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A self-hostable AI and BI platform integrating agents, multi-agent swarms, RAG, dashboards, and notebooks, all using your own API keys.
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.
A comprehensive set of Jupyter notebooks covering deep learning from basic mathematics to transformers, based on the Understanding Deep Learning book.
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.
A step-by-step notebook series for building RAG systems from scratch, covering indexing, retrieval, and generation, accompanied by a video playlist.
AgentSwarms launched 67 free, TypeScript-based interactive notebooks for learning multi-agent systems, covering LangChain fundamentals to production-grade error handling and failure modes.
Isaac Flath predicts RLM will revive notebooks by enabling agents to drive REPLs with interleaved prose.
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.