AI World Models: What Leaders Should Know - WSJ
AI World Models: What Leaders Should Know WSJ
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Tutorial - How to Toggle On/OFf the Thinking Mode Directly in LM Studio for Any Thinking Model
LM Studio is an exceptional tool for running local LLMs, but it has a specific quirk: the "Thinking" (reasoning) toggle often only appears for models downloaded directly through the LM Studio interface. If you use external GGUFs from providers like Unsloth or Bartowski, this capability is frequently hidden. Here is how to manually activate the Thinking switch for any reasoning model. ### Method 1: The Native Way (Easiest) The simplest way to ensure the toggle appears is to download models directly within LM Studio. Before downloading, verify that the **Thinking Icon** (the green brain symbol) is present next to the model's name. If this icon is visible, the toggle will work automatically in your chat window. ### Method 2: The Manual Workaround (For External Models) If you prefer to manage
Building the Memory Layer for a Voice AI Agent
Photo by Enchanted Tools on Unsplash Voice AI raises the bar for responsiveness completely. In a chatbot, a two or three second delay feels acceptable. In voice, that same delay feels strange. People start wondering if the app heard them, whether the microphone failed, or if they should repeat themselves. Voice is much less forgiving. That was the main thing I kept running into while experimenting with a voice journal app: a voice-first app powered by Sarvam AI for speech to text and text to speech conversion and Redis Agent Memory Server for memory. It’s a pretty straight forward app. A user speaks, the app transcribes the audio, decides whether the user wants to save something or ask something, fetches the right context, and then responds back in voice. What makes it interesting is build
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