Alternatives to Code Llama

Cody is a coding assistant AI that lives inside your editor. It can find, explain and write code. Cody combines Large Language Models (LLMs), Sourcegraph Search, and Sourcegraph Code Intelligence to provide answers and eliminate toil for human programmers. Cody is your programmer friend who has read all the open source code, all the StackOverflow questions, and all the private code of your organization. He will always be there to answer any questions or suggest solutions based on his prior knowledge. Enterprises love Cody because it provides choice for: Any scale - Cody works for developer teams of any size, from startups to the biggest companies in the world. Any code host - Every code host and repository, to give the most accurate context from the largest codebases. Any LLM - Sourcegraph’s interoperability allows Cody to work with what LLM and context sources are best for your organization.

Codeium is the modern code superpower. It's a free AI-powered code acceleration toolkit. Codeium currently provides AI-generated autocomplete in more than 20 programming languages (including Python and JS, Java, TS, Java and Go) and integrates directly to the developer's IDE (VSCode, JetBrains or Jupyter notebooks. Colab, Vim / Neoovim, etc. Codeium generates multiline code suggestions in a matter of seconds. This will eliminate the need to search for APIs and documentation, write boilerplate and unit test scripts, and many other tedious or frustrating tasks. Codeium is a training platform that allows you to quickly develop on billions of lines. It also helps you stay in the flow and lets you become the best coder you can be.

ML-powered coding companion makes it easier to build apps faster. Automated code recommendations based upon your code and comments in your editor will accelerate application development. Developers can use artificial intelligence (AI), responsibly, to create secure and syntactically correct applications. Generate complete functions and logical blocks of code without the need to search for and customize code snippets on the internet. With real-time personalized code recommendations for Java, Python, or JavaScript projects, you can stay focused and not leave the IDE. Amazon CodeWhisperer, powered by machine learning (ML), helps developers improve their productivity by generating code recommendations based upon their comments in natural languages and code in the integrated developmental environment (IDE). Automatic code recommendations empower developers to accelerate frontend and backend development. CodeWhisperer can generate code to build and train ML models.

Available in more than 20 programming languages, including Python, JavaScript and TypeScript, Ruby, TypeScript, Go, Ruby and many others. BLACKBOX AI code search was created so that developers could find the best code fragments to use when building amazing products. Integrations with IDEs include VS Code and Github Codespaces. Jupyter Notebook, Paperspace, and many more. C#, Java, C++, C# and SQL, PHP, Go and TypeScript are just a few of the languages that can be used to search code in Python, Java and C++. It is not necessary to leave your coding environment in order to search for a specific function. Blackbox allows you to select the code from any video and then simply copy it into your text editor. Blackbox supports all programming languages and preserves the correct indentation. The Pro plan allows you to copy text from over 200 languages and all programming languages.

K.Explorer is an AI system that creates better software faster, cheaper, and more efficiently. A coding assistant that increases developer productivity. An AI pair programmer that suggests code completions and complete function bodies as you type. You can also search the engine for help. It is an AI-powered Code Assistant that has been trained on millions of lines of code from private corporations, as well as billions of lines of open-source code for general purposes. Natural Language allows programmers to receive guidance and tell a text story about what code they are writing.

StarCoderBase and StarCoder are Large Language Models (Code LLMs), trained on permissively-licensed data from GitHub. This includes data from 80+ programming language, Git commits and issues, Jupyter Notebooks, and Git commits. We trained a 15B-parameter model for 1 trillion tokens, similar to LLaMA. We refined the StarCoderBase for 35B Python tokens. The result is a new model we call StarCoder. StarCoderBase is a model that outperforms other open Code LLMs in popular programming benchmarks. It also matches or exceeds closed models like code-cushman001 from OpenAI, the original Codex model which powered early versions GitHub Copilot. StarCoder models are able to process more input with a context length over 8,000 tokens than any other open LLM. This allows for a variety of interesting applications. By prompting the StarCoder model with a series dialogues, we allowed them to act like a technical assistant.

