Define the new internet.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
Look up the words people use online, add the ones we missed, and help make the internet easier to understand.
1,322 definitions
機械支援の翻訳下書き (Japanese) for "Network Graph": A machine-readable representation of all nodes, sites, and connections in the PlatPhorm News Network, available at platphormnews.com/api/network/graph. Each node describes a service, its capabilities, and its relationships to other nodes — enabling agents to discover and traverse the network programmatically.
“例文の下書き: An AI agent queried the network graph to find the right service for emoji generation.”
機械支援の翻訳下書き (Japanese) for "WebFinger": An open protocol (RFC 7033) for discovering information about people or resources using a simple HTTPS URI. WebFinger lets you look up who owns an account like acct:user@site.com and retrieve their public profile, keys, or social links without centralized login.
“例文の下書き: The federated app used WebFinger to resolve the user's identity before sending them a message.”
機械支援の翻訳下書き (Japanese) for "PlatPhorm Docs": The PlatPhorm collaborative documentation network (docs.platphormnews.com) where definitions, API references, and guides are published and cross-linked across the network. Definitions submitted to the dictionary are automatically mirrored to PlatPhorm Docs.
“例文の下書き: After submitting the definition, a docs article was automatically created at docs.platphormnews.com.”
機械支援の翻訳下書き (Japanese) for "PlatPhorm Polymaths": The PlatPhorm community hub for multi-disciplinary thinkers and creators (polymaths.platphormnews.com). PlatPhorm Polymaths profiles highlight contributors who span multiple fields, celebrating intellectual cross-pollination and the value of diverse expertise.
“例文の下書き: She was featured on PlatPhorm Polymaths for her work bridging marine biology and machine learning.”
機械支援の翻訳下書き (Japanese) for "Open Network": A decentralized collection of interconnected sites, APIs, and agents that operate on shared open standards rather than proprietary lock-in. An open network allows any conforming node to join, participate, and be discovered without needing permission from a central authority.
“例文の下書き: PlatPhorm is designed as an open network so third-party tools can plug in via MCP or standard REST APIs.”
機械支援の翻訳下書き (Japanese) for "Federated AI": An approach to AI training and inference where models are distributed across multiple nodes or organizations without centralizing raw data. Each node trains on its local data and shares only model updates, preserving privacy while benefiting from collective learning.
“例文の下書き: The hospital network used federated AI to improve diagnosis models without sharing patient records.”
機械支援の翻訳下書き (Japanese) for "PlatPhorm ASCII": The PlatPhorm ASCII art service (ascii.platphormnews.com) that generates text-based visual representations of network concepts, logos, and diagrams. ASCII art from this service can be embedded in terminal outputs, markdown files, and LLM prompts.
“例文の下書き: The CLI tool fetched the PlatPhorm ASCII logo to display in the terminal welcome screen.”
機械支援の翻訳下書き (Japanese) for "Prompt Engineering": The craft of designing, structuring, and refining inputs (prompts) to elicit desired outputs from large language models. A skilled prompt engineer understands how to use context, examples, formatting, and instruction clarity to guide model behavior without changing the underlying weights.
“例文の下書き: Good prompt engineering turned an unreliable prototype into a production-ready feature in just a week.”
機械支援の翻訳下書き (Japanese) for "Context Window": The maximum amount of text (measured in tokens) that a language model can process and "remember" in a single interaction. Information outside the context window is inaccessible to the model, making context management critical for long-form tasks.
“例文の下書き: The model kept losing track of earlier instructions because the codebase exceeded its context window.”
機械支援の翻訳下書き (Japanese) for "Fine-Tuning": The process of further training a pre-trained model on a smaller, task-specific dataset to adapt its behavior for a particular domain or style. Fine-tuning updates the model's weights to make it perform better on specific tasks without training from scratch.
“例文の下書き: We fine-tuned the base model on our legal contracts corpus so it could draft clauses in the right style.”