Best AI tools for< Boost Inference Speed >

Stable Fast 3D is a cutting-edge tool that rapidly generates high-quality 3D assets from a single 2D image in just 0.5 seconds. It offers features such as high-quality UV unwrapped mesh, material parameters, albedo colors with reduced illumination bake-in, and optional quad or triangle remeshing. The tool is versatile and can be used by game developers, virtual reality professionals, architects, designers, and others in graphic-intensive fields. Stable Fast 3D revolutionizes workflows by providing fast inference speeds and enhanced capabilities, making it a valuable asset for various industries.

HeyShort is an AI text-to-speech short video maker that allows users to effortlessly convert texts or social posts into impactful short videos. With advanced AI technology, HeyShort helps users boost their influence on platforms like TikTok, YouTube Shorts, and Instagram Reels. The tool offers multiple voice options, voice cloning, and supports multiple languages for diverse content creation. HeyShort aims to provide users with fast and easy video creation, professional voices, high-quality output, and increased reach without the need for technical skills.

Segwise is an AI tool designed to help game developers increase their game's Lifetime Value (LTV) by providing insights into player behavior and metrics. The tool uses AI agents to detect causal LTV drivers, root causes of LTV drops, and opportunities for growth. Segwise offers features such as running causal inference models on player data, hyper-segmenting player data, and providing instant answers to questions about LTV metrics. It also promises seamless integrations with gaming data sources and warehouses, ensuring data ownership and transparent pricing. The tool aims to simplify the process of improving LTV for game developers.

Modal is a high-performance cloud platform designed for developers, AI data, and ML teams. It offers a serverless environment for running generative AI models, large-scale batch jobs, job queues, and more. With Modal, users can bring their own code and leverage the platform's optimized container file system for fast cold boots and seamless autoscaling. The platform is engineered for large-scale workloads, allowing users to scale to hundreds of GPUs, pay only for what they use, and deploy functions to the cloud in seconds without the need for YAML or Dockerfiles. Modal also provides features for job scheduling, web endpoints, observability, and security compliance.

UpRizz is an AI-powered tool that helps users increase their Instagram followers and engagement by writing better comments. It uses advanced AI models to generate personalized comments that are tailored to each post, making it easy for users to connect with their audience and grow their influence on Instagram.

ReplyMind is an AI-powered application designed to enhance social engagement by providing thoughtful, funny, and relevant replies with just a click. It helps content creators, marketers, and business owners maximize their social media influence through personalized engaging interactions. With features like personalized reply experience, varied emotive tones, and support for multiple languages and platforms, ReplyMind simplifies the process of building meaningful networks and increasing social presence. Users can save time by generating meaningful and engaging replies effortlessly, boosting engagement and expanding their reach. The application is trusted by thousands of creators and offers different pricing plans to cater to varying needs and preferences.

boost.ai is a Conversational AI Platform designed for enterprises to automate customer service using AI chat and voice bots. The platform is powered by Generative AI technology, enabling hyper-personalized customer connections and high-quality interactions across all customer touchpoints. boost.ai helps businesses manage high traffic, increase customer satisfaction, and reduce costs by delivering outstanding customer experiences.

Blog Boost is an AI-driven tool designed to transform long-form content into captivating and reader-friendly material. By utilizing AI-driven formatting, Blog Boost aims to engage visitors and make blogs stand out among others. The tool offers a seamless experience for users looking to enhance their blog content and increase reader engagement.

AppsFlyer is an AI-powered platform that focuses on customer experience, engagement, and deep linking. It offers a comprehensive suite of measurement tools to track actions on mobile, web, and CTV, optimize creative performance using AI, and analyze marketing analytics. The platform helps businesses understand their mobile marketing ROI, prove the value of marketing campaigns, and boost revenue through exceptional customer experiences. AppsFlyer also provides solutions for audience segmentation, fraud protection, data collaboration, and partner marketplace integration. With a strong emphasis on privacy and security, AppsFlyer enables users to create personalized, contextual experiences that drive user acquisition, retention, and revenue.

vidIQ is a YouTube analytics and optimization tool that helps creators grow their channels. It offers a variety of features, including keyword research, competitor analysis, and video optimization. vidIQ also has a team of experts who provide personalized coaching and support.

VanceAI is an online platform that provides various AI-powered tools for photo enhancement, generation, and editing. It offers a range of features such as AI upscaling, sharpening, denoising, background removal and generation, and more. VanceAI's tools are designed to help users improve the quality of their photos, enhance their creativity, and streamline their workflow. The platform is accessible online and through a downloadable software for Windows.

SmallTalk2Me is an AI-powered simulator designed to help users improve their spoken English. It offers a range of features, including mock job interviews, IELTS speaking test simulations, and daily stories and courses. The platform uses AI to provide users with instant feedback on their performance, helping them to identify areas for improvement and track their progress over time.

WOXO is an AI-powered video generator that helps content creators boost their YouTube and TikTok views. It offers a range of features to streamline the video creation process, including idea generation, quick editing, and scheduling. With WOXO, content creators can save time, overcome creative blocks, and ensure consistency in their video output.

