#jupyter_notebook #gemini #gemini_api

The Gemini API is a powerful tool that lets you work with advanced AI models created by Google DeepMind. These models can handle text, images, code, and audio, making it easy to develop various applications. To get started, you need to log in to Google AI Studio, create an API key, and use the provided quickstart tutorials or official SDKs for languages like Python, Node.js, or Dart. The API offers features like code execution, vector databases, and more. This helps you solve complex tasks and build innovative projects quickly and efficiently. If you need help, you can ask on the Google AI Developer Forum.

https://github.com/google-gemini/cookbook

#jupyter_notebook #gemini #gemini_api #generative_ai #google #google_cloud #google_gemini #langchain #llm #palm_api #vertex_ai #vertex_ai_gemini_api #vertexai

This repository helps you use and develop generative AI with Google Cloud. It includes notebooks, code samples, and apps for various tasks like image generation, chatbots, and language models. You can find resources for building search engines, conversational AI, and more using Vertex AI. The repository also provides setup instructions and learning materials. This helps you quickly start and manage generative AI projects, making it easier to create innovative solutions.

https://github.com/GoogleCloudPlatform/generative-ai

#python #gemini #gemini_api #googlesearch #imagen_3 #load_balancer #openai_api

Gemini Balance is a Python-based tool that acts as a proxy and load balancer for the Google Gemini API, letting you manage multiple API keys efficiently by rotating them automatically to improve availability and concurrency. It supports both Gemini and OpenAI API formats, enabling chat, image generation, image editing, and web search features. You can monitor key status in real-time, configure settings visually without restarting, and use proxies for special network needs. It also supports Docker deployment for easy setup. This helps you reliably use Gemini API services with better performance, flexibility, and monitoring, saving you time and effort in managing API keys and requests.

https://github.com/snailyp/gemini-balance

#typescript #gemini #gemini_api

Gemini CLI is a free, open-source AI tool that lets you use Google's powerful Gemini AI directly in your terminal to write, understand, and debug code quickly. It supports up to 60 requests per minute and 1,000 per day for free, with access to advanced models and a large context window. You can automate tasks, run commands, search the web for real-time info, and integrate it with GitHub for automated code reviews and issue management. It works on macOS, Linux, and Windows, and is easy to install via npm or Homebrew. This tool helps you speed up coding and workflow automation right from your command line.

https://github.com/google-gemini/gemini-cli

#python #gemini #gemini_ai #gemini_api #gemini_flash #gemini_pro #information_extration #large_language_models #llm #nlp #python #structured_data

**LangExtract** is a free Python library that uses AI models like Gemini to pull structured data—like names, emotions, or meds—from messy text such as reports or books. It links every fact to its exact spot in the original, creates interactive visuals for easy checks, handles huge files fast with chunking and parallel runs, and works with cloud or local models without fine-tuning. You benefit by quickly turning unstructured docs into reliable, organized data for analysis, saving time and boosting accuracy in fields like healthcare or research.

https://github.com/google/langextract