Best AI tools for< Grade Model Performance >

Datasaur is an advanced text and audio data labeling platform that offers customizable solutions for various industries such as LegalTech, Healthcare, Financial, Media, e-Commerce, and Government. It provides features like configurable annotation, quality control automation, and workforce management to enhance the efficiency of NLP and LLM projects. Datasaur prioritizes data security with military-grade practices and offers seamless integrations with AWS and other technologies. The platform aims to streamline the data labeling process, allowing engineers to focus on creating high-quality models.

SambaNova Systems is an AI platform that revolutionizes AI workloads by offering an enterprise-grade full stack platform purpose-built for generative AI. It provides state-of-the-art AI and deep learning capabilities to help customers outcompete their peers. SambaNova delivers the only enterprise-grade full stack platform, from chips to models, designed for generative AI in the enterprise. The platform includes the SN40L Full Stack Platform with 1T+ parameter models, Composition of Experts, and Samba Apps. SambaNova also offers resources to accelerate AI journeys and solutions for various industries like financial services, healthcare, manufacturing, and more.

ONNX Runtime is a production-grade AI engine designed to accelerate machine learning training and inferencing in various technology stacks. It supports multiple languages and platforms, optimizing performance for CPU, GPU, and NPU hardware. ONNX Runtime powers AI in Microsoft products and is widely used in cloud, edge, web, and mobile applications. It also enables large model training and on-device training, offering state-of-the-art models for tasks like image synthesis and text generation.

Siml.ai is a software platform designed for fast AI-driven physics simulations. It combines state-of-the-art machine learning with physics simulation to provide interactive visualization and high-performance AI-based numerical simulators. The platform offers tools like Model Engineer and Simulation Studio for training and optimizing simulators, managing datasets, and leveraging AI models for engineering and scientific problems. Siml.ai aims to democratize scientific-grade simulation tools by simplifying the development and deployment of physics-based simulations for engineers and researchers.

Tensoic AI is an AI tool designed for custom Large Language Models (LLMs) fine-tuning and inference. It offers ultra-fast fine-tuning and inference capabilities for enterprise-grade LLMs, with a focus on use case-specific tasks. The tool is efficient, cost-effective, and easy to use, enabling users to outperform general-purpose LLMs using synthetic data. Tensoic AI generates small, powerful models that can run on consumer-grade hardware, making it ideal for a wide range of applications.

UnfoldAI is a website offering articles, strategies, and tutorials for building production-grade ML systems. Authored by Simeon Emanuilov, the site covers topics such as deep learning, computer vision, LLMs, programming, MLOps, performance, scalability, and AI consulting. It aims to provide insights and best practices for professionals in the field of machine learning to create robust, efficient, and scalable systems.

Cresta AI is an enterprise-grade Gen AI platform designed for the contact center, offering a suite of intelligent products that analyze conversations, provide real-time guidance to agents, and drive transformative results for Fortune 500 companies. The platform leverages generative AI to deliver targeted automation, personalized coaching, and AI-native management solutions, all trained on the user's data. Cresta's no-code command center empowers non-technical leaders to deploy AI models effortlessly, ensuring businesses can adapt and evolve seamlessly. With a focus on enhancing sales, customer care, retention, and collections processes, Cresta aims to revolutionize contact center operations with cutting-edge AI technology.

AI MathGPT is an AI-powered math tutoring tool designed to assist students and parents with math homework. It offers advanced reasoning, step-by-step solutions, and clear explanations for challenging math problems. The tool aims to boost math performance, provide 24/7 support, and enhance math learning experiences for users of all levels.

Excire is an award-winning AI-based software designed for perfect photo management. The latest version, Excire Foto 2024, elevates your photo search and organization to a new level. It features five independent AI models that provide various search functions. Additionally, it offers innovative features and enhanced performance. Excire Search 2024 is the latest upgrade for Lightroom Classic users, offering intelligent image management, improved photo analysis AI, and integrated free-text search. Excire excels in assisting users in maintaining digital archives, finding photos quickly, and creating photo collections effortlessly.

