Tag
Un tweet recomienda seguir a @nicos_ai y comparte una publicación que afirma que Anthropic ha revelado un truco para mejorar Claude Opus 5.5 mediante un comando en Claude Code que consulta a otro modelo, "Fable 5.1", para revisar su trabajo.
@TaoRay推荐他的粉丝给YouTube创作者Alan Chen，Alan Chen感谢推荐并呼吁粉丝互关。
A tweet recommends an early read of an incredible profile of Mark Zuckerberg by colossusjeremy, associated with the Founders Podcast.
The article recommends Meta's Muse app, highlighting it as an amazing application.
A tweet recommends a video where @poteto shares her journey from skepticism to systematic problem-solving with AI agents, and includes a quote from a SpaceXAI engineer about using agents for automation.
A user shares their experience with ChatGPT for diverse private tasks like Japanese translation and Excel coding, and requests recommendations for a more reliable AI assistant due to recent frustrations.
Philipp Schmid praises an unnamed AI model for being cost-effective and blazing fast.
A tweet from David Ondrej recommending a repository that he believes every agentic engineer should use.
This paper presents a decision-centric causal optimization framework for large-scale targeting and recommendation, combining a causal Transformer, Bayesian bandit layer, and dual-based linear programming. It reports a statistically significant +7.20% lift in LinkedIn Feed marketing traffic via online A/B testing.
This paper proposes DKG-MTI, a dual knowledge graph framework that augments LLM-based inference with structure-aware knowledge alignment to jointly predict aspect ratings and generate user intent statements from online travel reviews.
SeqLLM is a framework that injects behavioral-sequence modeling into pretrained LLMs while preserving language ability, enabling joint analysis of text and behavior for high-stakes decisions. Deployed at WeChat Pay, it improves merchant screening precision from 92.0% to 97.5% and achieves state-of-the-art results on open recommendation benchmarks.
A three-stage multimodal framework improves follow-up edit recommendations in conversational image-creation systems, using SFT, multi-objective RL, and visual verification to reduce visual inconsistency and boost engagement metrics in a live A/B test.
A recommendation to use the new DeepSeek v4 Flash model with the Pi harness, which works well with many recent open models until DeepSeek's own harness is released.
A recommendation to read a guide by the inventor of AI context profiles on creating a personal knowledge base.
Recommend a Google Chrome prompt reverse engineering extension promptcard, with great replication effect, suitable for prompt engineering.
Recommends 5 YouTube creators focused on AI tutorials and reviews, covering hands-on Agent usage, model comparisons, frontend design, and other valuable content.
A tweet praising Mike Bradley, a former operations leader who now focuses on Local AI, sharing his motherboard overview and setup tips for a 2x PRO 6000 build.
A tweet recommending Arvind Narayanan's annotated slides from his talk 'AI as Normal Technology' as a high-level overview of the concept.
Ahmad (@TheAhmadOsman) demonstrates how easy local AI setup can be with a single curl command for Osmantic, which is recommended by @TheMachineSpace as the top way to get into AI.
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.