the first <a href="https://coingape.com/ai-news-cognition-labs-unleashes-devin-worlds-first-ai-software-engineer/">AI software engineer</a> dubbed Devin a few days ago. Devin has been screened by several top AI companies and is said to possess the capacity to perform autonomous coding and also fine-tune its AI models. 
There is also <a href="https://coingape.com/google-unveils-genie-its-video-games-generating-ai/">Google Genie</a> which was launched by DeepMind. The new AI tool is capable of creating playable virtual worlds from a single image. It is clear that the AI landscape is gradually expanding and more models are bound to show up in the coming months. 
The post <a href="https://coingape.com/ai-news-apple-quietly-unveils-mm1-new-chatgpt-and-gemini-killer/">AI News: Apple Quietly Unveils MM1, New ChatGPT and Gemini Killer</a> appeared first on <a href="https://coingape.com">CoinGape</a>.

AI News: Apple Quietly Unveils MM1, New ChatGPT and Gemini Killer

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