|
16 | 16 | - [[Automation]], [[Self-hosted application]], [[n8n]], [[AIOps]] |
17 | 17 | - [Stop paying $20 a month for n8n. Self host it in minutes : r/n8n](https://www.reddit.com/r/n8n/comments/1mz29g9/stop_paying_20_a_month_for_n8n_self_host_it_in/) |
18 | 18 | - [You can Fine-tune Gemma3-270M in Minutes and Deploy to Production using Jozu](https://mranand.substack.com/p/you-can-fine-tune-gemma3-270m-in) |
19 | | - - [[Fine tuning]], [[AIOps]] |
| 19 | + - [[Fine tuning]], [[AIOps]], [[LLM training]] |
20 | 20 | - [Drafted Workbook - ABOUT ME](https://www.drlilyabadal.com/drafted-workbook.html) |
21 | 21 | - [[Writing]], [[Artificial intelligence in education]] |
22 | 22 | - [Expert thinking with generative chatbots.](https://psycnet.apa.org/doiLanding?doi=10.1037%2Fmac0000199) |
|
64 | 64 | - [[plasticity]], [[Neuroscience]], [[Brain]] |
65 | 65 | - [How to Fix Your Context](https://www.dbreunig.com/2025/06/26/how-to-fix-your-context.html) |
66 | 66 | - [[Retrieval augmented generation]] |
| 67 | +- [Connor Davis (@connordavis_ai): "If you’re building AI systems in 2025, there are only two tools worth learning: LangGraph and n8n. The choice you make here will define how far you can actually scale. Here’s everything you need to know (and what nobody is telling you):" | nitter](https://nitter.net/connordavis_ai/status/1959212761558466829#m) |
| 68 | + - [[n8n]], [[langchain]], [[AI agents]], [[Automation]] |
| 69 | +- [iblameandrew/local-deepsearch-academic: An implementation of Google Deep Search 🕵️ with support for 1000+ references, local inference, chatting with your scraping session using RAPTOR, and report generation.](https://github.com/iblameandrew/local-deepsearch-academic) |
| 70 | + - [[Deep research]], [[langchain]], [[Knowledge base]], [[Research tools]], [[Question and answer]], [[DigLearning]], [[Search engine]], [[LlamaIndex]], [[Retrieval augmented generation]], [[Local AI]], [[streamlit]], [[Research article]], [[Literature review]] |
| 71 | +- [Anthropic launches higher education advisory board and AI Fluency courses \ Anthropic](https://www.anthropic.com/news/anthropic-higher-education-initiatives) |
| 72 | + - [[AI literacy]], [[Claude]] |
| 73 | + - [Teaching AI Fluency](https://anthropic.skilljar.com/teaching-ai-fluency) |
| 74 | +- [Hunyuan3D-2.1 - a Hugging Face Space by tencent](https://huggingface.co/spaces/tencent/Hunyuan3D-2.1) |
| 75 | + - [[3D generation]], [[Open LLM]], [[huggingface]] |
| 76 | +- [Learning Deep Representations of Data Distributions](https://ma-lab-berkeley.github.io/deep-representation-learning-book/) |
| 77 | + - [[Deep learning]], [[Artificial intelligence]] |
| 78 | +- [Onelevenvy/flock: Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams, powered by LangGraph, Langchain, FastAPI, and NextJS.(Flock 是一个基于workflow工作流的低代码平台,用于快速构建聊天机器人、RAG、Agent和Muti-Agent应用,采用 LangGraph、Langchain、FastAPI 和 NextJS 构建。)](https://github.com/Onelevenvy/flock) |
| 79 | + - [[AI agents]], [[Chatbot]], [[Retrieval augmented generation]], [[langchain]] |
| 80 | +- [Mirage: AI UGC game engine](https://blog.dynamicslab.ai/) |
| 81 | + - [[3D generation]], [[Game development]], [[Game engine]] |
| 82 | +- [FoundationVision/Waver: A video foundation model for unified Text-to-Video (T2V) and Image-to-Video (I2V) generation.](https://github.com/FoundationVision/Waver) |
| 83 | + - [[Video generation]], [[Image generation]] |
| 84 | + - [Waver](http://www.waver.video/) |
67 | 85 | - |
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