BotX is a no-code AI platform that enables users to automate and deploy generative AI workflows, chatbots, RAGs, and multi-agent solutions. With production-ready AI systems, users can increase productivity, build AI agents and chatbots, automate workflows, create or process documents, and connect models effortlessly. The platform offers a range of models and fine-tuning options, seamless integration of advanced models, and enterprise-grade results with grounded responses. Users can protect their data with various deployment options and enjoy dedicated support, integrations-ready solutions, and tailor-made solutions for enterprises and SMEs.

Boudoir.ai is a cutting-edge photography studio that uses state-of-the-art artificial intelligence technology to revolutionize the boudoir experience. It offers professional-grade intimate photos with a tasteful, elegant, and timeless aesthetic. Users can upload their photos, and the AI generates boudoir-style photoshoots, celebrating their unique beauty, sensuality, and confidence.

Wallaroo.AI is an AI inference platform that offers production-grade AI inference microservices optimized on OpenVINO for cloud and Edge AI application deployments on CPUs and GPUs. It provides hassle-free AI inferencing for any model, any hardware, anywhere, with ultrafast turnkey inference microservices. The platform enables users to deploy, manage, observe, and scale AI models effortlessly, reducing deployment costs and time-to-value significantly.

Breadcrumbs is a revenue acceleration platform that helps businesses optimize their entire sales and marketing funnel. It provides enterprise-grade lead scoring, allowing businesses to identify and prioritize their most promising leads. Breadcrumbs also offers a range of other features, such as data-driven model creation, unlimited workspaces and models, multi-variate testing, and integrations with a variety of marketing and sales tools. With Breadcrumbs, businesses can improve their lead quality, increase conversion rates, and accelerate revenue growth.

PRIME Profile is a studio-grade AI profile picture generator that allows users to create realistic and professional-looking profile pictures for various platforms such as Twitter, LinkedIn, and resumes. It utilizes advanced AI technology to generate personalized profile pictures based on a set of photos uploaded by the user. The AI model is trained to capture the user's unique facial features and expressions, enabling them to create profile pictures that truly reflect their identity. PRIME Profile offers a convenient pay-per-use pricing model, with no subscriptions or hidden fees. Users can unlock a studio with 30 shots for just $15, granting them unlimited access to generate an endless number of shots with 4K resolution support. The process of creating a personalized AI model typically takes around 35 minutes. PRIME Profile prioritizes user privacy and ensures that uploaded photos are used solely for creating personalized AI models and are never shared with third parties.

DeepSeek R1 is a revolutionary open-source AI model for advanced reasoning that outperforms leading AI models in mathematics, coding, and general reasoning tasks. It utilizes a sophisticated MoE architecture with 37B active/671B total parameters and 128K context length, incorporating advanced reinforcement learning techniques. DeepSeek R1 offers multiple variants and distilled models optimized for complex problem-solving, multilingual understanding, and production-grade code generation. It provides cost-effective pricing compared to competitors like OpenAI o1, making it an attractive choice for developers and enterprises.

Odin AI is a comprehensive AI platform that offers a range of tools and features to simplify and automate various tasks. It provides solutions for brand compliance, custom templates, guardrails, knowledge graph, model fine-tuning, conversational AI, task automation, meeting note-taking, chatbot building, and more. Odin AI aims to enhance productivity, streamline workflows, and improve decision-making across different industries and use cases.

CorporateHeadshots.ai is an AI-powered platform that allows users to create professional headshots from the comfort of their own homes. The platform uses state-of-the-art technology to transform selfies into studio-grade headshots, tailored to the user's unique features. CorporateHeadshots.ai is a convenient and affordable solution for individuals and businesses looking to elevate their professional image.

Clarifai is a full-stack AI platform that provides developers and ML engineers with the fastest, production-grade deep learning platform. It offers a wide range of features, including data preparation, model building, model operationalization, and AI workflows. Clarifai is used by a variety of companies, including Fortune 500 companies and startups, to build AI applications in a variety of industries, including retail, manufacturing, and healthcare.

