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This paper presents a training-free LLM-based candidate generation pipeline for vacation rental marketplaces, using an off-the-shelf LLM to synthesize semantic queries and dense retrieval to complement collaborative filtering, significantly improving coverage for long-tail properties while maintaining performance on well-served ones.
A tweet recommends the book 'Mathematical Foundations of Reinforcement Learning' by Shiyu Zhao, providing a GitHub link to the book's source code and slides.
Asks for recommendations on AI girlfriend apps suitable for complete beginners.
An open-source skill that turns any AI agent into a personal sommelier, allowing users to get drink recommendations based on taste preferences and food pairings, with local privacy and no external dependencies.
Recommend 10 must-install Skills on the WorkBuddy platform, covering search, document processing, automation and other scenarios, which can boost AI productivity.
Miro warns that most people will regret buying a Mac or DGX Spark for local LLMs, and recommends the RTX Pro 6000 for serious use.
Uses experimental data to illustrate the significant impact of visual quality on conversion rates (e.g., e-commerce conversion rate increased by 157%, YouTube CTR rose from 3% to 8.2%), and recommends 10 professional-grade AI image generation and slide design Skills on the YouMind platform to help achieve high visual quality at low cost.
Presents SkillSelect-Serve, a framework for budget-controllable and QoS-aware skill service recommendation and composition for small LLM agents, evaluating on a large registry and demonstrating improved recall and utility over top-k retrieval.
Tobi recommends using Ducklake with DuckDB for efficient data import, such as health data from Fitbit, and suggests telling agents to learn it.
Recommends the HelloGitHub website, which curates interesting and high-quality open source projects, and provides monthly magazines and article collections.
Recommends running deepsec on all repositories for security scanning.
A recommendation for developers to watch TheosTheory's content when using AI agents.
A Twitter user recommends a comprehensive book on generative AI covering language modeling, inference optimization, RL, system scaling, and applied concepts like agentic AI and RAG, also sharing advice to read top-cited papers from Papers With Code.
Recommends reading the top most cited papers on Papers with Code, one or two per week, to deeply understand influential AI research.
A tweet recommending a resource for those interested in LLM inference at the kernel and memory level.
Recommend computer science students to study the Stanford CS336 course (Language Modeling from Scratch) to improve LLM understanding and English ability.
A recommendation of Nancy Lynch's book 'Distributed Algorithms' as a valuable resource for distributed systems professionals.
Asks for recommendations on affordable AI models for content writing, image generation, and vibe coding.
Recommended several bloggers focusing on AI, US stocks, cryptocurrencies, quantitative trading, etc., and briefly introduced their characteristics and achievements.
Recommends Asspp as a god-tier iOS software.