Best AI tools for< Improve Over Epochs >

Wriiter is an AI-powered writing tool that helps users create high-quality content quickly and effortlessly. It uses advanced natural language processing algorithms to generate text that is coherent, engaging, and error-free. With Wriiter, users can save time and effort in writing blog posts, articles, essays, and more. The tool provides suggestions for improving the clarity and readability of the content, making it suitable for writers of all levels. Wriiter is designed to be user-friendly and intuitive, allowing users to focus on their ideas and creativity without worrying about grammar or structure.

Magicflow is a research and analytics platform for production-grade AI image generation. It provides tools for experimentation, data analysis, and collaboration to help users achieve optimal results for their specific use cases. Magicflow also offers production-ready APIs for image generation, CDN, monitoring, and alerting. Additionally, it includes analytics capabilities to gather feedback from users and improve results over time.

Behavioral Buddy is an AI interviewing tool designed to help users confidently navigate behavioral interviews and land their dream job. The tool offers AI-lead mock interviews, instant guided feedback, personalized progress tracking, and a user-friendly interface. With Behavioral Buddy, users can simulate real interviews, receive detailed feedback on their answers, track their interview history, and improve their performance over time. The tool aims to address the common challenges candidates face in behavioral interviews, such as lack of preparation, scattered preparation, and lack of actionable feedback.

LaunchPal is an AI-powered marketing tool designed to streamline and enhance the marketing workflow for individuals, agencies, and enterprises. It enables users to train AI on new brands in minutes, deliver results quickly, manage clients efficiently, and improve content delivery over time. LaunchPal offers features such as effortless setup, content engine, client portal, pricing plans tailored for different user needs, and a user-friendly interface for a seamless experience.

Fini is a customer support AI chatbot that helps businesses resolve customer queries, increase retention, revenue, and activation. It integrates with various platforms like Zendesk, Slack, and Discord, and can be customized to match the tone and character of the business. Fini uses machine learning to learn from customer interactions and improve its responses over time. It offers features such as seamless human routing, multi-channel deployment, and feedback-based learning.

Rosebud is an AI-powered journaling app that makes it easy for anyone to build and maintain an impactful journaling practice. With personalized questions and real-time feedback, Rosebud makes journaling easy and rewarding. Rosebud also resurfaces key details and insights when you need them most, and analyzes your thoughts, organizing them into themes and topics for you to explore.

Rosebud is an AI journaling application designed for personal growth. It offers a private space to navigate life's challenges, gain actionable insights, and track progress. With over 80 million words journaled, Rosebud provides personalized questions, real-time feedback, and organizes thoughts into themes and topics for exploration. The application includes popular journal templates like Positive Psychology, Gratitude Journal, and Dream Journal, all brought to life with AI technology. Users report notable improvements in various areas such as depression, anxiety, anger, and loneliness after just 7 days of using Rosebud.

BoldVoice Accent Oracle is an AI-powered application designed to help users improve their American English accent. By analyzing users' speech patterns, it can accurately guess their native language within 30 seconds. The app provides personalized training to enhance pronunciation and intonation, aiming to help users sound more like native English speakers. BoldVoice Accent Oracle is a user-friendly tool that offers a fun and interactive way to work on accent reduction and language proficiency.

VoiceCanvas is an advanced AI-powered multilingual voice synthesis and voice cloning platform that offers instant text-to-speech in over 40 languages. It utilizes cutting-edge AI technology to provide high-quality voice synthesis with natural intonation and rhythm, along with personalized voice cloning for more human-like AI speech. Users can upload voice samples, have AI analyze voice features, generate personalized AI voice models, input text for conversion, and apply the cloned AI voice model to generate natural voice speech. VoiceCanvas is highly praised by language learners, content creators, teachers, business owners, voice actors, and educators for its exceptional voice quality, multiple language support, and ease of use in creating voiceovers, learning materials, and podcast content.

Luna.ai is a sales automation tool that uses artificial intelligence (AI) to help businesses find and engage with potential customers. The tool offers a range of features, including lead generation, email marketing, and customer relationship management (CRM). Luna.ai is designed to help businesses improve their sales performance by automating tasks and providing insights into customer behavior.

New Relic is an AI monitoring platform that offers an all-in-one observability solution for monitoring, debugging, and improving the entire technology stack. With over 30 capabilities and 750+ integrations, New Relic provides the power of AI to help users gain insights and optimize performance across various aspects of their infrastructure, applications, and digital experiences.

Relationship 2.0 is an AI-powered system designed to help individuals navigate through breakups, personal development, and rebuilding healthy relationships. By leveraging advanced AI technology, the platform offers personalized guidance, tailored plans, and expert advice to assist users in overcoming emotional challenges, understanding relationship dynamics, and fostering positive growth. Relationship 2.0 aims to provide a comprehensive solution for individuals seeking to improve themselves and reconnect with their ex-partners in a healthy and sustainable manner.

