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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.
NVIDIA's nvfp4 quantized version of Qwen 3.6 35B is recommended over the Unsloth variant, offering better performance. The model is available on HuggingFace for use in AI applications.
A guide comparing the best local LLMs for English story summarization, offering recommendations based on performance and accessibility.
Recommended the agentic coding skills suite v1.0.0 released by @mattpocockuk, which includes the 'grill me' skill capable of multiple rounds of detailed questioning. It is considered extremely concise in programming skill descriptions.
This article introduces four open-source RAG/knowledge base tools (FastGPT, LLM Wiki, llm-wiki-agent, OpenKB) and provides selection suggestions suitable for building enterprise or personal knowledge bases.
Recommends a popular article with over 4 million impressions, and suggests using the SentiaRead browser extension to read English to gain knowledge and build vocabulary.
User recommends Stanford's open course on AI architecture, finding the lectures fascinating and captivating.
Recommend a book for systematically learning the basics of large language models: 《Foundations of Large Language Models》, written by Tong Xiao and Jingbo Zhu from Northeastern University NLP Lab and NiuTrans Research.