Best AI tools for< Increase Throughput >

Just Walk Out technology is a checkout-free shopping experience that allows customers to enter a store, grab whatever they want, and quickly get back to their day, without having to wait in a checkout line or stop at a cashier. The technology uses camera vision and sensor fusion, or RFID technology which allows them to simply walk away with their items. Just Walk Out technology is designed to increase revenue with cost-optimized technology, maximize space productivity, increase throughput, optimize operational costs, and improve shopper loyalty.

Spot AI is a Video AI platform that transforms cameras into intelligent tools to secure, protect, and optimize operations. It offers features such as real-time visibility, incident resolution, worker safety, and training. The platform includes AI agents, semantic search, and state-of-the-art video AI models to drive business outcomes and enhance productivity. Spot AI is trusted by over 1,000 organizations to reduce workplace injuries, improve incident resolution time, and increase operational throughput.

Globality is an AI-enabled platform that offers autonomous sourcing solutions for modern, global enterprises. The platform leverages AI to provide guidance and insight throughout the sourcing process, enabling businesses to save money, accelerate decision-making, and create new investment opportunities. Globality guarantees significant ROI in the first year and empowers organizations to spend smarter by cutting costs and driving growth. The platform automates sourcing, enhances visibility and analytics, and enables more strategic decision-making for procurement teams.

Kyros College Prep is an AI-assisted platform designed to help students with their college applications. The platform utilizes artificial intelligence to provide personalized guidance and support throughout the college application process. By leveraging AI technology, Kyros College Prep aims to streamline the application process, enhance the quality of applications, and increase students' chances of getting accepted into their desired colleges.

Joinery is an AI-powered recruitment platform that combines AI hiring with human decisions to streamline the hiring process. It offers comprehensive hiring tools, including candidate summary cards, Culture & Fit Scores, and an AI Hiring Assistant, to help companies make informed hiring decisions. Joinery aims to remove bias, increase efficiency, and promote diversity and inclusion in recruitment. The platform automates resume screening, engages candidates with personalized dialogues, and provides objective assessments of culture and skill fit. Joinery enhances transparency, engagement, and communication throughout the hiring process, ensuring a positive experience for both candidates and hiring teams.

The Trend Video Idea Generator is an AI-powered tool designed to help users create engaging video ideas for social media platforms. By leveraging daily trends and AI technology, the tool assists users in generating unique and trending video concepts. Users can access the platform to spark creativity, enhance their social media presence, and stay up-to-date with the latest trends in the digital landscape. The tool aims to streamline the video ideation process and provide users with valuable insights to optimize their content strategy.

Persado is a leading provider of Generative AI (GenAI) solutions for marketing and customer engagement. Its Motivation AI platform leverages advanced AI, deep learning models, and a vast knowledge base of marketing communications to generate personalized language that motivates customers to engage and act. Persado's AI-powered solutions have been proven to drive significant revenue growth and conversion rate improvements for its customers across various industries, including retail, financial services, travel, and telecommunications.

Growth Suite is an AI-powered buying intention targeting and smart discounts app for Shopify stores. It helps businesses understand each visitor's buying intention in real-time and offer them irresistible deals when their interest peaks. The app seamlessly integrates with Shopify stores, offering a native-like experience that enhances brand image while boosting conversions.

Whatmore is an AI-powered video commerce platform that helps e-commerce stores create engaging and shoppable videos to increase conversion rates. With Whatmore, you can easily create short videos in seconds, transform product images into videos, and add music and trending effects to your videos. You can also use Whatmore to import videos from Instagram and TikTok, and add shoppable tags to your videos to make them interactive. Whatmore offers a variety of features to help you create and share your videos, including a drag-and-drop video editor, a library of pre-made video templates, and a built-in video player. Whatmore also provides detailed analytics to help you track the performance of your videos and see how they are impacting your sales.

Sale Whale is an AI-powered sales rep chatbot that helps businesses increase their sales and deliver success. Our chatbots are designed to handle customer inquiries, provide personalized recommendations, and close sales – all in real-time. We also offer a customer support bot that can help ensure clients understand how to use your product or service, so they can get the most out of it and stay around longer.

Brain.fm is a website that offers scientifically proven music to increase focus and productivity. The music is designed to blend into the background and stimulate the brain with gentle rhythmic pulses that support sustained attention. Brain.fm's music is not binaural beats, but rather an updated understanding of neuroscience and auditory processing to create a more effective and powerful solution.

GrowASO is an AI-driven App Store Optimization (ASO) platform that helps app developers and marketers increase their app downloads, revenue, and rankings. It offers a range of features including AI-powered app listing optimization, app icon experiments, keyword traffic and difficulty estimates, keyword rank tracking, and competitor analysis. GrowASO supports both iOS and Android apps and provides cross-platform optimization.

Plugger is an AI-powered graphic design assistant that automates various design tasks to help businesses create high-quality marketing materials, social media graphics, e-commerce photography, and more. With diverse capabilities and expertise in hundreds of styles, Plugger simplifies the design process and offers data-driven designs in seconds. It saves time, improves design quality, and enhances consistency, making it a valuable tool for marketing teams, startups, and e-commerce businesses.

