#ruby #c #jit #language #object_oriented #programming_language #ruby #ruby_language #rust

Ruby is a simple and powerful programming language used for web development and scripting. It has a straightforward syntax and advanced object-oriented features, making it easy to learn and use. Ruby works on many platforms, including Windows, macOS, and Unix-like systems. You can install Ruby using various methods, including downloading from the official website or using Git. The language offers features like exception handling, iterators, and garbage collection, making it highly portable and efficient. This makes Ruby beneficial for users who need a flexible and easy-to-use programming language for various tasks.

https://github.com/ruby/ruby

#python #chatbot #chatbots #chatgpt #chatgpt_4 #chatgpt_api #chatgpt_free #chatgpt4 #free_gpt #gpt #gpt_3 #gpt_4 #gpt3 #gpt4 #gpt4_api #language_model #openai #openai_api #openai_chatgpt #python #reverse_engineering

The `gpt4free` project is a tool that allows you to use various AI models like GPT-3.5 and DALL-E 3 without paying for expensive APIs. Here’s how it helps you It supports multiple AI providers, including OpenAI, Bing, and others, allowing you to choose the best option for your needs.
- **Easy Installation** It includes a web UI that you can access locally, making it easy to interact with the AI models.
- **Customization** The project is open-source and actively maintained by a community of contributors, ensuring continuous improvements and new features.

Overall, `gpt4free` provides a flexible and cost-effective way to leverage advanced AI capabilities.

https://github.com/xtekky/gpt4free

#python #asr #audio #audio_processing #deep_learning #huggingface #language_model #pytorch #speaker_diarization #speaker_recognition #speaker_verification #speech_enhancement #speech_processing #speech_recognition #speech_separation #speech_to_text #speech_toolkit #speechrecognition #spoken_language_understanding #transformers #voice_recognition

SpeechBrain is an open-source toolkit that helps you quickly develop Conversational AI technologies, such as speech assistants, chatbots, and language models. It uses PyTorch and offers many pre-trained models and tutorials to make it easy to get started. You can train models for various tasks like speech recognition, speaker recognition, and text processing with just a few lines of code. SpeechBrain also supports GPU training, dynamic batching, and integration with HuggingFace models, making it powerful and efficient. This toolkit is beneficial because it simplifies the development process, provides extensive documentation and tutorials, and is highly customizable, making it ideal for research, prototyping, and educational purposes.

https://github.com/speechbrain/speechbrain

#v_lang #compiler #language #programming_language #v

The V Programming Language is designed to be simple, fast, and safe. You can learn it in just a weekend. Here are the key benefits V compiles quickly, even faster than some other languages.
- **Performance** V compiles itself in less than a second and supports hot code reloading.
- **Cross-Platform** After version 1.0, V will not have breaking changes, ensuring your code remains stable.

Overall, V makes programming easier, faster, and more reliable.

https://github.com/vlang/v

#python #agent #ai #chatglm #fine_tuning #gpt #instruction_tuning #language_model #large_language_models #llama #llama3 #llm #lora #mistral #moe #peft #qlora #quantization #qwen #rlhf #transformers

LLaMA Factory is a tool that makes it easy to fine-tune large language models. It supports many different models like LLaMA, ChatGLM, and Qwen, among others. You can use various training methods such as full-tuning, freeze-tuning, LoRA, and QLoRA, which are efficient and save GPU memory. The tool also includes advanced algorithms and practical tricks to improve performance.

