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LangChain was launched in October 2022 as an open source project by Harrison Chase, while working at machine learning startup Robust Intelligence. The project quickly garnered popularity, [3] with improvements from hundreds of contributors on GitHub, trending discussions on Twitter, lively activity on the project's Discord server, many YouTube tutorials, and meetups in San Francisco and London.
Fooocus is an open source generative artificial intelligence program that allows users to generate images from a text prompt. [ 3 ] [ 4 ] It uses Stable Diffusion XL as the base model for its image capabilities as well as a collection of default settings and prompts to make the image generation process more streamlined.
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom.
The model was made available on December 15, 2022, with the code also freely available on GitHub. [2] It is one of many models derived from Stable Diffusion. [4] Riffusion is classified within a subset of AI text-to-music generators. In December 2022, Mubert [6] similarly used Stable Diffusion to turn descriptive text into music loops. In ...
This is achieved by prompting the text encoder with class names and selecting the class whose embedding is closest to the image embedding. For example, to classify an image, they compared the embedding of the image with the embedding of the text "A photo of a {class}.", and the {class} that results in the highest dot product is outputted.
After the MVP release, WebAssembly added support for multithreading and garbage collection (WasmGC, and web browsers including Safari have added support for it), [56] which allowed more efficient compilation for garbage-collecting programming languages like C# (supported via Blazor), F# (supported via Bolero [57] with help of Blazor) and Python.
Embedding vectors created using the Word2vec algorithm have some advantages compared to earlier algorithms [1] such as those using n-grams and latent semantic analysis. GloVe was developed by a team at Stanford specifically as a competitor, and the original paper noted multiple improvements of GloVe over word2vec. [ 9 ]
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]