Best AI tools for< Language Model Trainer >

Chat GPT Demo is a free-to-use online tool that allows users to interact with a powerful AI language model developed by OpenAI. This advanced tool is designed to generate human-like text, engage in conversations, answer questions, and assist with a wide range of writing tasks. With its user-friendly interface and advanced capabilities, Chat GPT Demo empowers users to explore the possibilities of AI and enhance their productivity. The tool is particularly valuable for individuals seeking assistance with content creation, research, and communication.

LuckyRobots is an AI tool designed to make robotics accessible to software engineers by providing a simulation platform for deploying end-to-end AI models. The platform allows users to interact with robots using natural language commands, explore virtual environments, test robot models in realistic scenarios, and receive camera feeds for monitoring. LuckyRobots aims to train AI models on real-world simulations and respond to natural language inputs, offering a user-friendly and innovative approach to robotics development.

ChatTTS is a text-to-speech tool optimized for natural, conversational scenarios. It supports both Chinese and English languages, trained on approximately 100,000 hours of data. With features like multi-language support, large data training, dialog task compatibility, open-source plans, control, security, and ease of use, ChatTTS provides high-quality and natural-sounding voice synthesis. It is designed for conversational tasks, dialogue speech generation, video introductions, educational content synthesis, and more. Users can integrate ChatTTS into their applications using provided API and SDKs for a seamless text-to-speech experience.

iAsk.Ai is a free AI search engine that allows users to ask questions in natural language and receive detailed, accurate responses. It utilizes similar technologies to ChatGPT, but also consists of a fine-tuned, large-scale Transformer language-based model trained on reliable sources, enabling it to answer questions objectively and factually.

AskKarlMarx is a chatbot that allows users to ask questions to Karl Marx, the famous philosopher and economist. The chatbot is powered by ChatGPT, a large language model trained by Google. AskKarlMarx can be used to learn more about Marx's ideas, his life, and his work. It can also be used to ask questions about current events and politics from a Marxist perspective.

Whybug is an AI tool designed to help developers debug their code by explaining errors. It utilizes a large language model trained on data from StackExchange and other sources to predict the causes of errors and provide solutions. Users can input error messages and receive explanations along with example fixes in code.

EmoGPT is a secure and user-friendly Google Chrome extension designed for Gmail users. It leverages the power of Artificial Intelligence (AI) to help users generate high-quality email replies, follow-ups, rewrites, and cold outreach emails. EmoGPT is powered by ChatGPT, an AI language model trained by OpenAI, ensuring personalized and efficient email communication. The extension prioritizes user privacy by storing settings locally and communicating exclusively with OpenAI's ChatGPT and Gmail. EmoGPT is trusted by users worldwide for its ease of use and efficiency in email writing.

PresentationGPT is an AI-powered presentation generator that helps users create high-quality, engaging presentations in seconds. It is powered by LISA, a proprietary large language model specifically trained and optimized to generate impressive presentations. With PresentationGPT, users can choose from a variety of backgrounds, text colors, and themes to create presentations that are tailored to their specific needs. Presentations generated on PresentationGPT are compatible with Microsoft PowerPoint and Google Slides, allowing users to make changes and edits as needed. PresentationGPT offers a free plan that allows users to create and share unlimited presentations, as well as paid plans that offer additional features such as access to advanced design templates, high-quality editable file formats, and unlimited downloads.

Sapling is a language model copilot and API for businesses. It provides real-time suggestions to help sales, support, and success teams more efficiently compose personalized responses. Sapling also offers a variety of features to help businesses improve their customer service, including: * Autocomplete Everywhere: Provides deep learning-powered autocomplete suggestions across all messaging platforms, allowing agents to compose replies more quickly. * Sapling Suggest: Retrieves relevant responses from a team response bank and allows agents to respond more quickly to customer inquiries by simply clicking on suggested responses in real time. * Snippet macros: Allow for quick insertion of common responses. * Grammar and language quality improvements: Sapling catches 60% more language quality issues than other spelling and grammar checkers using a machine learning system trained on millions of English sentences. * Enterprise teams can define custom settings for compliance and content governance. * Distribute knowledge: Ensure team knowledge is shared in a snippet library accessible on all your web applications. * Perform blazing fast search on your knowledge library for compliance, upselling, training, and onboarding.