Using LLaMA Factory, you can train models up to 3.7 times faster with better results compared to other methods. It provides a user-friendly interface through Colab, PAI-DSW, or local machines, and even offers a web UI for easier management. The benefit to you is that it simplifies the process of fine-tuning large language models, making it faster and more efficient, which can be very useful for research and development projects.

https://github.com/hiyouga/LLaMA-Factory

#lua #language_server #language_server_protocol #lsp #neovim #nvim #plugin #vim

nvim-lspconfig is a tool that helps you set up language servers in Neovim, a text editor. It provides default configurations for various language servers, making it easier to get started with features like auto-completion, code formatting, and diagnostics. To use it, you need to install the language server for your programming language and add a few lines of code to your Neovim configuration file. This setup allows you to navigate code more efficiently, fix errors quickly, and write better code. The benefit is that it enhances your coding experience by providing powerful tools directly within your text editor.

https://github.com/neovim/nvim-lspconfig

#zig #compiler #language #zig

Zig is a programming language and toolchain that helps you create robust, optimal, and reusable software. You can easily install it by downloading a pre-built binary or using a package manager, and it works right away without needing a global installation. Zig is flexible; you can build it from source with or without LLVM, making it useful for various development needs. By using Zig for your projects, you contribute to its improvement and can find community support through various social spaces. This makes Zig a powerful and user-friendly tool for software development.

https://github.com/ziglang/zig

#mdx #chatgpt #deep_learning #generative_ai #language_model #openai #prompt_engineering

Prompt engineering helps you use language models more effectively by designing better prompts. This skill is useful for various tasks like question answering, arithmetic reasoning, and coding. With prompt engineering, you can improve how language models perform and understand their capabilities and limitations. There are resources available, such as guides, courses, and tools, to help you learn and apply prompt engineering techniques. These resources include detailed guides, video lectures, and self-paced courses that can enhance your skills and make you more efficient in using language models.

https://github.com/dair-ai/Prompt-Engineering-Guide

#go #go #golang #language #programming_language

Go is a free and open-source programming language that helps you build simple, reliable, and efficient software. You can download and install Go easily from the official website, and there are instructions available if you need to install it from the source code. Go is made better by thousands of contributors, and you can help too by following the contribution guidelines. Using Go benefits you because it makes coding easier and faster, allowing you to create robust programs quickly.

https://github.com/golang/go

#typescript #javascript #language #typechecker #typescript

TypeScript is a special version of JavaScript that helps developers make fewer mistakes by adding optional types. This means you can tell the computer what kind of data each piece of code should handle, like numbers or words. It makes your code easier to read and understand, which helps when working with big projects. TypeScript also catches errors early, so you don't have problems later on. This makes it great for building reliable applications quickly and efficiently.

https://github.com/microsoft/TypeScript

#cplusplus #blockchain #cpp #ethereum #hacktoberfest #language #programming_language #smartcontracts #solidity

Solidity is a programming language used to create smart contracts on the Ethereum platform. It's designed for writing programs that run automatically without anyone controlling them, allowing users to implement tokens, voting systems, and more. Using Solidity benefits developers by providing a familiar syntax similar to C++ and JavaScript, making it easier to learn and use. Additionally, it supports complex data types and inheritance, which are useful for creating sophisticated smart contracts. This helps developers build secure and reliable decentralized applications (dApps) efficiently.

https://github.com/ethereum/solidity

#rust #language_server_protocol #postgres

The Postgres Language Server is a tool that helps developers work better with PostgreSQL databases. It provides features like autocompletion, syntax error highlighting, type-checking, and a linter to ensure your SQL code is correct and efficient. This tool makes it easier to write and manage SQL queries by reducing errors and suggesting improvements. It's available in various formats, such as a VSCode extension and Neovim plugin, making it accessible to different users. By using this tool, developers can write more accurate SQL code faster and improve their overall development experience.

https://github.com/supabase-community/postgres-language-server

#python #agplv3 #education #flashcards #foreign_language #hacktoberfest #hacktoberfest2022 #language_learning #python #second_language_acquisition #spaced_repetition #svelte

LibreLingo is a free, community-driven language-learning platform offering courses like Spanish, German, and French through interactive exercises, spaced repetition, and progress tracking across devices, while allowing users to contribute and modify content for a collaborative learning experience[1][4][5].

