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#recommendation

SkillSelect-Serve: Budget-Controllable and QoS-Aware Skill Service Recommendation and Composition for Small LLM Agents

arXiv cs.AI · 13h ago Cached

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.

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#recommendation

@tobi: Ducklake with duckdb is really really good. Tell your agent to use it if you ask it to import a lot of data ( like heal…

X AI KOLs Timeline · yesterday

Tobi recommends using Ducklake with DuckDB for efficient data import, such as health data from Fitbit, and suggests telling agents to learn it.

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#recommendation

@noisepoint_agi: Recommends https://hellogithub.com — a curated selection of interesting and high-quality open source projects, plus monthly magazines and article collections.

X AI KOLs Timeline · 3d ago Cached

Recommends the HelloGitHub website, which curates interesting and high-quality open source projects, and provides monthly magazines and article collections.

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#recommendation

@DavidOndrej1: start running deepsec on all your repos trust me.

X AI KOLs Timeline · 4d ago Cached

Recommends running deepsec on all repositories for security scanning.

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#recommendation

If you are a developer, it's imperative you watch TheosTheory if you use Agents!

Reddit r/AI_Agents · 5d ago

A recommendation for developers to watch TheosTheory's content when using AI agents.

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#recommendation

@TheGlobalMinima: In nearly 5 years of modern generative ai, this is the first book I’m seeing with a super high level of coverage and co…

X AI KOLs Timeline · 6d ago Cached

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.

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#recommendation

@TheGlobalMinima: Do yourself a favour > go to http://paperswithcode.co > find “most cited” list of papers > read the top 10 papers > one…

X AI KOLs Timeline · 2026-06-25 Cached

Recommends reading the top most cited papers on Papers with Code, one or two per week, to deeply understand influential AI research.

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#recommendation

@trawasthi_ai: If you're seriously interested in LLM Inference - from kernel and memory level, do give it a watch. Thank me later.

X AI KOLs Timeline · 2026-06-25 Cached

A tweet recommending a resource for those interested in LLM inference at the kernel and memory level.

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#recommendation

@0xLinehigher: I strongly recommend every college student majoring in Computer Science to thoroughly study CS336 during their university years, without Chinese subtitles, only English subtitles. After finishing it, your understanding of LLMs and English proficiency will be at least in the top 1% in China. This course surpasses any computer science course in any domestic university. 《Stanford CS336: La…

X AI KOLs Timeline · 2026-06-24 Cached

Recommend computer science students to study the Stanford CS336 course (Language Modeling from Scratch) to improve LLM understanding and English ability.

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#recommendation

@vivekgalatage: Nancy Lynch's Distributed Algorithms is the kind of book where you read one page, stare at the wall for 10 minutes, and…

X AI KOLs Timeline · 2026-06-24 Cached

A recommendation of Nancy Lynch's book 'Distributed Algorithms' as a valuable resource for distributed systems professionals.

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#recommendation

Best cheap model for content writing, realistic image generation & vibe coding?

Reddit r/AI_Agents · 2026-06-23

Asks for recommendations on affordable AI models for content writing, image generation, and vibe coding.

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#recommendation

@mnmn94253156337: Blogger Recommendation Issue 2: They can still make money in this market. 1. @ZhanweiC - Quanzhen Jiaozhu (Founder) | Observing the world with a money-making perspective, prediction king, earning $10k/month, sharing predictions, solid US stock insights. 2. @Web3Dc888 - Qi Boqian, focusing on US stocks + cryptocurrencies, a dual-field veteran, belonging to 'stock-crypto...

X AI KOLs Timeline · 2026-06-23 Cached

Recommended several bloggers focusing on AI, US stocks, cryptocurrencies, quantitative trading, etc., and briefly introduced their characteristics and achievements.

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#recommendation

@taresky: iOS God-tier software: Asspp.

X AI KOLs Timeline · 2026-06-23 Cached

Recommends Asspp as a god-tier iOS software.

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#recommendation

@MiaAI_lab: FYI the best Qwen 3.6 35b nvfp4 to run is the @NVIDIAAI nvfp4. Do not use unsloth nvfp4, it performs worse. https://hug…

X AI KOLs Timeline · 2026-06-22 Cached

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.

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#recommendation

Best local LLM for English story summarization

Reddit r/LocalLLaMA · 2026-06-20

A guide comparing the best local LLMs for English story summarization, offering recommendations based on performance and accessibility.

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#recommendation

@Yonah_x: I also recommend it. I've been using it frequently lately. Grill me often puts me through a dozen rounds of questioning, making it the most thorough and detailed brainstorming skill I've ever used. I originally thought the skill description would be very complex, but after reading it, I was amazed by how concise it is. I'd call it the Li Jigang of programming. Writing a long skill is simple, but writing a short one is not easy...

X AI KOLs Timeline · 2026-06-18 Cached

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.

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#recommendation

@BlockView0214: How to build a knowledge base? There are a bunch of open-source RAG / knowledge base tools on GitHub, with clear divisions of labor: FastGPT (28k+ stars): A knowledge base platform based on LLM, with relatively complete workflows, Q&A, and dataset management, suitable for those who want to quickly build an enterprise knowledge base. https://g…

X AI KOLs Timeline · 2026-06-16 Cached

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.

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#recommendation

@kevinma_dev_zh: This article has recently gone viral, shared by many influencers, with over 4 million impressions. Strongly recommend reading it. Using the SentiaRead browser extension to read English is so comfortable. You can gain knowledge and build vocabulary.

X AI KOLs Timeline · 2026-06-16 Cached

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.

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#recommendation

@iluciddreaming: Stanford really is something else. Previously, I'd get bored after 30 minutes watching Indians teach programming. But this time, watching Stanford's open course on AI architecture, I was able to watch the entire one-hour content in one sitting, completely captivated. I give it a 10 out of 10.

X AI KOLs Timeline · 2026-06-12 Cached

User recommends Stanford's open course on AI architecture, finding the lectures fascinating and captivating.

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#recommendation

@PandaTalk8: 1/ Recently read a book that is perfect for systematically learning LLM basics: 《Foundations of Large Language Models》 by Tong Xiao and Jingbo Zhu, from China's Northeastern University NLP Lab and NiuTrans…

X AI KOLs Timeline · 2026-06-12 Cached

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.

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