Your AI pair programmer. GitHub Copilot allows you to get suggestions for entire lines or entire functions from your editor. GitHub Copilot is a program that has been trained on billions upon billions of lines public code. It saves you time and helps you stay focused. GitHub Copilot is now available as a Visual Studio Code Extension. It works on any Visual Studio Code platform, on your computer or in the cloud at GitHub Codespaces. It's easy to use and fast enough that you can type as you type. GitHub Copilot is compatible with a wide range of languages and frameworks. The technical preview works especially well with Python, TypeScript Ruby, Ruby, and Go. However, it can also understand dozens of languages and help you navigate almost any situation. You are always in control with GitHub Copilot. You can choose from a variety of suggestions, accept or reject them, and edit the code manually. GitHub Copilot adapts according to your coding style and makes edits.

The next generation of the large language model. This release includes modelweights and starting code to pretrained and fine tuned Llama languages models, ranging from 7B-70B parameters. Llama 1 models have a context length of 2 trillion tokens. Llama 2 models have a context length double that of Llama 1. The fine-tuned Llama 2 models have been trained using over 1,000,000 human annotations. Llama 2, a new open-source language model, outperforms many other open-source language models in external benchmarks. These include tests of reasoning, coding and proficiency, as well as knowledge tests. Llama 2 has been pre-trained using publicly available online data sources. Llama-2 chat, a fine-tuned version of the model, is based on publicly available instruction datasets, and more than 1 million human annotations. We have a wide range of supporters in the world who are committed to our open approach for today's AI. These companies have provided early feedback and have expressed excitement to build with Llama 2

ChatGPT is an OpenAI language model. It can generate human-like responses to a variety prompts, and has been trained on a wide range of internet texts. ChatGPT can be used to perform natural language processing tasks such as conversation, question answering, and text generation. ChatGPT is a pretrained language model that uses deep-learning algorithms to generate text. It was trained using large amounts of text data. This allows it to respond to a wide variety of prompts with human-like ease. It has a transformer architecture that has been proven to be efficient in many NLP tasks. ChatGPT can generate text in addition to answering questions, text classification and language translation. This allows developers to create powerful NLP applications that can do specific tasks more accurately. ChatGPT can also process code and generate it.

We've developed a model, called ChatGPT, that interacts in a conversational manner. ChatGPT can use the dialogue format to answer questions, admit mistakes, challenge incorrect premises and reject inappropriate requests. ChatGPT is the sibling model of InstructGPT. InstructGPT is trained to follow a prompt, and then provide a detailed answer. ChatGPT Plus, a subscription plan to ChatGPT, a conversational AI. ChatGPT Plus is $20/month and subscribers receive a variety of benefits. - ChatGPT is available to all users, even at peak times - Faster response time Access to GPT-4 ChatGPT plugins Chat with Web-browsingGPT - Priority access for new features and improvements ChatGPT Plus will be available to all customers in the United States. We will begin inviting people on our waitlist within the next few weeks. We plan to extend access and support to other countries and regions in the near future.

We are proud to introduce Codestral, the first code model we have ever created. Codestral is a generative AI model that is open-weight and specifically designed for code generation. It allows developers to interact and write code using a shared API endpoint for instructions and completion. It can be used for advanced AI applications by software developers as it is able to master both code and English. Codestral has been trained on a large dataset of 80+ languages, including some of the most popular, such as Python and Java. It also includes C, C++ JavaScript, Bash, C, C++. It also performs well with more specific ones, such as Swift and Fortran. Codestral's broad language base allows it to assist developers in a variety of coding environments and projects.

This repository contains a research preview of LongLLaMA. It is a large language-model capable of handling contexts up to 256k tokens. LongLLaMA was built on the foundation of OpenLLaMA, and fine-tuned with the Focused Transformer method. LongLLaMA code was built on the foundation of Code Llama. We release a smaller base variant of the LongLLaMA (not instruction-tuned) on a permissive licence (Apache 2.0), and inference code that supports longer contexts for hugging face. Our model weights are a drop-in replacement for LLaMA (for short contexts up to 2048 tokens) in existing implementations. We also provide evaluation results, and comparisons with the original OpenLLaMA model.

LLaMA (Large Language Model meta AI) is a state of the art foundational large language model that was created to aid researchers in this subfield. LLaMA allows researchers to use smaller, more efficient models to study these models. This furtherdemocratizes access to this rapidly-changing field. Because it takes far less computing power and resources than large language models, such as LLaMA, to test new approaches, validate other's work, and explore new uses, training smaller foundation models like LLaMA can be a desirable option. Foundation models are trained on large amounts of unlabeled data. This makes them perfect for fine-tuning for many tasks. We make LLaMA available in several sizes (7B-13B, 33B and 65B parameters), and also share a LLaMA card that explains how the model was built in line with our Responsible AI practices.

