The Biggest AI Model Releases of 2024 and Their Impacts on the Language Industry
2024 年 AI 模型重磅发布，
深刻影响语言行业
（图源Multilingual官网）
OpenAI, Meta, Google, and Anthropic introduced major artificial intelligence (AI) model updates this year, which primarily focused on three key trends:
OpenAI、Meta、Google 和 Anthropic 今年推出了拥有重大更新的人工智能 (AI) 模型，主要聚焦于三个关键趋势：
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higher-performing multi-modal large language models (LLMs), combining video, audio, and text;
多模态大型语言模型（LLM）的性能越来越更高，可结合视频、音频和文本；
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the growth of AI agents; and
AI 智能体日渐增多；以及
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the rise of small language models (SLMs) that are cheaper to run and more task-specific.
小型语言模型（SLM）的兴起，这些模型运行成本更低且更专注于特定任务。
1
Sora: Sora was the first major text-to-video model launch capable of generating realistic videos up to a minute long from textual descriptions. (February)
Sora： Sora 是首个重要的文本转视频模型，能够根据文本描述生成长达一分钟的逼真视频。 （二月）
GPT-4o: GPT-4omni is a model with voice and computer-vision capabilities, transforming ChatGPT into a virtual assistant with functionalities like real-time language translation/interpreting and tone modulation. (May)
GPT-4o： GPT-4omni 是一个具备语音和计算机视觉功能的模型，将 ChatGPT 转变为具有实时语言翻译/口译和语调调节等功能的虚拟助手。 （五月）
o1 Model: The o1 model focuses on reasoning-heavy tasks by leveraging a technique called chain-of-thought (CoT) reasoning. (September)
o1 模型： o1 模型通过利用一种称为链式思维 (CoT) 推理的技术，专注于推理密集型任务。 （九月）
2
Llama 3 Series: Meta released the open-sourced Llama 3 series, including versions 3.1 and 3.2. Llama 3.2 introduced vision-capable LLMs and lightweight text-only models designed for edge and mobile devices. (July and September)
Llama 3 系列： Meta 发布了开源的 Llama 3 系列，包括 3.1 版和 3.2 版Llama 3.2 引入了具有视觉能力的 LLM 和专为边缘设备和移动设备设计的轻量级文本模型。 （七月和九月）
Meta Movie Gen: Meta unveiled an AI video-generating tool capable of creating videos up to 16 seconds long from text prompts, outperforming competitors like OpenAI’s Sora and Google’s Veo. (October)
Meta Movie Gen： Meta 推出了一款 AI 视频生成工具，能根据文本提示创建长达 16 秒的视频，超越了 OpenAI 的 Sora 和谷歌的 Veo 等竞争对手。 （十月）
3
Gemini 1.5 Series: These models offer faster output speeds and lower latency that allows for more affordable application development. However, Google’s Gemini series faced significant backlash when its image generation feature produced historically inaccurate and offensive depictions, causing it to be pulled off the market for a period of time. (February)
Gemini 1.5 系列： 这个系列的输出速度更快，延迟更低，可以实现更经济的应用开发。但 Google 的 Gemini 系列的图像生成功能出现了历史不准确和冒犯性描述的问题，遭受了重大抨击，导致其被暂时下架。 （二月）
AlphaChip AI: Google DeepMind announced AlphaChip, an AI-driven method for designing electronic chip layouts, marking a significant advancement in AI-assisted hardware design. (September)
AlphaChip AI: Google DeepMind 发布了 AlphaChip，这是一种基于 AI 的电子芯片布局设计方法，标志着 AI 辅助硬件设计取得重大进展。（九月）
4
Claude 3.5: Anthropic’s most popular launch was Claude 3.5 Sonnet, an advanced model that excels at understanding nuanced instructions and generating sophisticated analyses. It features a Prompt Playground for developers to efficiently create and refine prompts for AI application development. (June)
Claude 3.5： Claude 3.5 Sonnet 是 Anthropic 最受欢迎的产品，这种高级模型擅长理解细微变化的指令并生成复杂的分析。它为开发人员提供了一个 Prompt Playground，用于高效地创建和完善 AI 应用开发的提示。 （六月）
Computer Use Capability: Anthropic launched a “computer use” feature, enabling AI to essentially control your computer and perform tasks similar to human computer interactions (such as moving cursors, typing, and browsing the internet). This feature has been adopted by companies like Asana, Canva, and DoorDash. (October)
计算机使用能力： Anthropic 推出了“计算机使用”（computer use）功能，使 AI 能够基本上控制您的计算机，并执行类似于人机交互的任务（例如移动光标、输入文本和浏览互联网）。这一功能已被 Asana、Canva 和 DoorDash 等公司采用。 （十月）
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