Vibe AI is an AI-powered cybersecurity product designed to secure business data and digital assets. It offers real-time alert notifications and developer-friendly APIs to protect against suspicious activities. With military-grade security features and a pay-as-you-go subscription model, Vibe AI provides a comprehensive security solution for businesses.

Langdock is an all-in-one AI platform designed for companies to roll out AI to all employees and enable developers to build custom AI workflows. It offers features like model-agnostic AI, privacy-first approach, scalability, and measurability. The platform provides various AI assistants for different use cases, AI-powered workplace search, and tools for building, deploying, and evaluating AI workflows. Langdock focuses on enterprise-grade security, compliance, and education to help users get started with AI implementation.

Inspect AI is a framework developed by the UK AI Safety Institute for evaluating large language models. It offers various built-in components for prompt engineering, tool usage, multi-turn dialog, and model graded evaluations. Users can extend Inspect by adding new elicitation and scoring techniques through additional Python packages. The tool aims to provide a comprehensive solution for assessing the performance and safety of language models.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

Gemini is an open-source model designed to handle multiple modalities such as text, audio, images, and videos. It utilizes a transformer architecture with special decoders for text and image generation. The model processes input sequences by transforming them into tokens and then decoding them to generate image outputs. Gemini differs from other models by directly feeding image embeddings into the transformer instead of using a visual transformer encoder. The model also includes a component called Codi for conditional generation. Gemini aims to effectively integrate image, audio, and video embeddings to enhance its performance.

Skyrim is a weather forecasting tool that enables users to run large weather models using consumer-grade GPUs. It provides access to state-of-the-art foundational weather models through a well-maintained infrastructure. Users can forecast weather conditions, such as wind speed and direction, by running simulations on their own GPUs or using modal volume or cloud services like s3 buckets. Skyrim supports various large weather models like Graphcast, Pangu, Fourcastnet, and DLWP, with plans for future enhancements like ensemble prediction and model quantization.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

PyCM is a Python library for multi-class confusion matrices, providing support for input data vectors and direct matrices. It is a comprehensive tool for post-classification model evaluation, offering a wide range of metrics for predictive models and accurate evaluation of various classifiers. PyCM is designed for data scientists who require diverse metrics for their models.

The Korean SAT LLM Leaderboard is a benchmarking project that allows users to test their fine-tuned Korean language models on a 10-year dataset of the Korean College Scholastic Ability Test (CSAT). The project provides a platform to compare human academic ability with the performance of large language models (LLMs) on various question types to assess reading comprehension, critical thinking, and sentence interpretation skills. It aims to share benchmark data, utilize a reliable evaluation dataset curated by the Korea Institute for Curriculum and Evaluation, provide annual updates to prevent data leakage, and promote open-source LLM advancement for achieving top-tier performance on the Korean CSAT.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

A Rust based tool to evaluate LLM models, prompts and model params. It automates the process of selecting the best model parameters, given an LLM model and a prompt, iterating over the possible combinations and letting the user visually inspect the results. The tool assumes the user has Ollama installed and serving endpoints, either in `localhost` or in a remote server. Key features include: * Automatically fetches models from local or remote Ollama servers * Iterates over different models and params to generate inferences * A/B test prompts on different models simultaneously * Allows multiple iterations for each combination of parameters * Makes synchronous inference calls to avoid spamming servers * Optionally outputs inference parameters and response metadata (inference time, tokens and tokens/s) * Refetching of individual inference calls * Model selection can be filtered by name * List experiments which can be downloaded in JSON format * Configurable inference timeout * Custom default parameters and system prompts can be defined in settings

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

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. |  |

AIConfig is a framework that makes it easy to build generative AI applications for production. It manages generative AI prompts, models and model parameters as JSON-serializable configs that can be version controlled, evaluated, monitored and opened in a local editor for rapid prototyping. It allows you to store and iterate on generative AI behavior separately from your application code, offering a streamlined AI development workflow.

Awesome-LLM-Inference: A curated list of 📙Awesome LLM Inference Papers with Codes, check 📖Contents for more details. This repo is still updated frequently ~ 👨‍💻‍ Welcome to star ⭐️ or submit a PR to this repo!

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.

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