Sequence-to-sequence, or Seq2Seq, describes models that map an input sequence to an output sequence whose length may differ. Machine translation converts words in one language into another, speech recognition maps audio frames to text, and summarization produces a shorter sequence from a longer document. Many Seq2Seq systems use an encoder to represent the input and a decoder to generate output step by step, often with attention between them. Transformer encoder–decoder architectures largely replaced earlier recurrent designs. Training typically uses paired examples and token-level loss, while inference relies on greedy, beam, or sampling-based decoding. Quality depends on alignment, context limits, data coverage, and evaluation beyond surface overlap.
Jeff Bezos joins Project Prometheus as co-CEO, helping lead the AI startup with $6.2 billion in funding to improve manufacturing across tech, automotive, and aerospace sectors.
OpenAI introduces group chat for ChatGPT, letting users collaborate in shared conversations with GPT‑5.1 Auto handling responses, image generation, and more.
Alibaba.com unveiled AI Mode at CoCreate Europe, integrating agentic AI into its platform to help businesses discover suppliers, optimize sourcing, and automate trade processes.
Google is introducing new AI-powered shopping experiences, including conversational search, agentic checkout, and Duplex-based store calls, designed to make online shopping faster, easier, and more natural ahead of the holiday season.
LinkedIn is expanding its AI capabilities with a new natural language–based people search feature, allowing users to find professionals by describing who they’re looking for instead of relying on filters or job titles.
OpenAI has launched GPT‑5.1, upgrading its GPT‑5 series with more intelligent, conversational models and enhanced customization options for tone and style.
Anthropic will spend $50 billion on custom AI data centers in Texas and New York, partnering with Fluidstack to boost U.S. compute capacity and support its long-term research.
Google introduces Private AI Compute, a cloud platform that combines Gemini models with advanced privacy protections, allowing AI to process sensitive data securely without user exposure.
Google will invest €5.5 billion ($6.41 billion) in Germany to expand its cloud and data center capacity, building new facilities in Hesse as part of its European infrastructure strategy.
Meta’s chief AI scientist Yann LeCun is reportedly preparing to leave the company to start his own AI venture focused on world models, signaling a major shift for Meta’s research division.