vertex-ai-samples
generative-ai-swift
| vertex-ai-samples | generative-ai-swift | |
|---|---|---|
| 24 | 4 | |
| 1,358 | 815 | |
| 4.0% | 4.8% | |
| 9.8 | 8.9 | |
| about 14 hours ago | 2 days ago | |
| Jupyter Notebook | Swift | |
| Apache License 2.0 | Apache License 2.0 |
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vertex-ai-samples
- Gemini 1.5 outshines GPT-4-Turbo-128K on long code prompts, HVM author
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Let's build your first ML app in Google Cloud Run
Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD).
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Google Gemini Pro API Available Through AI Studio
Cross posting some links from another post that HNers found helpful
- https://cloud.google.com/vertex-ai (marketing page)
- https://cloud.google.com/vertex-ai/docs (docs entry point)
- https://console.cloud.google.com/vertex-ai (cloud console)
- https://console.cloud.google.com/vertex-ai/model-garden (all the models)
- https://console.cloud.google.com/vertex-ai/generative (studio / playground)
VertexAI is the umbrella for all of the Google models available through their cloud platform.
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Google Imagen 2
For the peer comments
- https://cloud.google.com/vertex-ai (main page)
- https://cloud.google.com/vertex-ai/docs/start/introduction-u... (docs entry point)
- https://console.cloud.google.com/vertex-ai (cloud console)
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Introducing Gemini: our largest and most capable AI model
Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI.
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How to Use AI/ML Models for Your Projects
Google Cloud Platform (https://cloud.google.com/vertex-ai): Conversely, Google Cloud Platform (GCP) provides a comprehensive suite of AI and machine learning services, including APIs for vision, language, conversation, and structured data analysis. Whether you're analyzing images, interpreting human speech, or diving deep into data patterns, GCP has something for you.
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Create a ChatBot with VertexAI and LibreChat
VertexAI is a machine learning platform available on Google Cloud. It offers a variety of services to train and deploy AI models, including those for Generative AI.
- Tune PaLM 2 with your own RLHF training data
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Any better alternatives to fine-tuning GPT-3 yet to create a custom chatbot persona based on provided knowledge for others to use?
Depending on how much work you want to put into it, you can get started at HuggingFace with their models and datasets, but you'd need compute power, multiple MLOps, etc. I was introduced to the concept in this video, since Google has their Vertex AI tools on Google Cloud, and there's always LangChain but I'm not sure about anything recent.
- Google Cloud Learning Machine
generative-ai-swift
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Gemini API 102: Next steps beyond "Hello World!"
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.
- Gemini 1.5 outshines GPT-4-Turbo-128K on long code prompts, HVM author
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Power your Flutter App with Gemini AI ✨
Get your API Key here
- The Google AI SDK for Swift
What are some alternatives?
mlops-with-vertex-ai - An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Alamofire - Elegant HTTP Networking in Swift
awesome-mlops - A curated list of references for MLOps
open-source-mac-os-apps - 🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
MLflow - Open source platform for the machine learning lifecycle
swift-algorithm-club - Algorithms and data structures in Swift, with explanations!
VevestaX - 2 Lines of code to track ML experiments + EDA + check into Github
ShadowsocksX-NG - Next Generation of ShadowsocksX
jina - ☁️ Build multimodal AI applications with cloud-native stack
open-source-ios-apps - :iphone: Collaborative List of Open-Source iOS Apps
rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Micronaut - Micronaut Application Framework