Gemini API 102: Next steps beyond "Hello World!"

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • google

    Google developer code samples (by wescpy)

  • Let's start with the original script from the first post that we're going to upgrade here, gemtxt-simple-gai.py:

  • generative-ai-docs

    Documentation for Google's Gen AI site - including the Gemini API and Gemma

  • QuickStart code

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • python-docs-samples

    Code samples used on cloud.google.com

  • QuickStart code

  • pillow

    Python Imaging Library (Fork)

  • The Python Imaging Library (PIL)'s flexible fork, Pillow

  • generative-ai-swift

    Google AI SDK for Swift

  • The previous post kicked off the conversation about generative AI, presenting "Hello World!" examples that help you get started with the Gemini API in a more user-friendly way than in Google's documentation. It presented code samples showing you how to use the API from both Google AI as well as GCP Vertex AI. This post follows up with a multimodal example, one that supports streaming output, and another one that supports multi-turn conversations ("chat"), and how to upgrade to the latest 1.0 and 1.5 models, the latter of which is in public preview at the time of this writing.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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