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This page is a timeline of machine learning. Major discoveries, achievements, milestones and other major events in machine learning are included. Overview.
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.
If the template has a separate documentation page (usually called "Template:template name/doc"), add [[Category:Graphical timeline templates]] to the <includeonly> section at the bottom of that page.
In April 2023, Huawei released a paper detailing the development of PanGu-Σ, a colossal language model featuring 1.085 trillion parameters. Developed within Huawei's MindSpore 5 framework, PanGu-Σ underwent training for over 100 days on a cluster system equipped with 512 Ascend 910 AI accelerator chips, processing 329 billion tokens in more than 40 natural and programming languages.
This is a category of templates that generate timelines. A few of them are a specific timeline used in one article context. Others are parameterizable templates, used to generate a particular type of timeline visualization, in multiple contexts.
On May 28, 2020, an arXiv preprint by a group of 31 engineers and researchers at OpenAI described the achievement and development of GPT-3, a third-generation "state-of-the-art language model". [ 1 ] [ 12 ] The team increased the capacity of GPT-3 by over two orders of magnitude from that of its predecessor, GPT-2, [ 13 ] making GPT-3 the ...
The development of recursive self-improvement raises significant ethical and safety concerns, as such systems may evolve in unforeseen ways and could potentially surpass human control or understanding. There has been a number of proponents that have pushed to pause or slow down AI development for the potential risks of runaway AI systems. [3] [4]
As the saying goes: a picture often tells more than a thousand words. This is certainly true for graphical timelines. A detailed listing of events and dates in tabular form may offer the reader a lot of specifics, but may fail to provide an overview, a grand perspective. From June 1, 2004 there is a wiki way to compose graphical time charts ...