Zephyr 7B is a state-of-the-art language model developed by WebPilot.AI with 7 billion parameters. It can understand and generate human-like text with remarkable accuracy and coherence. The model is built upon the latest advancements in natural language processing and machine learning, trained on a vast corpus of text data from diverse sources. Zephyr 7B offers capabilities such as natural language understanding, text generation, language translation, text summarization, sentiment analysis, and question answering. It represents a significant advancement in natural language processing, making it a powerful tool for content creation, customer support, research, and more.

Claude is a large multi-modal model, trained by Google. It is similar to GPT-3, but it is trained on a larger dataset and with more advanced techniques. Claude is capable of generating human-like text, translating languages, answering questions, and writing different kinds of creative content.

ChatTTS is an open-source text-to-speech model designed for dialogue scenarios, supporting both English and Chinese speech generation. Trained on approximately 100,000 hours of Chinese and English data, it delivers speech quality comparable to human dialogue. The tool is particularly suitable for tasks involving large language model assistants and creating dialogue-based audio and video introductions. It provides developers with a powerful and easy-to-use tool based on open-source natural language processing and speech synthesis technologies.

Google Gemma is a lightweight, state-of-the-art open language model (LLM) developed by Google. It is part of the same research used in the creation of Google's Gemini models. Gemma models come in two sizes, the 2B and 7B parameter versions, where each has a base (pre-trained) and instruction-tuned modifications. Gemma models are designed to be cross-device compatible and optimized for Google Cloud and NVIDIA GPUs. They are also accessible through Kaggle, Hugging Face, Google Cloud with Vertex AI or GKE. Gemma models can be used for a variety of applications, including text generation, summarization, RAG, and both commercial and research use.

ChatGPT Italiano is a free, no-registration-required AI chatbot that utilizes the ChatGPT-3.5 and ChatGPT-4 language models. It can comprehend and analyze complex, in-depth issues that humans cannot, along with exceptional capabilities such as: Response speed: This online chatbot impresses with its instant response speed on the browser of many different search engines, including Google, Bing, etc. Content quality: All content information provided is accurate, not exaggerated. The quality of the output content in natural language is presented in a coherent and fluent manner. Language support: Although primarily operating in Italian, this chatbot can still support multilingual users for translation, Q&A.

Aisera is a generative AI platform that provides various AI-powered solutions for businesses, including AI Copilot, AI Search, AI Assist, and AI Voice Bot. These solutions are designed to automate tasks, improve efficiency, and enhance customer experience. Aisera's AI Copilot acts as a proactive concierge, providing personalized assistance and automating workflows. AI Search offers enterprise-wide search capabilities powered by large language models (LLMs), ensuring personalized and privacy-aware results. AI Assist empowers agents with real-time answers, summaries, and next-best actions, boosting their productivity. AI Voice Bot enables natural language interactions, providing instant support and automating routine tasks.

Image In Words is a generative model designed for scenarios that require generating ultra-detailed text from images. It leverages cutting-edge image recognition technology to provide high-quality and natural image descriptions. The framework ensures detailed and accurate descriptions, improves model performance, reduces fictional content, enhances visual-language reasoning capabilities, and has wide applications across various fields. Image In Words supports English and has been trained using approximately 100,000 hours of English data. It has demonstrated high quality and naturalness in various tests.