Chatfuel is an advanced messaging platform that enables businesses to automate their communication on various channels, including Facebook, WhatsApp, Instagram, and their website. It offers a range of features to enhance customer engagement, sales, and support. With its AI-powered chatbots, businesses can provide personalized and efficient customer experiences, automate tasks, and drive conversions.

GPT Workspace is an AI tool that integrates ChatGPT and Gemini directly into Google Workspace applications such as Docs, Sheets, Slides, Drive, and Gmail. It enhances productivity by providing features like categorizing, summarizing, generating content, suggesting improvements, and crafting marketing narratives. With a focus on privacy and user control, GPT Workspace offers a seamless and efficient AI-powered experience for various tasks within Google Workspace.

Productly is an AI-powered sales tool that helps businesses boost their sales performance. It uses machine learning to analyze customer data and identify opportunities for growth. Productly provides personalized recommendations for each customer, helping sales teams close more deals and increase revenue.

VerbiAI is an AI-powered SEO content assistant designed for Shopify stores. It helps users effortlessly generate powerful, SEO-optimized content for products, collections, pages, and blog posts in multiple languages. By utilizing OpenAI's gpt-3.5-turbo model, VerbiAI ensures error-free content creation to boost SEO ranking and increase sales. The application offers customizable content generation options and excellent customer support through live chat and email.

Wiseone is an all-in-one AI tool that helps users save time, improve productivity, and expand knowledge during web searches and online reading. It offers various features such as multilingual PDF support, focus mode for distraction-free reading, cross-checking for diverse perspectives, simplified answers to complex questions, summarization of key takeaways, and exploration of related articles. Wiseone is highly regarded by users for its ease of use, efficiency, and ability to enhance the overall online reading and search experience.

Potion is an AI-powered video prospecting tool that helps sales professionals create personalized videos for their prospects at scale. The AI technology identifies dynamic elements and tailors videos for each prospect, enhancing engagement and conversions. Potion is user-friendly and easy to use, with no extensive technical knowledge required. It integrates with 50+ sales and marketing tools and is suitable for a wide range of professionals, including sales teams, marketing professionals, entrepreneurs, and anyone looking to connect with their audience through personalized video.

Cody is an AI-powered chatbot that can be trained on your business's knowledge base to provide instant answers to questions, help with creative work, troubleshoot issues, and brainstorm ideas. It can be used to boost employee efficiency, provide support, and brainstorm ideas. Cody is multilingual and can be integrated with your favorite tools.

T-MAC is a kernel library that directly supports mixed-precision matrix multiplication without the need for dequantization by utilizing lookup tables. It aims to boost low-bit LLM inference on CPUs by offering support for various low-bit models. T-MAC achieves significant speedup compared to SOTA CPU low-bit framework (llama.cpp) and can even perform well on lower-end devices like Raspberry Pi 5. The tool demonstrates superior performance over existing low-bit GEMM kernels on CPU, reduces power consumption, and provides energy savings. It achieves comparable performance to CUDA GPU on certain tasks while delivering considerable power and energy savings. T-MAC's method involves using lookup tables to support mpGEMM and employs key techniques like precomputing partial sums, shift and accumulate operations, and utilizing tbl/pshuf instructions for fast table lookup.

AWQ (Activation-aware Weight Quantization) is a tool designed for efficient and accurate low-bit weight quantization (INT3/4) for Large Language Models (LLMs). It supports instruction-tuned models and multi-modal LMs, providing features such as AWQ search for accurate quantization, pre-computed AWQ model zoo for various LLMs, memory-efficient 4-bit linear in PyTorch, and efficient CUDA kernel implementation for fast inference. The tool enables users to run large models on resource-constrained edge platforms, delivering more efficient responses with LLM/VLM chatbots through 4-bit inference.

TensorRT-LLM is an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM contains components to create Python and C++ runtimes that execute those TensorRT engines. It also includes a backend for integration with the NVIDIA Triton Inference Server; a production-quality system to serve LLMs. Models built with TensorRT-LLM can be executed on a wide range of configurations going from a single GPU to multiple nodes with multiple GPUs (using Tensor Parallelism and/or Pipeline Parallelism).

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.

Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.

LLM Reasoners is a library that enables LLMs to conduct complex reasoning, with advanced reasoning algorithms. It approaches multi-step reasoning as planning and searches for the optimal reasoning chain, which achieves the best balance of exploration vs exploitation with the idea of "World Model" and "Reward". Given any reasoning problem, simply define the reward function and an optional world model (explained below), and let LLM reasoners take care of the rest, including Reasoning Algorithms, Visualization, LLM calling, and more!

A curated list of Generative AI projects, tools, artworks, and 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.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

Atom is an accurate low-bit weight-activation quantization algorithm that combines mixed-precision, fine-grained group quantization, dynamic activation quantization, KV-cache quantization, and efficient CUDA kernels co-design. It introduces a low-bit quantization method, Atom, to maximize Large Language Models (LLMs) serving throughput with negligible accuracy loss. The codebase includes evaluation of perplexity and zero-shot accuracy, kernel benchmarking, and end-to-end evaluation. Atom significantly boosts serving throughput by using low-bit operators and reduces memory consumption via low-bit quantization.

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