Codey accelerates the software development process with real-time code generation and completion, customized to a client's codebase. This code generation model is compatible with 20+ coding language, including Go, Google Standard SQL (GSS), Java, Javascript and Python. It allows developers to perform a wide range of coding tasks. This helps them work faster and close skill gaps by: Code completion: Codey suggests a few lines of code based on context. Code generation: Codey creates code using natural language prompts provided by a developer. Code chat: Codey allows developers to converse with a robot for help with debugging and documentation, learning new concepts and other code-related issues.

StableCode is a unique tool that helps developers become more efficient in their coding by using three models. The base model was trained first on a diverse collection of programming languages using the stack-dataset from BigCode, and then further trained with popular languages such as Python, Go, Java, Javascript, C, markdown and C++. We trained our models using 560B tokens on our HPC Cluster. After the base model was established, the instruction models were tuned for specific usecases to help solve complex programming problems. To achieve this result, 120,000 code instructions/response pair in Alpaca format was trained on the base. StableCode is a great tool for anyone who wants to learn more about programming. The long-context model is a great assistant for ensuring that autocomplete suggestions for single- and multiple-line input are available to the user. This model was designed to handle a large amount of code at once.

Turn your questions into code. Your snippets can be easily stored and retrieved. Collaborate with your colleagues. ChatGPT and our fine-tuned GPT3 models are able to power this collaboration. To improve your knowledge, gain a deeper understanding and appreciation of your code. Our refactoring and debug options will improve the quality of your code. You can securely share code snippets without losing formatting. ChatGPT and our fine-tuned GPT3 Model provide faster and more accurate answers to your questions than Codex apps. With a click, you can create documentation, refactor, debug and generate code. Our AI model is based on GPT3 and provides faster and more accurate answers to your questions than Codex apps. Our VSCode extension allows you to save your code directly from your IDE into your library. Search for snippets by name, language, or folder. You can create your own folder structure to meet your needs. ChatGPT and our fine-tuned GPT3 Model provide faster and more precise responses.

Vicuna-13B, an open-source chatbot, is trained by fine-tuning LLaMA using user-shared conversations from ShareGPT. Vicuna-13B's preliminary evaluation using GPT-4, as a judge, shows that it achieves a quality of more than 90%* for OpenAI ChatGPT or Google Bard and outperforms other models such as LLaMA or Stanford Alpaca. Vicuna-13B costs around $300 to train. The online demo and the code, along with weights, are available to non-commercial users.

PygmalionAI, a community of open-source projects based upon EleutherAI’s GPT-J 6B models and Meta’s LLaMA model, was founded in 2009. Pygmalion AI is designed for roleplaying and chatting. The 7B variant of the Pygmalion AI is currently actively supported. It is based on Meta AI’s LLaMA AI model. Pygmalion's chat capabilities are superior to larger language models that require much more resources. Our curated datasets of high-quality data on roleplaying ensure that your bot is the best RP partner. The model weights as well as the code used to train the model are both open-source. You can modify/re-distribute them for any purpose you like. Pygmalion and other language models run on GPUs because they require fast memory and massive processing to produce coherent text at a reasonable speed.

Stability AI, in collaboration with its CarperAI Lab, is proud to announce FreeWilly1 (and its successor FreeWilly2), two powerful, new Large Language Models. Both models show exceptional reasoning abilities across a variety of benchmarks. FreeWilly1 leverages the original LLaMA 65B foundation model and was carefully fine-tuned with a new synthetically-generated dataset using Supervised Fine-Tune (SFT) in standard Alpaca format. FreeWilly2 uses the LLaMA 70B foundation model in order to achieve a performance that is comparable with GPT-3.5 on some tasks. The FreeWilly models were inspired by Microsoft's "Orca: Progressive Learning from Complex Explanation traces of GPT-4" paper. While our data generation processes are similar, our data sources differ.

AI-generated code recommendations allow hybrid cloud developers to write code at any level of experience. What if you were able to translate plain text into code? IBM watsonx code assistant allows you to do that. IBM watsonx.ai Foundation Models (FM) power IBM watsonx.ai Code Assistant, which makes it easier to write code by AI-generated suggestions. This brings the power of IT automation into your organization, making it a strategic and accessible asset for all users, not just subject matter experts. This means that code is automatically suggested to developers based on inputs in natural language. IBM watsonx code assistant is infused watsonx.aiFMs that were purpose-built and created with deployment efficiency and organization standards and best practices in mind.