ChatGPT 4 Online is an artificial intelligence-based chatbot powered by generative pre-trained transformer (GPT) technology. It responds with human-like natural conversation when you put text prompts or input in it. ChatGPT online version is a state-of-the-art AI language model that lets you enhance your productivity without spending a single penny. It is owned and developed by OpenAI, the artificial intelligence research laboratory, with the mission of advancing digital intelligence to benefit humanity.

Goodlookup is a smart function for spreadsheet users that gets very close to semantic understanding. It’s a pre-trained model that has the intuition of GPT-3 and the join capabilities of fuzzy matching. Use it like vlookup or index match to speed up your topic clustering work in google sheets!

Teachable Machine is a web-based tool that makes it easy to create custom machine learning models, even if you don't have any coding experience. With Teachable Machine, you can train models to recognize images, sounds, and poses. Once you've trained a model, you can export it to use in your own projects.

Cheat Layer is a no-code business automation platform that leverages AI technology to solve complex automation problems. The platform utilizes a multi-modal model, Atlas-1, and a custom-trained version of GPT-4 to function as a personal AI team. Cheat Layer offers automations in simple language, robust targeting strategies, unlimited autoresponding, and no-code drag-drop interfaces for automating manual tasks. Users can automate various business processes efficiently and effectively.

This repository contains an unofficial implementation of the xLSTM model introduced in Beck et al. (2024). It serves as a didactic tool to explain the details of a modern Long-Short Term Memory model with competitive performance against Transformers or State-Space models. The repository also includes a Lightning-based implementation of a basic LLM for multi-GPU training. It provides modules for scalar-LSTM and matrix-LSTM, as well as an xLSTM LLM built using Pytorch Lightning for easy training on multi-GPUs.

The ChatGPT API Free Reverse Proxy provides free self-hosted API access to ChatGPT (`gpt-3.5-turbo`) with OpenAI's familiar structure, eliminating the need for code changes. It offers streaming response, API endpoint compatibility, and complimentary access without an API key. Installation options include Docker, PC/Server, and Termux on Android devices. The API can be accessed through a self-hosted local server or a pre-hosted API with an API key obtained from the Discord server. Usage examples are provided for Python and Node.js, and the project is licensed under AGPL-3.0.

ChatGPT Infinity is a free and powerful add-on that makes ChatGPT generate infinite answers on any topic. It offers customizable topic selection, multilingual support, adjustable response interval, and auto-scroll feature for a seamless chat experience.

The Qianfan SDK provides best practices for large model toolchains, allowing AI workflows and AI-native applications to access the Qianfan large model platform elegantly and conveniently. The core capabilities of the SDK include three parts: large model reasoning, large model training, and general and extension: * `Large model reasoning`: Implements interface encapsulation for reasoning of Yuyan (ERNIE-Bot) series, open source large models, etc., supporting dialogue, completion, Embedding, etc. * `Large model training`: Based on platform capabilities, it supports end-to-end large model training process, including training data, fine-tuning/pre-training, and model services. * `General and extension`: General capabilities include common AI development tools such as Prompt/Debug/Client. The extension capability is based on the characteristics of Qianfan to adapt to common middleware frameworks.

Starwhale is an MLOps/LLMOps platform that brings efficiency and standardization to machine learning operations. It streamlines the model development lifecycle, enabling teams to optimize workflows around key areas like model building, evaluation, release, and fine-tuning. Starwhale abstracts Model, Runtime, and Dataset as first-class citizens, providing tailored capabilities for common workflow scenarios including Models Evaluation, Live Demo, and LLM Fine-tuning. It is an open-source platform designed for clarity and ease of use, empowering developers to build customized MLOps features tailored to their needs.

Mergoo is a library for easily merging multiple LLM experts and efficiently training the merged LLM. With Mergoo, you can efficiently integrate the knowledge of different generic or domain-based LLM experts. Mergoo supports several merging methods, including Mixture-of-Experts, Mixture-of-Adapters, and Layer-wise merging. It also supports various base models, including LLaMa, Mistral, and BERT, and trainers, including Hugging Face Trainer, SFTrainer, and PEFT. Mergoo provides flexible merging for each layer and supports training choices such as only routing MoE layers or fully fine-tuning the merged LLM.

