Category: Artificial Intelligence
296 – Converting keras trained model to ONNX format – Image Classification example
privateGPT
[privateGPT] is a model to questions on local documents without an internet connection, using the power of LLMs. 100% private, no data leaves your execution environment at any point. You can ingest documents and ask questions without an internet connection!
[WebLLM] is a modular, customizable javascript package that directly brings language model chats directly onto web browsers with hardware acceleration. Everything runs inside the browser with no server support and accelerated with WebGPU. We can bring a lot of fun opportunities to build AI assistants for everyone and enable privacy while enjoying GPU acceleration.
[h2oGPT] is a large language model (LLM) fine-tuning framework and chatbot UI with document(s) question-answer capabilities. Documents help to ground LLMs against hallucinations by providing them context relevant to the instruction. h2oGPT is fully permissive Apache V2 open-source project for 100% private and secure use of LLMs and document embeddings for document question-answer.
People say this tool will replace me, so I made a movie with it.
Microsoft Build event in 5 minutes
Bing Chat on Edge – [bing.com/chat]
Introduction to Generative Fill | Adobe Photoshop
Chatbot Arena
Updating TensorFlow on Windows (native)
Caution: TensorFlow 2.10
was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11
, you will need to install TensorFlow in WSL2, or install tensorflow
or tensorflow-cpu
and, optionally, try the TensorFlow-DirectML-Plugin
ChatGPT creates Flappy Bird from scratch in Unity
ML.NET
[ML.NET] is an open source and cross-platform machine learning framework for C#.
[ML.NET – Save and load trained models]
[TensorFlow – Creating C# Applications using TensorFlowSharp]
[tf2onnx] – Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX.
How to learn to code FAST using ChatGPT
You can AUTOMATE machine learning with this package
Keras ImageDataGenerator and Data Augmentation
[Keras ImageDataGenerator and Data Augmentation] – This article goes into the details of using data augmentation to increase your training data sets. By default augmentation just modifies your original dataset. With some small adjustments you can grow the training data as intended.
Learn TensorFlow.js – Deep Learning and Neural Networks with JavaScript
TensorFlow Tutorial 18 – Custom Dataset for Images
Build an Image Classifier in 16 minutes using TensorFlow JS
Policy Gradient Theorem Explained – Reinforcement Learning
Train AI to win at Starcraft and DOTA
How to Run PyTorch Models in the Browser With ONNX.js
[Run PyTorch models in the browser using ONNX.js]
According to this video from 3 years ago, ONNX.js only does interference mode so it can’t do training. It still works if you can do your training in Python and port the trained model over to JS.
Google and Apple vets raise $17M for Fixie, a large language model startup based in Seattle
Announcing a next-generation AI Copilot in Microsoft Power Apps that will transform low-code development
How to Run a ChatGPT Alternative on Your Local PC
Did Corridor Crew Just Change Animation Forever?
Neeva CEO Sridhar Ramaswamy on AI chatbots and the search revolution | E1686
How to Code a Machine Learning Lip Reading App with Python Tensorflow and Streamlit
Stable Diffusion in 5 Levels of Difficulty
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