Codex is proficient in more than a dozen programming language and can now interpret simple commands using natural language and execute them for the user. This makes it possible to create a natural language interface for existing applications. Through our API, we are inviting developers and businesses to build on OpenAI Codex. OpenAI Codex is a descendant from GPT-3. Its training data includes both natural language and billions upon billions of lines (including code in public GitHub repositories). OpenAI Codex excels in Python but is also proficient in more than a dozen languages, including JavaScript and Swift, Perl, PHP and Ruby, as well as TypeScript and Shell. It has a memory of 14KB to store Python code, while GPT-3 has only 4KB. This means it can handle more contextual information than GPT-3 and perform any task with 3x the speed.

Introducing MPT-7B - the latest addition to our MosaicML Foundation Series. MPT-7B, a transformer that is trained from scratch using 1T tokens of code and text, is the latest entry in our MosaicML Foundation Series. It is open-source, available for commercial purposes, and has the same quality as LLaMA-7B. MPT-7B trained on the MosaicML Platform in 9.5 days, with zero human interaction at a cost $200k. You can now train, fine-tune and deploy your private MPT models. You can either start from one of our checkpoints, or you can start from scratch. For inspiration, we are also releasing three finetuned models in addition to the base MPT-7B: MPT-7B-Instruct, MPT-7B-Chat, and MPT-7B-StoryWriter-65k+, the last of which uses a context length of 65k tokens!

Instruction-following models such as GPT-3.5 (text-DaVinci-003), ChatGPT, Claude, and Bing Chat have become increasingly powerful. These models are now used by many users, and some even for work. However, despite their widespread deployment, instruction-following models still have many deficiencies: they can generate false information, propagate social stereotypes, and produce toxic language. It is vital that the academic community engages in order to make maximum progress towards addressing these pressing issues. Unfortunately, doing research on instruction-following models in academia has been difficult, as there is no easily accessible model that comes close in capabilities to closed-source models such as OpenAI's text-DaVinci-003. We are releasing our findings about an instruction-following language model, dubbed Alpaca, which is fine-tuned from Meta's LLaMA 7B model.

CodeGen is a model for program synthesis that is open-source. Trained on TPU v4. OpenAI Codex is competitive with TPU-v4.

We have just launched the X1 large model series. Giga ML’s most powerful model can be used for pre-training, fine-tuning and on-prem deployment. We are Open AI compliant, so your existing integrations, such as long chain, llama index, and others, will work seamlessly. You can continue to pre-train LLM's using domain-specific databooks or docs, or company documents. The world of large-scale language models (LLMs), which offer unprecedented opportunities for natural language process across different domains, is rapidly expanding. Despite this, there are still some critical challenges that remain unresolved. Giga ML proudly introduces the X1 Large model 32k, a pioneering LLM solution on-premise that addresses these critical challenges.

CodePal will be your ultimate coding partner. It is a comprehensive platform with a variety of tools and coding helpers to assist developers. It's great for students, newbies, experienced developers, or companies that want to improve their process of development. The free plan gives you access to all tools and helpers but has some limitations. This is a great option for those who want to test out CodePal. AI Code Generators can perform a wide range of tasks including programming, applying transformations and manipulating the code. AI Code Generators can be very helpful for learning as they give a good understanding of how to write the task in code. Code generation is possible with many different languages, such as Java, C# Python and TypeScript. The choice of programming languages will often depend on specific project needs, as well as available code generation tools and frameworks.

CodeGeeX is a multilingual, large-scale code generation model that has 13 billion parameters. It was pre-trained on a large code corpus with more than 20 languages. We create a VS Code extension (search CodeGeeX in the Extension Marketplace) to assist with programming different programming languages. Besides the multilingual code generation/translation abilities, we turn CodeGeeX into a custom programming assistant using its few-shot ability. CodeGeeX will generate codes according to the examples you provide. This ability can be used to implement cool features such as code explanation, summarization, generation using specific coding styles, and many more. CodeGeeX can generate codes in a similar fashion by adding code snippets that are consistent with one's coding style. To inspire CodeGeeX, you can also use prompts in specific formats.

