Spring AI with Local LLMs Using LM Studio
Large Language Models (LLMs) are commonly accessed through cloud APIs provided by services such as OpenAI, Anthropic, or Google Gemini. However, there are many situations where dev...
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Large Language Models (LLMs) are commonly accessed through cloud APIs provided by services such as OpenAI, Anthropic, or Google Gemini. However, there are many situations where dev...
1. NotebookLM — AI-Powered Research and Content Creation NotebookLM is Google’s free AI research assistant, available at notebook.google. Unlike a general chatbot, it only answer...
Scikit-LLM wraps language models in the scikit-learn estimator API, so it drops into a Pipeline or a cross-validation loop natively.
Google has rebranded NotebookLM as Gemini Notebook, introducing features designed to support more dynamic and structured workflows. One notable update is the Agentic Research capab...
Use SerpApi's Markdown output and the JSON Restrictor to give a local LLM more web search data in the same context window, tested on four models in LM Studio.
LM Studio has added Z.ai’s new GLM-5.3-Flash model to Bionic, its AI agent platform, bringing multimodal input, a 1 million-token context window, and significantly lower pricing th...
A Friday-to-Sunday plan, two copy-paste prompts, and one rule that keeps the AI honestContinue reading on Medium »
Ollama pulls model weights, keeps an HTTP server on port 11434, and hands any client an OpenAI-shaped endpoint pointed at your own machine. Learn how to manage, configure, and opti...
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