Find and compare the best Artificial Intelligence software for StarCoder in 2024
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Use the comparison tool below to compare the top Artificial Intelligence software for StarCoder on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.
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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.
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CodeQwen
QwenLM
FreeCodeQwen, developed by the Qwen Team, Alibaba Cloud, is the code version. It is a transformer based decoder only language model that has been pre-trained with a large number of codes. A series of benchmarks shows that the code generation is strong and that it performs well. Supporting long context generation and understanding with a context length of 64K tokens. CodeQwen is a 92-language coding language that provides excellent performance for text-to SQL, bug fixes, and more. CodeQwen chat is as simple as writing a few lines of code using transformers. We build the tokenizer and model using pre-trained methods and use the generate method for chatting. The chat template is provided by the tokenizer. Following our previous practice, we apply the ChatML Template for chat models. The model will complete the code snippets in accordance with the prompts without any additional formatting. -
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Taylor AI
Taylor AI
Open source language models require time and specialized expertise. Taylor AI allows your engineering team focus on creating real business value rather than deciphering complicated libraries and setting up a training infrastructure. Working with third-party LLM vendors requires that your sensitive company data be exposed. Most providers reserve their right to retrain models using your data. Taylor AI allows you to own and control all of your models. Break free from the pay-per token pricing structure. Taylor AI only charges you for the training of the model. You can deploy and interact as much as you want with your AI models. Every month, new open source models are released. Taylor AI keeps up to date with the latest open source language models so that you don't need to. Train with the latest open-source models to stay ahead. You own the model so you can deploy according to your unique compliance standards and security standards. -
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LM Studio
LM Studio
Use models via the Chat UI in-app or an OpenAI compatible local server. Minimum requirements: Mac M1/M2/M3 or Windows PC with AVX2 processor. Linux is currently in beta. Privacy is a major reason to use a local LLM, and LM Studio was designed with that in mind. Your data is kept private and on your local machine. You can use LLMs that you load in LM Studio through an API server running locally.
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