Human intelligence is able to solve unexpected problems by applying critical thinking and experience. Although machine learning has made great strides in understanding and generating textual data, the machine learning community still faces challenges in problem solving. These include simple maths and programming problems or retrieving and copying existing solutions. DeepMind's mission is to solve intelligence. We created AlphaCode, a computer program that can write computer programs at a competitive level. AlphaCode was able to rank among the top 54% of programmers in programming competitions. It solved new problems that required a combination logic, logic, algorithms and natural language understanding. AlphaCode uses transformer-based language modeling to generate code on an unprecedented scale. Then, it intelligently filters to a select few promising programs.

The AI-Powered Python and JavaScript Generator/Debugger/Tutor. In seconds, you can become a professional coder. Instantly generate code of the highest level. You just need to type in what you want, run the program and bam! The Whizzy AI model will calculate your request and generate code in an editable window so you can customize it. CodeEngine is a powerful integrated IDE that will run your Python code, generate outputs and plots seamlessly. ScriptRepo makes it easy to save your favorite creations. We'll keep your creations safe so you can return to them at any time. Limited availability. Now is the time to secure your personalized AI-Powered Python Code generator tool.

ChatGPT Enterprise is the most powerful version yet, with enterprise-grade security and privacy. 1. Training models do not use customer prompts or data 2. Data encryption in transit and at rest (TLS 1.2+). 3. SOC 2 compliant 4. Easy bulk member management and dedicated admin console 5. SSO and Domain Verification 6. Use the analytics dashboard to understand usage 7. Access to GPT-4 Advanced Data Analysis and GPT-4 at high speed is unlimited 8. 32k token context window for 4X longer inputs, memory and inputs 9. Shareable chat templates to help your company collaborate

Suggestions reflect APIs and coding pattern in your company's software so that your team can use them on your actual work. Fast inference, 3x faster than competitors, built on the latest techniques, including custom GPU Kernels, keeps developers in flow. Our custom AI models tuned to code avoid hallucinations, and improve code quality as well as productivity. Improve the use of internal best practice from your senior engineers. Codebase awareness is important for daily tasks, new developer training, code review and more. Our architecture is designed for tenant isolation and built to protect your IP. It's already SOC-2 Type 1 certified and pen-test verified.

AIWriter is the ultimate solution to all your content creation requirements. Our advanced AI technology, which includes GPT-3 and GPT-4 languages models, allows you to create high-quality, multilingual content with ease. Our platform includes a number of features including AI Text Generation (AI Text), AI Image Generation (AI Image Generation), AI Coding Generation (AI Coding Generation), and Speech to Text. Choose from a variety of specialized bots, or use our templates to create articles, blogs, advertisements, and more. You'll never run short of ideas with the different templates for content creation. AI-generated topic ideas and outlines provide endless inspiration for content creation. You can create unique images with our Stable Diffusion Solution by simply describing them. Our AI code generator allows developers to generate code more quickly and with greater accuracy. AIWriter is not only a tool for content creation, but also offers a referral program to earn passive income.

Discover the AI Pair Programming Extension for VSCode. Create your own AI Copilots using the Playground. Unleash new AI apps with the API. Unlock the Power Your Own AI Agents - Integrate Personalized Context & Knowledge Across All Coding Languages. You can easily train your AI Copilot using your own files on the Playground. Create and Share a Copilot within 5 Minutes or achieve Custom AI Copilot Solutions through the API A free extension that enhances coding skills by using code completion and chat assistant. Download the extension, enter your API key and begin AI-coding for FREE. Solution enhanced that allows AI agents to be created with context-specific information. You can create your own AI copilots, and integrate them wherever you like! API connection for AI-powered apps that handle all the complexities involved in fine-tuning LLMs. You can focus on the creative process without worrying about the technical issues.

Code for CodeT5, A new pre-trained encoder/decoder model that is code-aware. Identifier-aware pre-trained encoder/decoder models. This is the official PyTorch version of the EMNLP paper 2021 from Salesforce Research. CodeT5-large ntp-py was optimized for Python code generation and used as the foundation model in our CodeRL. This yielded new SOTA results for the APPS Python Competition-Level Program Synthesis benchmark. This repository contains the code to reproduce the experiments in CodeT5. CodeT5 is an encoder-decoder pre-trained model for programming language, which has been pre-trained with 8.35M functions from 8 programming languages: Python, Java, JavaScript PHP, Ruby Go, C#, C, and C#. It achieves the best results in a benchmark for code intelligence - CodeXGLUE. Generate code from the natural language description.

