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When comparing Chinese AI vs ChatGPT, your decision comes down to cost versus security. If you need low API pricing, open weights, and fast coding assistance, Chinese AI models like DeepSeek lead the way. However, if your team...
In this article, you will learn how to build a multilingual text classification pipeline using multilingual large language model (LLM) embeddings and Scikit-learn, without training...
Ask questions about your portfolio, review suggested spending categories, or connect your own AI agent through MCP. How AI works in Wealthfolio, what it can change, and where your data goes.
Ollama only runs the model, so the answer depends on which one you pull and your memory. What local models do well, where Claude wins, and a verdict.
Self-hosted AI agents take a weekend to stand up. Operating them takes a team. A day-2 cost breakdown of uptime, containers, scheduling, state, observability, secrets and approvals, plus the self-hosted vs managed vs hybrid decision table.
I run this episode solo. I explain local AI in plain terms: the model runs on hardware I control, and a cloud model runs somewhere else. I map the four pieces of the local AI landscape — the model, the warehouse, the software, and the workflow — and I define the words that beginners meet first:…
Notebook by Bilge Yucel In this notebook, we will use Ollama, Gemma2 and Haystack to build a self-reflecting agent that can leverage web resources to augment its self-reflection and decision-making capabilities.
There are plenty of LLM projects you can build in 2026, and they can take you into very different areas of the technology. You could work with retrieval and documents, build an agent that uses tools, create a coding assistant, or focus on evaluating how well a model performs a particular task.
Evaluate an agent-native CRM through its write surface, approval model, self-hosted support, machine-readable documentation, and first-party tooling.
Ollama's Pro, Max, and Team plans now use industry-standard per-token pricing with usage included on every plan.
Claude Desktop can now be configured to work with Ollama as a third-party gateway provider, making it possible to use open models in Claude.
OpenAI just made the engine under Codex an Apache-2.0 platform — codex exec, the SDK, and the JSON-RPC app-server. The pitch is one number: harness changes alone took the same model from 13.3% to 38.3% on ARC-AGI-3 with 6x fewer tokens.
A 48-minute video walkthrough of token sampling, watermark detection, and removal
We read the AGENTS.md files of the 100 most-starred repos on GitHub that have one. Here's what they instruct their coding agents, what they ban, and a copy-paste template distilled from all of it
Meetily pinning your CPU while an RTX card sits idle? Here is what v0.4.0 fixed, what it did not, and the build flags that get CUDA working.
Self-host Relaticle with Docker, Coolify, or Dokploy. Understand the additional model and broadcasting setup needed for chat, plus MCP and credit limits.
Meetily can be fully local. Setup still means models, permissions, and sometimes a toolchain. The official path, and when a turnkey app saves the day.
Open NotebookLM (lfnovo/open-notebook) is a free, open-source, self-hosted NotebookLM alternative. See its features, GitHub setup, real user feedback, and a simpler private option for Mac.
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