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We built a self-hostable agentic AI + BI platform — agents, multi-agent swarms, RAG, dashboards, notebooks, all on your own keys

Reddit r/artificial · 2026-07-28

A self-hostable AI and BI platform integrating agents, multi-agent swarms, RAG, dashboards, and notebooks, all using your own API keys.

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#notebooks

@DanKornas: Fine-tuning a new model shouldn’t mean rebuilding the same training notebook from scratch. Unsloth Notebooks is a colle…

X AI KOLs Timeline · 2026-07-21 Cached

Unsloth Notebooks is a collection of 250+ open-source fine-tuning and reinforcement-learning notebooks for text, vision, audio, embeddings, and speech models, providing ready-to-use Colab notebooks with data preparation, training, and inference steps.

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#notebooks

@_rohit_tiwari_: BOOKMARK Worthy: This guy literally built a full set of notebooks that actually teach deep learning, from basics to tra…

X AI KOLs Timeline · 2026-06-27 Cached

A comprehensive set of Jupyter notebooks covering deep learning from basic mathematics to transformers, based on the Understanding Deep Learning book.

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#notebooks

@DanKornas: LLM eval is where most AI demos start becoming real systems. LLM-Evaluation is a public GitHub resource with workshop s…

X AI KOLs Timeline · 2026-06-17 Cached

A tweet announces LLM-Evaluation, a public GitHub repository containing workshop slides, sample notebooks, prompts, and reference links for evaluating LLMs, generative AI, and RAG systems, aiming to provide a practical map of evaluation workflows.

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#notebooks

@tom_doerr: Step-by-step notebooks for building RAG systems https://github.com/langchain-ai/rag-from-scratch…

X AI KOLs Timeline · 2026-06-14 Cached

A step-by-step notebook series for building RAG systems from scratch, covering indexing, retrieval, and generation, accompanied by a video playlist.

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#notebooks

You asked for DeepLearning.ai-style notebooks for AgentSwarms—so we built 67 of them (TypeScript/LangChain/LangGraph/LlamaIndex/AgentsSDK/VercelAI).

Reddit r/AI_Agents · 2026-06-11

AgentSwarms launched 67 free, TypeScript-based interactive notebooks for learning multi-agent systems, covering LangChain fundamentals to production-grade error handling and failure modes.

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#notebooks

@isaac_flath: RLM means notebooks are gonna be back (I hope). Agent driving a REPL with interleaved prose. The exact backend the nb i…

X AI KOLs Following · 2026-04-21 Cached

Isaac Flath predicts RLM will revive notebooks by enabling agents to drive REPLs with interleaved prose.

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#notebooks

stefan-jansen/machine-learning-for-trading

GitHub Trending (daily) · 2026-06-01 Cached

The article introduces the GitHub repository for the book 'Machine Learning for Trading' (2nd edition), which provides over 150 Jupyter notebooks covering ML techniques for algorithmic trading, including feature engineering, supervised/unsupervised learning, deep learning, and reinforcement learning.

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