Aya is an open-source, state-of-the art, massively multilingual large language research model (LLM), which covers 101 different languages. This is more than twice the number of languages that are covered by open-source models. Aya helps researchers unlock LLMs' powerful potential for dozens of cultures and languages that are largely ignored by the most advanced models available today. We open-source both the Aya Model, as well as the most comprehensive multilingual instruction dataset with 513 million words covering 114 different languages. This data collection contains rare annotations by native and fluent speakers from around the world. This ensures that AI technology is able to effectively serve a global audience who have had limited access up until now.

Koala is a bot that has been trained by fine-tuning Meta’s LLaMA using dialogue data gathered on the web. Our results show that Koala is able to effectively respond to a wide range of user queries. It generates responses that are often preferable over Alpaca and at least tied with ChatGPT.

Databricks has created an open, general purpose LLM called DBRX. DBRX is the new benchmark for open LLMs. It also provides open communities and enterprises that are building their own LLMs capabilities that were previously only available through closed model APIs. According to our measurements, DBRX surpasses GPT 3.5 and is competitive with Gemini 1.0 Pro. It is a code model that is more capable than specialized models such as CodeLLaMA 70B, and it also has the strength of a general-purpose LLM. This state-of the-art quality is accompanied by marked improvements in both training and inference performances. DBRX is the most efficient open model thanks to its finely-grained architecture of mixtures of experts (MoE). Inference is 2x faster than LLaMA2-70B and DBRX has about 40% less parameters in total and active count compared to Grok-1.

Your prompts will generate code. ChatGPT can increase the quality of code generated by it. You can identify performance bottlenecks in your code and suggest ways of optimizing it. Automated understanding of complex and convoluted codes will help you learn faster. AI can reduce frustration and increase efficiency. In just a few clicks, you can create detailed documentation. Your code is never shared with anyone.

Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, TypeScript, Python, Java, C, C++, C#, Go, Php, Ruby, Kotlin, Dart, Rust, React/Vue, HTML 5, CSS, Lua, Perl, YAML, Cuda, SQL, Scala, Shell (bash), Swift, R, Julia, VB, Groovy, Matlab, Terraform, ABAP and more.

Multilingual cloud IDE-Lightly helps you develop your apps quickly and efficiently. AI-generated code, collaborative development tools and AI-generated code will help you create high-quality code quickly. Lightly is an IDE cloud that supports multiple languages including Java, Python C++ HTML JavaScript. You can write, run and debug code anywhere, anytime on iPad. AI-generated code helps you generate code quickly. Collaboration in real time is made easy with collaborative development. Lightly can host and deploy your projects without having to manage infrastructures. We'll provide you with project images that will help you efficiently deploy on AWS Azure GCP or any other cloud provider. Let the AI programming assistant handle the rest!

Let Kodezi auto-summarize your code in seconds. Kodezi is Grammarly designed for programmers. KodeziChat allows you to ask, search, code, and generate anything in your codebase. Your AI coding assistant! Kodezi does more than fix your code. It also tells you why and how to prevent future problems. To ensure clean code and syntax, reduce unnecessary lines. Optimize your code to maximize efficiency. With detailed explanations, debug code. You can switch from one framework to another in a matter of seconds, without losing context. Commenting and explaining code is crucial for future maintenance. In a matter of seconds, you can generate code from text, answer a question about coding or create a whole function. Generate your code documentation. Translate code into another language. Optimize your code to maximize efficiency. You can use our extension in your own IDE and never need to open new tabs again.

The AI-first code editor. Create software faster with an editor that is designed for AI-paired programming. With just one click, you can migrate all of your favorite vscode extension with local options to work on security-critical projects. Cursor is a clone of VSCode. Import all of your extensions, themes and keybindings with just one click. Local mode does not store any data on our servers or logs. Avoid searching for code that is tailored to your repository. Save time searching for the right method or place to start a new change. Directly refer to documentation, code definitions and files. With a single prompt, you can change an entire class or method. Create code from scratch using a simple command. Cursor will scan your code and help you quickly fix any bugs.

Refraction is a tool that generates code for developers. It uses AI to generate code. It can be used to generate unit tests, documentation, and refactor code. You can generate code using AI in 34 languages: C#, C++ and CoffeeScript. Refraction is used by thousands of developers worldwide to create documentation, create unit test cases, refactor code, among other things. AI can automate tedious tasks such as testing, documentation, and revisions so that you can concentrate on the important parts of software development. Refactor, optimize and fix your code. Use various test frameworks to generate unit tests for your code. To make it easier to understand, explain the purpose of your code.