Vocal Image is an AI-powered coaching app that offers speech and communication lessons to help speakers and singers boost confidence and enhance the attractiveness of their voice. The app provides voice evaluations, educational content, specialized programs, and challenges designed to improve voice quality and communication skills. Users can record their voice, receive feedback from a community of voice enthusiasts, and engage with AI coach recommendations to achieve their voice goals.

VMock Dashboard is an AI-powered platform designed to provide personalized feedback on resumes. It leverages machine learning algorithms to analyze resumes and offers detailed insights on areas of improvement. Users can upload their resumes, receive instant feedback on content, formatting, and overall effectiveness, and track their progress over time. VMock Dashboard aims to help individuals enhance their resumes and increase their chances of landing their desired job opportunities.

CyberUpgrade.net is an AI-powered platform that offers comprehensive cybersecurity and compliance solutions for organizations of all sizes. It provides automated compliance, risk management, vendor risk assessment, policy management, audit management, and 24/7 security support. The platform features a cloud vulnerability scanner, security awareness training, pentesting, business continuity planning, disaster recovery planning, and an AI-powered assistant for seamless security support. CyberUpgrade helps CTOs understand their organization's security status, proposes improvement plans, guides execution, and prepares compliance documentation with a push of a button. It engages every employee individually for evidence collection and situation analysis, ensuring real cybersecurity measures are in place.

Youper is an empathetic, safe, and clinically validated AI chatbot designed for mental healthcare. It combines psychology and artificial intelligence to provide support for emotional health issues. Youper has been proven clinically effective at reducing symptoms of anxiety and depression, making mental healthcare accessible to millions of users. The application is used by providers, employers, payers, and life science companies to scale their services and improve mental healthcare outcomes.

Speakable is an AI-powered language learning platform that offers a variety of interactive activities for students to practice and improve their language skills. It provides instant feedback on pronunciation, writing, and speaking exercises, as well as auto-graded assessments. Speakable also features collaborative spaces for educators to share resources and track student progress over time.

AI-Headshots.net is an AI-powered online platform that generates professional headshots in minutes without the need for a traditional photoshoot. Users can upload their photos, select desired styles, and receive over 120 refined headshots. The service is trusted by professionals worldwide and aims to enhance resumes, social media presence, and career opportunities through high-quality headshots created by cutting-edge AI technology. The platform prioritizes user privacy by not selling or repurposing uploaded images for any other purposes.

CasperPractice is an AI-powered toolkit designed to help individuals prepare for the Casper test, an open-response situational judgment test used for admissions to various professional schools. The platform offers personalized practice scenarios, instant quartile grading, detailed feedback, video answers, and a fully simulated test environment. With a large question bank and unlimited practice options, users can improve their test-taking skills and aim for a top quartile score. CasperPractice is known for its affordability, instant feedback, and realistic simulation, making it a valuable resource for anyone preparing for the Casper test.

LiveChat is an AI-driven business chat software designed for e-commerce companies to enhance customer support, sales, and marketing efforts. It offers a range of features such as AI chatbots, Copilot AI assistant, live chat communication, lead generation tools, and integration with various platforms. The application aims to improve productivity, automate customer service, and provide personalized support to help businesses grow and succeed in the competitive online market.

Pwnagotchi is an AI tool leveraging bettercap to learn from WiFi environments and maximize crackable WPA key material. It uses LSTM with MLP feature extractor for A2C agent, learning over epochs to improve performance in various WiFi environments. Units can cooperate using a custom parasite protocol. Visit https://www.pwnagotchi.ai for documentation and community links.

LLaMa2lang is a repository containing convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language that isn't English. The repository aims to improve the performance of LLaMa3 for non-English languages by combining fine-tuning with RAG. Users can translate datasets, extract threads, turn threads into prompts, and finetune models using QLoRA and PEFT. Additionally, the repository supports translation models like OPUS, M2M, MADLAD, and base datasets like OASST1 and OASST2. The process involves loading datasets, translating them, combining checkpoints, and running inference using the newly trained model. The repository also provides benchmarking scripts to choose the right translation model for a target language.

DistillKit is an open-source research effort by Arcee.AI focusing on model distillation methods for Large Language Models (LLMs). It provides tools for improving model performance and efficiency through logit-based and hidden states-based distillation methods. The tool supports supervised fine-tuning and aims to enhance the adoption of open-source LLM distillation techniques.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

This project focuses on implementing Sparse Autoencoders (SAEs) for mechanistic interpretability in Large Language Models (LLMs) like Llama 3.2-3B. The SAEs aim to untangle superimposed representations in LLMs into separate, interpretable features for each neuron activation. The project provides an end-to-end pipeline for capturing training data, training the SAEs, analyzing learned features, and verifying results experimentally. It includes comprehensive logging, visualization, and checkpointing of SAE training, interpretability analysis tools, and a pure PyTorch implementation of Llama 3.1/3.2 chat and text completion. The project is designed for scalability, efficiency, and maintainability.

