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Thoughts on Elixir, Phoenix and LiveView after 18 months of commercial use. #article#elixir @thedevs https://thedevs.link/u1toL1

https://www.analyticsvidhya.com/blog/2016/08/deep-learning-path/?utm_content=bufferd56c5&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer #Deep_Learning, a prominent topic in #Artificial_Intelligence domain, has been in the spotlight for quite some time now. It is especially known for its breakthroughs in fields like Computer Vision and Game playing (Alpha GO), surpassing human ability. Since the last survey, there has been a drastic increase in the trends. (click here to check out the survey) Here is what Google trends shows us:

https://django-ai.readthedocs.io/en/latest/readme.html #Artificial_Intelligence for #Django django-ai is a collection of apps for integrating statistical models into your Django project so you can implement #Machine_Learning conveniently.

Benchmarking Go vs Node vs Elixir. #article#go#nodejs#elixir @thedevs https://kutt.it/WVQyLq

https://github.com/spotify/luigi Writing batch jobs is generally only one part of processing heaps of data; you also have to string all the jobs together into something resembling a #workflow or a #pipeline. #Luigi, created by Spotify and named for the other plucky plumber made famous by Nintendo, was built to "address all the plumbing typically associated with long-running batch processes." With Luigi, a developer can take several different unrelated data processing tasks — "a Hive query, a Hadoop job in Java, a Spark job in Scala, dumping a table from a database" — and create a workflow that runs them, end to end. The entire description of a job and its dependencies are created as Python modules, not as XML config files or another data format, so it can be integrated into other Python-centric projects. #Machine_learning

Maid - Mobile Artificial Intelligence Distribution Maid is a cross-platform free and an open-source application for interfacing with llama.cpp models locally, and remotely with Ollama, Mistral, Google Gemini and OpenAI models remotely. -Choose from A wide range of models that runs LOCALLY and access remote models via api key! -Text based output -Image Generation (Selected Models only) -No video or short clips generation yet -Voice generation on selected models (Not tested) -Setting model parameters -Setting system prompt (Making the model behave/generate output in a certain way). -And more. Get it on Github - https://github.com/Mobile-Artificial-Intelligence/maid/releases/latest Fdroid - https://f-droid.org/packages/com.danemadsen.maid/ Spystore - https://play.google.com/store/apps/details?id=com.danemadsen.maid *Don't clear CACHE OF THE APP AND EXCLUDE IT FROM SYSTEM'S AUTO CACHE CLEANING as app stores everything in device cache* Follow @nogoolag and @libreware for more #ai

Cherry Studio Cherry Studio is a desktop client for Windows, Mac and Linux, which supports many LLM providers, including large cloud services and local models. Among its main functions is the ability to work with more than 300 pre -designed #AI assistants, the creation of custom assistants, as well as support for various formats of documents, including text, images and office files. The application offers tools for global search, top management and translating, which significantly improves interaction with the user thanks to the cross -platform and many settings options. https://github.com/cherryhq/cherry-studio

LibreChat AI Open-source platform that allows users to chat and interact with various #AI models through a unified interface. You can use OpenAI, Gemini, Anthropic and other AI models using their API. You may also use Ollama as an endpoint and use LibreChat to interact with local LLMs. It can be installed locally or deployed on a server. LibreChat is designed to be highly customizable and supports a wide range of AI providers and services. Let me summarize its main features: Free and Open Source: Accessible to everyone without any costs. Customization: Offers extensive options to tailor the platform to individual preferences. Multi-AI Support: Integrates with numerous AI models and services. Unified Interface: Provides a consistent experience for interacting with different AI models. https://www.librechat.ai https://itsfoss.com/librechat-linux/

Jan.ai https://jan.ai A platform that enables you to run self-hosted local #AI. Jan provides an OpenAI-equivalent API server at localhost:1337 that can be used as a drop-in replacement with compatible apps. With Jan, you can: -Run open-source LLMs locally or connect to cloud AIs like ChatGPT or Google. -Search the web and databases. Integrate AI with everyday tools to work on your behalf (with permission). -Customize and add features with Extensions. Jan is opinionated software about what AI should be.

http://codeinpython.com/tutorials/deep-learning-tensorflow-keras-pytorch/?nonamp=1 Deep Learning #Tensorflow vs #Keras vs #PyTorch #Deep_learning is the application of artificial #neural_networks (ANNs) to learn tasks. These tasks contain more than one hidden layer. Deep learning is part of a broader family of #machine_learning. Machine learning itself is a part of #Artificial_Intelligence(#AI).