SimplerLLM is an open-source Python library that simplifies interactions with Large Language Models (LLMs) for researchers and beginners. It provides a unified interface for different LLM providers, tools for enhancing language model capabilities, and easy development of AI-powered tools and apps. The library offers features like unified LLM interface, generic text loader, RapidAPI connector, SERP integration, prompt template builder, and more. Users can easily set up environment variables, create LLM instances, use tools like SERP, generic text loader, calling RapidAPI APIs, and prompt template builder. Additionally, the library includes chunking functions to split texts into manageable chunks based on different criteria. Future updates will bring more tools, interactions with local LLMs, prompt optimization, response evaluation, GPT Trainer, document chunker, advanced document loader, integration with more providers, Simple RAG with SimplerVectors, integration with vector databases, agent builder, and LLM server.

MindNLP is an open-source NLP library based on MindSpore. It provides a platform for solving natural language processing tasks, containing many common approaches in NLP. It can help researchers and developers to construct and train models more conveniently and rapidly. Key features of MindNLP include: * Comprehensive data processing: Several classical NLP datasets are packaged into a friendly module for easy use, such as Multi30k, SQuAD, CoNLL, etc. * Friendly NLP model toolset: MindNLP provides various configurable components. It is friendly to customize models using MindNLP. * Easy-to-use engine: MindNLP simplified complicated training process in MindSpore. It supports Trainer and Evaluator interfaces to train and evaluate models easily. MindNLP supports a wide range of NLP tasks, including: * Language modeling * Machine translation * Question answering * Sentiment analysis * Sequence labeling * Summarization MindNLP also supports industry-leading Large Language Models (LLMs), including Llama, GLM, RWKV, etc. For support related to large language models, including pre-training, fine-tuning, and inference demo examples, you can find them in the "llm" directory. To install MindNLP, you can either install it from Pypi, download the daily build wheel, or install it from source. The installation instructions are provided in the documentation. MindNLP is released under the Apache 2.0 license. If you find this project useful in your research, please consider citing the following paper: @misc{mindnlp2022, title={{MindNLP}: a MindSpore NLP library}, author={MindNLP Contributors}, howpublished = {\url{https://github.com/mindlab-ai/mindnlp}}, year={2022} }

AdalFlow is a library designed to help developers build and optimize Large Language Model (LLM) task pipelines. It follows a design pattern similar to PyTorch, offering a light, modular, and robust codebase. Named in honor of Ada Lovelace, AdalFlow aims to inspire more women to enter the AI field. The library is tailored for various GenAI applications like chatbots, translation, summarization, code generation, and autonomous agents, as well as classical NLP tasks such as text classification and named entity recognition. AdalFlow emphasizes modularity, robustness, and readability to support users in customizing and iterating code for their specific use cases.

LLMs is a Chinese large language model technology stack for practical use. It includes high-availability pre-training, SFT, and DPO preference alignment code framework. The repository covers pre-training data cleaning, high-concurrency framework, SFT dataset cleaning, data quality improvement, and security alignment work for Chinese large language models. It also provides open-source SFT dataset construction, pre-training from scratch, and various tools and frameworks for data cleaning, quality optimization, and task alignment.

