“「避難場所どこだっけ？」「人口推移を知りたい」といった質問をAIに投げるだけで、最...”

“The article quotes a command line example: `embedding-adapters embed --source sentence-transformers/all-MiniLM-L6-v2 --target openai/text-embedding-3-small --flavor large --text "where are restaurants with a hamburger near me"`”

“N/A (This is a headline, not a full article with quotes)”

“HEROSQL achieves an average 9.40% improvement of AUPRC and 12.35% of AUROC in identifying semantic inconsistencies.”

“N/A - No direct quote in the provided text.”

“Overcoming Privileged Information Bias in Asymmetric Embodied Agents via Active Querying”

“「こういうことしたいんだけど、どのLLM使ったらいいんだろう...」”

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“The research focuses on the use of LLMs for extracting, querying, and managing data from literature on 2D materials.”

“Sumble allows you to find: - tech stacks (in larger companies, down to the team or buying group level) - key projects those teams are working on (cloud migrations, GenAI initiatives, etc.) - people involved in those key projects”

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“AIs are really good at writing code but really bad at debugging -- it's amazing to use Claude to prompt an app into existence, and pretty frustrating when that app doesn't work right and Claude is all thumbs fixing the problem.”

“An example is something like "best ski resorts in the US", which will get a different response from every GPT, but most of their rankings won't reflect actual skiers' consensus.”

“Trellis transforms phone calls, PDFs, and chats into structured SQL format based on any schema you define in natural language.”

“An open source DuckDB text to SQL LLM”

“Fine-tuning LlaMA 7B to use the Weaviate GraphQL APIs”

“Query your database using plain English, fully on-premises”

“The article's focus is on showcasing how users can chat with their data.”

“The article likely provides technical details on how to set up pgvector, how to generate embeddings using OpenAI's API, and how to perform similarity searches within the database.”

“Ashutosh and I discuss his RoboBrain project, a computational system that creates semantically meaningful and actionable representations of the objects, actions and observations that a robot experiences in its environment, and allows these to be shared and queried by other robots to learn new actions.”

“A Natural Language Query Engine Without Machine Learning.”

“Further analysis would require the full article content. Potential areas of focus could include specific attack methodologies (e.g., model extraction, membership inference), defenses against such attacks, and the ethical considerations surrounding model security.”