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) supports training, inference, evaluation and deployment of nearly **200 LLMs and MLLMs** (multimodal large models). Developers can directly apply our framework to their own research and production environments to realize the complete workflow from model training and evaluation to application. In addition to supporting the lightweight training solutions provided by [PEFT](https://github.com/huggingface/peft), we also provide a complete **Adapters library** to support the latest training techniques such as NEFTune, LoRA+, LLaMA-PRO, etc. This adapter library can be used directly in your own custom workflow without our training scripts. To facilitate use by users unfamiliar with deep learning, we provide a Gradio web-ui for controlling training and inference, as well as accompanying deep learning courses and best practices for beginners. Additionally, we are expanding capabilities for other modalities. Currently, we support full-parameter training and LoRA training for AnimateDiff.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

Torch-Pruning (TP) is a library for structural pruning that enables pruning for a wide range of deep neural networks. It uses an algorithm called DepGraph to physically remove parameters. The library supports pruning off-the-shelf models from various frameworks and provides benchmarks for reproducing results. It offers high-level pruners, dependency graph for automatic pruning, low-level pruning functions, and supports various importance criteria and modules. Torch-Pruning is compatible with both PyTorch 1.x and 2.x versions.

RTL-Coder is a tool designed to outperform GPT-3.5 in RTL code generation by providing a fully open-source dataset and a lightweight solution. It targets Verilog code generation and offers an automated flow to generate a large labeled dataset with over 27,000 diverse Verilog design problems and answers. The tool addresses the data availability challenge in IC design-related tasks and can be used for various applications beyond LLMs. The tool includes four RTL code generation models available on the HuggingFace platform, each with specific features and performance characteristics. Additionally, RTL-Coder introduces a new LLM training scheme based on code quality feedback to further enhance model performance and reduce GPU memory consumption.

Step-DPO is a method for enhancing long-chain reasoning ability of LLMs with a data construction pipeline creating a high-quality dataset. It significantly improves performance on math and GSM8K tasks with minimal data and training steps. The tool fine-tunes pre-trained models like Qwen2-7B-Instruct with Step-DPO, achieving superior results compared to other models. It provides scripts for training, evaluation, and deployment, along with examples and acknowledgements.

The GFM-RAG is a graph foundation model-powered pipeline that combines graph neural networks to reason over knowledge graphs and retrieve relevant documents for question answering. It features a knowledge graph index, efficiency in multi-hop reasoning, generalizability to unseen datasets, transferability for fine-tuning, compatibility with agent-based frameworks, and interpretability of reasoning paths. The tool can be used for conducting retrieval and question answering tasks using pre-trained models or fine-tuning on custom datasets.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

FastFit is a Python package designed for fast and accurate few-shot classification, especially for scenarios with many semantically similar classes. It utilizes a novel approach integrating batch contrastive learning and token-level similarity score, significantly improving multi-class classification performance in speed and accuracy across various datasets. FastFit provides a convenient command-line tool for training text classification models with customizable parameters. It offers a 3-20x improvement in training speed, completing training in just a few seconds. Users can also train models with Python scripts and perform inference using pretrained models for text classification tasks.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

Helpt met vragen over podcasts, gebaseerd op Marvin Jacobs' werk.

Natural remedies for over 220 Ailments Compiled from 5 Years of Extensive Research.

Dit programma biedt duidelijke uitleg over een breed scala aan wiskundige onderwerpen. Gebruikers kunnen verwachten dat ze alles leren, van elementaire wiskundige concepten tot complexere theorieën. Het is ontworpen om wiskunde voor iedereen begrijpelijk te maken.

Write Viral Intro Hooks (that are actually good) for your next TikTok video in seconds! We analyzed over 5,000 Top hooks and created this GPT around it. If you need help rewriting your hooks for your next TikTok, Youtube Shorts, or Reels video I promise you this 1 is the most unique.

Starts with a quiz to assess your personality across 10 dating-related areas, crafts a custom development road-map, and coaches you towards finding a fulfilling relationship.

A break from dating apps, guiding singles in self-love and creating personalized date-me docs through quizzes.

Your guide to modern dating and love. Especially helpful for Tinder, Bumble and Hinge users.

A practical map to navigate your feelings, based on the fundamental laws of nature.

GPT geeft antwoorden en advies op vragen over de Ziektewet, Wet Verbetering Poortwachter en WIA

Gives you tips and suggestions on how you can improve your application for your users.

Upload a screenshot of your Tinder profile to improve it and get feedback

Improve your Ideas with First Principles Thinking

Offers exercises and techniques to improve memory retention and cognitive functions.

Generates conversation examples and chunks for specified situations. Improve your instantaneous conversational skills through repetitive practice!

Improve your physical & mental health

Analyzes customer churn and provides strategies to improve loyalty and retention.

Improve your curriculum telling chatgpt your cv and the desired job

Agile expert providing practical, step-by-step advice with the agile way of working of your team and organisation. Whether you're looking to improve your Agile skills or find solutions to specific problems. Including Scrum, Kanban and SAFe knowledge.

I improve objects with animals.

I improve marketing effectiveness by designing stunning research-led assets in a flash!