vertex-ai-samples
vault-ai
vertex-ai-samples | vault-ai | |
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24 | 80 | |
1,358 | 3,225 | |
4.0% | - | |
9.8 | 5.7 | |
about 21 hours ago | 9 months ago | |
Jupyter Notebook | JavaScript | |
Apache License 2.0 | MIT License |
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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
vault-ai
- I built an open source website that lets you upload large files, such as in-depth novels/ebooks or academic papers, and ask GPT4 questions based on your specific knowledge base. So far, I've tested it with long books like the Odyssey and random research PDFs, and I'm shocked at how incisive it is.
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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?
There's this GitHub repo for Pinecone Vector with custom knowledge base: VaultAI. But I'm sure the costs would be exorbitant at scale. Basically trains it on specific files, but the API is expensive as expected. Edit: I didn't read and thought you were talking about training your own, sorry. But I'll leave the second paragraph up anyways lol. Someone mentioned LLaMA and another Falcon, the latter of which I hadn't heard of but which looks good too.
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I built an open source website that lets you upload large files such as academic PDFs or books and ask ChatGPT questions based on your custom knowledge base. So far, I've tried it with long ebooks like Plato's Republic, old letters, and random academic PDFs, and it works shockingly well.
Check out the instructions readme here! You may need a little bit of command line know-how but chatgpt can help guide you if you provide it the contents of the readme
- Are there any good free GPT-powered AI summarizer for very long text?
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I built an open source website that lets you upload large files, such as long ebooks or academic papers, and ask ChatGPT questions about your specific knowledge base. So far, I've tested it with long e-books like the Odyssey and random research PDFs, and I'm shocked at how incisive it is
Yes, this use-case is a perfect fit actually – This deals very well with any type of manual with lots of human readable text (as opposed to charts or code). It is also better at answering more specific questions, so the example you gave regarding diagnosing engine issues is a really good match for what this is capable of. If you want to try it out you can check out the deployed version of the code here: https://vault.pash.city
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Any help condensing academic journal articles using ChatGPT?
Have you tried Vault AI? Saw it pop up on a couple of other Reddits!
- OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
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April 2023
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (https://github.com/pashpashpash/vault-ai)
- Using ChatGPT to read multiple PDFs and create writing using them as sources
What are some alternatives?
mlops-with-vertex-ai - An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
paper-qa - LLM Chain for answering questions from documents with citations
awesome-mlops - A curated list of references for MLOps
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
MLflow - Open source platform for the machine learning lifecycle
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
VevestaX - 2 Lines of code to track ML experiments + EDA + check into Github
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
jina - ☁️ Build multimodal AI applications with cloud-native stack
AGiXT - AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
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
ChatGPT-Pokemon-StyleGame - Using ChatGPT to make pokemon style game