This repository contains convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language (that isn't English). The rationale behind this is that LLaMa3 is trained on primarily English data and while it works to some extent for other languages, its performance is poor compared to English.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

This repository contains code for training reward models for Deep Reinforcement Learning-based Reward-modulated Hierarchical Fine-tuning (DRL-based RLHF), Iterative Selection Fine-tuning (Rejection sampling fine-tuning), and iterative Decision Policy Optimization (DPO). The reward models are trained using a Bradley-Terry model based on the Gemma and Mistral language models. The resulting reward models achieve state-of-the-art performance on the RewardBench leaderboard for reward models with base models of up to 13B parameters.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

NExT-GPT is an end-to-end multimodal large language model that can process input and generate output in various combinations of text, image, video, and audio. It leverages existing pre-trained models and diffusion models with end-to-end instruction tuning. The repository contains code, data, and model weights for NExT-GPT, allowing users to work with different modalities and perform tasks like encoding, understanding, reasoning, and generating multimodal content.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This repository serves as a collection of Google Colaboratory Notebooks for various tasks in Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision, Generative Adversarial Networks (GANs), Streamlit applications, tutorials, UI/UX experiments, and other miscellaneous projects. It includes a wide range of pre-trained models, fine-tuning examples, and demos for tasks such as text generation, image processing, and more. The notebooks cover topics like self-attention, language model finetuning, emotion detection, image inpainting, and streamlit app creation. Users can explore different models, datasets, and techniques through these shared notebooks.

Txtai is an all-in-one embeddings database for semantic search, LLM orchestration, and language model workflows. It combines vector indexes, graph networks, and relational databases to enable vector search with SQL, topic modeling, retrieval augmented generation, and more. Txtai can stand alone or serve as a knowledge source for large language models (LLMs). Key features include vector search with SQL, object storage, topic modeling, graph analysis, multimodal indexing, embedding creation for various data types, pipelines powered by language models, workflows to connect pipelines, and support for Python, JavaScript, Java, Rust, and Go. Txtai is open-source under the Apache 2.0 license.

This repository provides a comprehensive set of tools for fine-tuning large language models (LLMs) using various techniques, including full parameter training, LoRA (Low-Rank Adaptation), and P-Tuning V2. It supports a wide range of LLM models, including Qwen, Yi, Llama, and others. The repository includes scripts for data preparation, training, and inference, making it easy for users to fine-tune LLMs for specific tasks. Additionally, it offers a collection of pre-trained models and provides detailed documentation and examples to guide users through the process.

PhoGPT is an open-source 4B-parameter generative model series for Vietnamese, including the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. PhoGPT-4B is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length and a vocabulary of 20K token types. PhoGPT-4B-Chat is fine-tuned on instructional prompts and conversations, demonstrating superior performance. Users can run the model with inference engines like vLLM and Text Generation Inference, and fine-tune it using llm-foundry. However, PhoGPT has limitations in reasoning, coding, and mathematics tasks, and may generate harmful or biased responses.

LangChain expert and guide, UPDATED FREQUENTLY 100%

Echoes user prompts verbatim.

Embodies Satoru Gojo

I respond to children's messages to the Tomtenisse, crafting whimsical replies.

ChatGPT официальная русская версия

Your purpose is to create the pytorch code to train language models using pytorch

Give me a picture of what you intend to buy and say: Go.

An AI sidekick trained on your world █▓▓▒▒░░░░░░░░░░░░░░░░░░░░░▒▒▒▒▓▓█ Personalize GPT with context about your life, work, and other unique knowledge.

As the smallest language model (SLM) chatbot in existence, Enough responds with only one word.

AI language model specializing in orchestrating human-AI interactions

HackingPT is a specialized language model focused on cybersecurity and penetration testing, committed to providing precise and in-depth insights in these fields.

Precision-focused Language Model for Discrete Mathematics, ensuring unmatched accuracy and error avoidance.

SuccintBot delivers concise one-word answers, offering a unique twist on language model interactions with brevity at its core.

Talk to Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning (LFG)

Next level high accuracy GPT5 model

I help you find the perfect GPT model for your needs. From GPT Design, GPT Business, SEO, Content Creation or GPTs for Social Media we have you covered.

Kannada GPT

I'm a wizard who believes in magic.

专门优化和翻译不同LLM的提示词的专家，基于用户选择和LLM特性。

大型语言模型的学习和训练指导专家