https://github.com/kantord/LibreLingo

#rust #code_quality #ide #language #language_server #lsp #python #rust #type_check #type_checker #typecheck #typechecker #types #typing

Pyrefly is a fast tool for checking Python code. It helps catch mistakes before you run your code, making it easier to write reliable programs. Pyrefly can work with both new and old Python projects, even if they don't have type information. It integrates well with editors like VSCode, providing features like auto-completion and code refactoring. This makes coding faster and more efficient, helping you avoid bugs and making your code easier to understand and maintain.

https://github.com/facebook/pyrefly

#jupyter_notebook #ai #artificial_intelligence #chatgpt #deep_learning #from_scratch #gpt #language_model #large_language_models #llm #machine_learning #python #pytorch #transformer

You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4].

https://github.com/rasbt/LLMs-from-scratch

#typescript #ai #chatgpt #docsgpt #hacktoberfest #information_retrieval #language_model #llm #machine_learning #natural_language_processing #python #pytorch #rag #react #semantic_search #transformers #web_app

DocsGPT is an open-source AI tool that helps you quickly find accurate answers from many types of documents and web sources without errors. It supports formats like PDF, DOCX, images, and integrates with websites, APIs, and chat platforms like Discord and Telegram. You can deploy it privately for security, customize it to fit your brand, and connect it to tools for advanced actions. This means you save time searching for information, get reliable answers with sources, and improve productivity whether you’re a developer, support team, or business user. It’s easy to set up and scales well for many users[2][3][4].

https://github.com/arc53/DocsGPT

#elixir #debug_adapter_protocol #elixir #language_server #language_server_protocol #lsp

ElixirLS is a tool that helps you write and debug Elixir code more easily by providing features like code completion, go-to-definition, inline error reporting, and a powerful debugger that supports breakpoints and step-through debugging. It works with many editors and IDEs through standard protocols, making it flexible to use. It also integrates Dialyzer for static code analysis to catch bugs early and offers a server that helps AI tools understand your code better. Using ElixirLS speeds up development, improves code quality, and makes debugging simpler and more efficient. It supports recent Elixir and OTP versions and can be customized for your project needs.

https://github.com/elixir-lsp/elixir-ls

#elixir #elixir #language_server_protocol #lsp

Expert is the official language server for Elixir, helping your code editor understand and work with Elixir code better. You can easily install it by downloading the right version for your system or build it from source if you prefer. Expert supports the latest features through nightly builds and integrates smoothly with your editor, improving coding with features like error checking and code completion. Using Expert makes writing Elixir code faster and less error-prone, boosting your productivity and coding experience. It is open source under Apache License 2.0 and supported by sponsors, ensuring ongoing development and support.

https://github.com/elixir-lang/expert

#python #agent #ai #ai_coding #claude #claude_code #language_server #llms #mcp_server #programming #vibe_coding

Serena is a free, open-source toolkit that turns large language models (LLMs) into powerful coding agents able to work directly on your codebase with IDE-like precision. It uses semantic code analysis to understand code structure and symbols, enabling efficient code search and editing without reading entire files. Serena supports many programming languages and integrates flexibly with various LLMs and development environments via the Model Context Protocol (MCP). This means you can automate complex coding tasks, improve productivity, and reduce costs without subscriptions, making your coding workflow faster and smarter.

https://github.com/oraios/serena

#python #language_models #linux #machine_translation #nlp #open_source #python #transformers #translation

Argos Translate is a free, open-source tool that lets you translate text offline using your own computer. It works as a Python library, command-line tool, or with a graphical interface, and supports many languages. You can install language packages for direct translations, and it can even translate between languages that don’t have a direct package by using a middle language. This means you can translate more language pairs, though the quality might be a little lower. Argos Translate is fast, private, and does not need an internet connection after setup, making it useful for secure or offline translation needs.

https://github.com/argosopentech/argos-translate