vertex-ai-samples
searxng
vertex-ai-samples | searxng | |
---|---|---|
24 | 121 | |
1,358 | 8,351 | |
4.0% | 18.5% | |
9.8 | 9.7 | |
about 20 hours ago | 6 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
searxng
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Mobile Ad Blocker Will No Longer Stop YouTube's Ads
Don't use Youtube without going through a proxy like Invidious [1] or Newpipe
Don't use {site} Search without going through a proxy like SearxNG [2]
Don't use TwiXXer without going through a proxy like Nitter - this has gotten more difficult lately but it still works as long as you feed the daemon some registered accounts. Video does not work at the moment but that seems to be fixable.
Don't use Reddit without going through a proxy like libreddit [4]
Start noticing the pattern? Maybe it is time to start producing promotional posters:
The only thing to come between you and ADS could be a proxy / ADS. I'ts just not worth the risk
ADS / New rules for a sane net / Sane net protects you, your partner and your community
A proxy here and a filter there, ADS nowhere
The more you tighten your grip, ${site}, the more viewers will slip through your fingers
[1] https://github.com/iv-org/invidious
[2] https://github.com/searxng/searxng
[3] https://github.com/zedeus/nitter
[4] https://github.com/libreddit/libreddit
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DuckDuckGo Privacy Pro
privacy-focused metasearch engines, like SearXNG[1] and 4get[2], should be considered more comprehensive and private than any one index or engine.
[1]https://docs.searxng.org/
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SearXNG is a free internet metasearch engine
Global configuration for an instance:
https://github.com/searxng/searxng/blob/f1a148f53e9fbd10e95b...
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Google will start showing AI-powered search results for users who didn't opt-in
I would recommend https://github.com/searxng/searxng
One of my biggest gripes with Google search these days are it's bad UI. Started using searxng a few years ago when Google made everything above the fold useless videos and dynamically poping in content to accedently click.
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Google search is losing the fight with SEO spam
Use a meta-search engine like SearXNG [1] and point it at Google/DDG/Brave/Bing/... and you'll be spared the mediocrity that is all those sponsored results, the profiling, the personalised results (which I consider to be a good thing to leave out, others may disagree) and you'll also start noticing which engine remains quiet on certain queries. You can easily run SearXNG yourself on that same SBC which you got to run your own mail and XMPP server [2], it doesn't take much (if any) maintenance and can - with the Recoll engine - also be used to search your own network.
Source: I've been doing this for years and made the Recoll engine for SearX.
[1] https://github.com/searxng/searxng
[2] https://news.ycombinator.com/item?id=39052731
- SearXNG – Metasearch Engine, 60 Instances
- So I deployed Whoogle on my NAS....
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What search engine do you use?
Recently I came across SearXNG, it's a privacy respecting search engine Aggregator. Amazing tool. Worth checking : https://docs.searxng.org
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Kagi finally let me lay Google Search to rest
I would first try SearXNG[0].
0. https://github.com/searxng/searxng
- Welcome to SearXNG
What are some alternatives?
mlops-with-vertex-ai - An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Searx - Privacy-respecting metasearch engine
awesome-mlops - A curated list of references for MLOps
whoogle-search - A self-hosted, ad-free, privacy-respecting metasearch engine
MLflow - Open source platform for the machine learning lifecycle
searx-instances - SearXNG instances list
VevestaX - 2 Lines of code to track ML experiments + EDA + check into Github
searx - Privacy-respecting metasearch engine [Moved to: https://github.com/searx/searx]
jina - ☁️ Build multimodal AI applications with cloud-native stack
elasticsearch-py - Official Python client for Elasticsearch
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
Yacy - Distributed Peer-to-Peer Web Search Engine and Intranet Search Appliance