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Google AI Studio Build: FREE Lovable AI Alternative

8 min · 30. okt. 2025
episode Google AI Studio Build: FREE Lovable AI Alternative cover

Description

Exciting news from Google! The new Google AI Studio update brings free AI coding tools and powerful code generation features! Read the full article: https://proflead.dev/posts/free-lovable-ai-alternative/ [https://proflead.dev/posts/free-lovable-ai-alternative/] Watch on YouTube: https://youtu.be/I1N2_4h_GQs [https://youtu.be/I1N2_4h_GQs]

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32 episodes

episode Claude Code + Ollama Explained in 4 Minutes artwork

Claude Code + Ollama Explained in 4 Minutes

Did you know the new Claude Code CLI tool doesn't have to run on Anthropic's servers? In my latest video, I show you a "hack" to redirect Claude Code to use your local Ollama server. This means you can use open-source models (like Llama 3, Qwen, or GPT-OSS) directly in your terminal for free. Why do this? Privacy: Your proprietary code never leaves your local network. Cost: Zero API fees. The Catch? I put it to the test on a machine with 32GB RAM and 8GB VRAM. While it works, the speed difference compared to the cloud is massive. Check out the full tutorial and performance test to see if your rig can handle it! Watch on YouTube: https://youtu.be/COpg79ab6ug [https://youtu.be/COpg79ab6ug] Read the full tutorial: https://proflead.dev/posts/claude-code-with-ollama-tutorial/ [https://proflead.dev/posts/claude-code-with-ollama-tutorial/]

25. jan. 20264 min
episode How to use Ollama (2026 Tutorial) artwork

How to use Ollama (2026 Tutorial)

Learn how to use Ollama in 2026! This complete ollama tutorial covers everything you need to run large language models (LLMs) locally on Linux, Mac, and Windows. We dive into the CLI, new Cloud features, and how to use local ollama Python scripts to integrate AI into your own projects.In this video, we explore the power of ollama to run open-source models like Gemma and Mistral without paying for cloud API fees. You will learn how to download models, manage them via the command line, create custom model files, and set up a local server. Key Topics Covered: * Installing Ollama on any operating system. * Running your first LLM locally (Gemma, Llama, etc.). * Using Ollama Cloud to offload heavy models (like 100B+ params). * Writing Python scripts to interact with your local models. * Creating custom "Modelfiles" for personalized AI behavior. * Watch on YouTube: https://youtu.be/AGAETsxjg0o?si=h7_IB4vRqT6shmo0 [https://youtu.be/AGAETsxjg0o?si=h7_IB4vRqT6shmo0] The full tutorial: https://proflead.dev/posts/ollama-tut... [https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbkVlemRRSENSNWpxRHpFdVBvb1JGaFhaTkxkd3xBQ3Jtc0trQUhyZWpjcDNtRkUxSk9kQmY2MUZvZFZZSUZrQmRxNVBSeEE0cW1UWGdBMGRXVTRnY3gybmh2WlctTXNiOF9LYXZZc1RONHdxdmxIbi1aZVFiRnhZWmVHbWl1N0Fid1RKcU5lSlUwRWM1Q2lmZW9CTQ&q=https%3A%2F%2Fproflead.dev%2Fposts%2Follama-tutorial%2F&v=AGAETsxjg0o]Download Ollama: https://ollama.com [https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa0djMWlkZndoWk1QcG94VV9wQVEzVVpjVk1rZ3xBQ3Jtc0trUTM5U0YwUWJ5YTVlU1NIQ1QtTHhOSUphZzZDSWdiRUxjR1FGSExhaDdhNHNQc200VEdFYTRMa3ZMc3JETDhXT0VlUENPZnRtOERMNVJaTjRrbDhVczhCaHMtUTEtdnF6X1ZOaEoxcVNWcHI4ZFhNOA&q=https%3A%2F%2Follama.com%2F&v=AGAETsxjg0o]Ollama Library: https://ollama.com/library [https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbmtpUkNSUlp2b3ZfMXJRWHJydk0tMzdKUzd4Z3xBQ3Jtc0tuUFVkRG1NdDNKQXU5TlgtYkVvTGNkeGkyYzNDZTlNWHY4UTV0UG83Sk5fYnJCa0I5dGFxQjcyR1NVTXJ5Z0RVb0p0WC1EMnBUQ2hIekl2VHk1Zkl3bzAtSDdVX2RkbUxZQk9FVkRoOExSY1REcGVDcw&q=https%3A%2F%2Follama.com%2Flibrary&v=AGAETsxjg0o]

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