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llama.cpp is an open source software library that performs inference on various large language models such as Llama. [3] It is co-developed alongside the GGML project, a general-purpose tensor library.
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.
Java gained popularity shortly after its release, and has been a popular programming language since then. [18] Java was the third most popular programming language in 2022 according to GitHub. [19] Although still widely popular, there has been a gradual decline in use of Java in recent years with other languages using JVM gaining popularity. [20]
The OpenCL standard defines host APIs for C and C++; third-party APIs exist for other programming languages and platforms such as Python, [14] Java, Perl, [15] D [16] and .NET. [ 11 ] : 15 An implementation of the OpenCL standard consists of a library that implements the API for C and C++, and an OpenCL C compiler for the compute devices targeted.
Java, Python: Swing: Open core: Full version under Apache License 2.0: Yes Yes Yes Unknown Yes Yes (full version only) Yes (full version only) Yes Yes PEP 8 and others Yes Yes Yes Yes Yes PyDev / LiClipse (plug-in for Eclipse and Aptana) Appcelerator: 7.5.0 2020-01-10 Windows, Linux, macOS, FreeBSD, JVM, Solaris: Python: SWT: EPL: Yes Yes
Code Llama is a fine-tune of LLaMa 2 with code specific datasets. 7B, 13B, and 34B versions were released on August 24, 2023, with the 70B releasing on the January 29, 2024. [29] Starting with the foundation models from LLaMa 2, Meta AI would train an additional 500B tokens of code datasets, before an additional 20B token of long-context data ...
Tiered compiling, an option introduced in Java 7, uses both the client and server compilers in tandem to provide faster startup time than the server compiler, but similar or better peak performance. [9] Starting in Java 8, tiered compilation is the default for the server VM. [10] HotSpot is written in C++ and Assembly.
This is an accepted version of this page This is the latest accepted revision, reviewed on 3 March 2025. British video game designer This article's lead section may be too short to adequately summarize the key points. Please consider expanding the lead to provide an accessible overview of all important aspects of the article. (February 2015) Jeff Minter Minter at the Game Developers Conference ...