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I'm just here for the comments about how awful Google has been every step of the way with their AI products. One disappointment after another all with initial hype from launch

@SparQz

8 күн бұрын

Yeah but have you seen Claude?😊

@freddiechipres

8 күн бұрын

Agreed. Gemini has been the one of the worst models so far

Trying this Now!!

Dumb question: so they are finally catching up with OpenAI and Claude from that perspective?

Does it work? Trying to get the tldr

Moshi AI: Real-Time Personal AI Voice Assistant - Beats GPT-4o!: kzread.info/dash/bejne/mqqEms-Oh9udgto.html

Yo Does anyone know a TTS for Offline Text that actually Works and way to add Multiple Voices. ( For some Reason THERE ISNT ANY FREE TTS for OFFLINE USE)

[Must Watch]: Pieces App: The BEST AI Coding Workflow Copilot! Live Context Windows for LLMs!: kzread.info/dash/bejne/iamCmdKGl9ydcZs.htmlsi=G66XI7x1fG8or3fL Github Copilot Workspaces: Create Software with AI!: kzread.info/dash/bejne/rIRl0K-umsXNZco.htmlsi=4okXviKso6qy0Gev Continue: AI Auto-Completes Code To Create Software For FREE!: kzread.info/dash/bejne/inV4qY-qo6nHlso.htmlsi=wct77VAerTSM3Isd

GraphRAG: Ultimate RAG Engine - Semantic Search, Embeddings, Vector Search, & More! - kzread.info/dash/bejne/nXyOqq-zppa5mMo.html

how is this better than cursor ai ?

Gemini 1.5 Pro: This video is about Google's recent upgrade to their AI Studio, including a new feature called code execution. The video starts by introducing a new team of software engineers, machine learning experts and AI consultants that will be providing AI solutions for businesses and personal use cases. Then it dives into the details of the update. The key features of the update include: * A 2 million token context window, which allows the model to consider more context when generating text. * Code execution capabilities, which allows the model to generate and run Python code. This can be used for a variety of purposes, such as automating tasks, generating code, and debugging code. * A new model called Gamma 2. The video also discusses the difference between code execution and function calling. Code execution allows the API to autonomously generate and execute Python code in a controlled backend environment. Function calling, on the other hand, runs a requested function in the user's chosen environment. Here are some limitations of code execution: * The model can only generate and execute code, it cannot return other artifacts like media files. * Code execution can run for a maximum of 30 seconds before timing out. * Enabling code execution can lead to regressions in other areas of the model's output. Overall, the update to Google AI Studio includes a number of new features that make it more powerful and versatile tool for working with AI.