Falcon-40B is a 40B parameter causal decoder model, built by TII. It was trained on 1,000B tokens from RefinedWeb enhanced by curated corpora. It is available under the Apache 2.0 licence. Why use Falcon-40B Falcon-40B is the best open source model available. Falcon-40B outperforms LLaMA, StableLM, RedPajama, MPT, etc. OpenLLM Leaderboard. It has an architecture optimized for inference with FlashAttention, multiquery and multiquery. It is available under an Apache 2.0 license that allows commercial use without any restrictions or royalties. This is a raw model that should be finetuned to fit most uses. If you're looking for a model that can take generic instructions in chat format, we suggest Falcon-40B Instruct.

The Syntax Generating Apps are the best way to find coding answers to your questions. It's easy to use and you'll be surprised at how simple it is to find answers to your coding queries in the language that you love. AskCodi offers applications for frontend/backend programming, documentation, test creators, and many other areas where users can ask questions to get answers. AskCodi supports more languages and frameworks than 50. A codebase that stores all code generated so you can return to it in the future. You can immediately increase productivity and streamline maintenance and debugging. AskCodi supports many natural languages other than english, such as german, spanish, and polish.

Gemini was designed from the ground-up to be multimodal. It is highly efficient in tool and API integrations, and it is built to support future innovations like memory and planning. We're seeing multimodal capabilities that were not present in previous models. Gemini is our most flexible model to date -- it can run on anything from data centers to smartphones. Its cutting-edge capabilities will improve the way developers and enterprises build and scale AI. We've optimized Gemini 1.0 for three different sizes. Gemini Ultra - Our largest and most capable model, designed for highly complex tasks. Gemini Pro is our best model to scale across a variety of tasks. Gemini Nano -- our most efficient model for on-device tasks.

Studio Bot is the perfect coding partner for Android development. It's a conversational interface in Android Studio which helps you to be more productive. It is powered by artificial intelligence, and it can understand natural language. You can ask questions about development in plain English. Studio Bot is a tool that helps Android developers to generate code, find resources, learn best practice, and save time. Studio Bot is a new experiment and may sometimes present inaccurate, misleading, or false information. Studio Bot may give you code that does not produce the desired output or code that is incomplete or unoptimized. Before relying on Studio Bot, always double-check the responses it provides and test and review the code for errors, vulnerabilities, and bugs. Studio Bot's latest capabilities can be helpful by providing new ways to create code, test cases, and update APIs.

AI allows you to build fast and produce high quality code. Create high-quality code quickly. AI Autocomplete allows you to quickly prototype. AI Autocomplete transforms your prototype into a production-quality code. Our specialized neural networks reduce the time spent on boilerplate and on StackOverFlow. Refactor, document, add types. To modify your code, give instructions directly to the AI. Are you tired of writing tests? We've got you covered. Automate the generation of unit tests using AI and metaprogramming. We believe that AI is the future of software development. Our long-term goal is to allow programmers to think at the speed of thought. We believe that the AI advances will open up new programming methods beyond the pre-AI accelerated stack. These new programming methods won't look like an IDE or version control system.

YouChat is an AI that can answer general queries, explain things and suggest ideas. It can also translate, summarize text, write emails and write code for your benefit. YouChat is powered artificial intelligence and natural languages processing, which allows you to have human-like conversations. It is constantly learning from vast amounts of information online, so it may sometimes get some answers wrong. Its AI is constantly improving and will often share sources with me for my answers.

Chat with AI to create simple, but highly customizable and interactive web pages. OpenAI's ChatGPT text generation model uses OpenAI's advanced ChatGPT text generator. If requested, automatically generates the appropriate images with stable diffusion. Optional voice interface with realistic text-to speech. Free hosting at user paths or a custom subdomain at padhub.xyz costs $1/month Mock-ups for discussion. Stable Diffusion prompts and images. Some basic custom code is required for internal or one-off tools. Utility pages or informational pages. Illustrated creative writing exercises. Sites that are finished (with persistence and prompt engineering, and possibly a link to an externe stylesheet). Soon, we will be adding templating to assist with creating more attractive pages. This site allows you to create simple web pages using AI-generated content and functionality. It integrates the ChatGPT APIs and Stability.ai APIs for this purpose.