Tag
A tweet listing 8 GitHub repositories that can be used for information-asymmetry arbitrage, covering remote work, making money with AI, Telegram groups, content creation, price-comparison monitoring, n8n automation, public datasets, and quantitative trading resources — while emphasizing that execution matters more than the information itself.
A user announces they have solved all attention-related problems on LeetGPU and compiled them into a resource for easy access.
The article announces the free availability of the textbook 'Deep Learning on Graphs' by Yao Ma and Jiliang Tang, covering Graph Neural Networks and deep learning on graph-structured data.
A tweet recommends a system design book that uniquely covers LLM aspects often omitted in other resources.
Announcing the launch of Awesome Gemma, a GitHub repository that curates resources, tools, and projects for Google DeepMind's Gemma models, including model cards, setup guides, and fine-tuning recipes.
A tweet promoting Bootoshi's guide on accessing free AI inference and local AI resources for those who cannot afford paid subscriptions.
A compilation of over 400 curated AI and machine learning resources has been posted on GitHub for free.
This article recommends Thoughtworks Technology Radar, a tech resource updated every six months containing assessments of technologies, tools, platforms, languages, and frameworks, categorized into four rings: Adopt, Trial, Assess, Hold.
A tweet curating foundational resources for understanding modern AI, covering topics from transformers to physical AI, including key papers and models.
A curated collection of must-use, actively maintained resources for building and shipping AI systems, covering AI engineering topics like RAG, agents, evals, guardrails, and deployment, along with recommended books, courses, and landmark papers.