Fountain is an AI-powered frontline workforce management platform that offers effortless hiring, efficient onboarding, easy HR compliance, simplified sourcing, and intelligent targeting solutions. It helps businesses streamline their hiring processes, increase retention rates, and optimize workforce experiences. Fountain's AI products enhance recruitment efficiency and deliver high volume hiring results through automated workflows and advanced AI-enabled tools. The platform also provides tailored features, early access to new products, and discounted pricing for users. With a focus on frontline hiring, Fountain collaborates with customers to develop new features and products regularly, ensuring a user-friendly experience for all.

Userpilot is a product growth platform that offers a comprehensive set of solutions to help product teams activate more users, increase feature adoption, and drive expansion revenue. The platform includes features such as product analytics, user engagement tools, user feedback mechanisms, user onboarding solutions, churn prevention strategies, in-app support, and product launch capabilities. Userpilot aims to help companies improve their product growth by providing personalized user experiences and actionable insights based on user behavior.

Wizart is a comprehensive platform that provides AI-powered visualization solutions for businesses. It offers a range of tools and services to help companies create engaging and immersive product visualizations, including a visualizer, material cloud, and vision API. With Wizart, businesses can eliminate the imagination gap and increase customer engagement by providing high-quality product content, such as renders, videos, and interactive models.

USM Business Systems is a leading AI mobile app development company in the USA and Europe. They offer a wide range of services including workforce management, data quality solutions, cloud migration, HR management, and mobile app development. With a focus on artificial intelligence and machine learning, they help businesses accelerate their digital transformation and boost productivity. USM provides custom AI app development services tailored to each client's unique needs, delivering innovative solutions that enhance market value. They also offer workforce services, AI engineering, and top-notch staff augmentation services. USM is committed to providing quality customer service and helping clients unlock new opportunities through advanced AI technology.

Fliz is an AI-powered video creator tool that automates the process of generating high-quality videos from various content sources such as articles, product listings, and ads. Users can simply input a URL and choose a format to create engaging videos for their websites and social media platforms. With Fliz, users can transform blog posts into impactful videos, convert product listings into sales videos, and turn ads into compelling visual content. The tool offers different video styles and formats to cater to different needs, making video creation easy and efficient.

Upscalepics is a free online tool that allows users to upscale and enhance images without losing quality. It uses artificial intelligence to increase the resolution of images, making them sharper and more detailed. Upscalepics is easy to use and can be used to upscale images of any size or format. It is a great tool for photographers, graphic designers, and anyone else who needs to improve the quality of their images.

Pic Copilot is an AI-powered marketing tool designed to help e-commerce businesses create professional-looking marketing ads with just one click. It offers a range of features including AI product ads creator, background remover, instant backgrounds, image translator, and AI fashion models. With its vast database of marketing images and expert-designed templates, Pic Copilot helps businesses highlight product selling points and increase customer engagement.

LMCache is a serving engine extension designed to reduce time to first token (TTFT) and increase throughput, particularly in long-context scenarios. It stores key-value caches of reusable texts across different locations like GPU, CPU DRAM, and Local Disk, allowing the reuse of any text in any serving engine instance. By combining LMCache with vLLM, significant delay savings and GPU cycle reduction are achieved in various large language model (LLM) use cases, such as multi-round question answering and retrieval-augmented generation (RAG). LMCache provides integration with the latest vLLM version, offering both online serving and offline inference capabilities. It supports sharing key-value caches across multiple vLLM instances and aims to provide stable support for non-prefix key-value caches along with user and developer documentation.

Liger Kernel is a collection of Triton kernels designed for LLM training, increasing training throughput by 20% and reducing memory usage by 60%. It includes Hugging Face Compatible modules like RMSNorm, RoPE, SwiGLU, CrossEntropy, and FusedLinearCrossEntropy. The tool works with Flash Attention, PyTorch FSDP, and Microsoft DeepSpeed, aiming to enhance model efficiency and performance for researchers, ML practitioners, and curious novices.

NeMo Curator is a GPU-accelerated open-source framework designed for efficient large language model data curation. It provides scalable dataset preparation for tasks like foundation model pretraining, domain-adaptive pretraining, supervised fine-tuning, and parameter-efficient fine-tuning. The library leverages GPUs with Dask and RAPIDS to accelerate data curation, offering customizable and modular interfaces for pipeline expansion and model convergence. Key features include data download, text extraction, quality filtering, deduplication, downstream-task decontamination, distributed data classification, and PII redaction. NeMo Curator is suitable for curating high-quality datasets for large language model training.

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.

KIVI is a plug-and-play 2bit KV cache quantization algorithm optimizing memory usage by quantizing key cache per-channel and value cache per-token to 2bit. It enables LLMs to maintain quality while reducing memory usage, allowing larger batch sizes and increasing throughput in real LLM inference workloads.

Mooncake is a serving platform for Kimi, a leading LLM service provided by Moonshot AI. It features a KVCache-centric disaggregated architecture that separates prefill and decoding clusters, leveraging underutilized CPU, DRAM, and SSD resources of the GPU cluster. Mooncake's scheduler balances throughput and latency-related SLOs, with a prediction-based early rejection policy for highly overloaded scenarios. It excels in long-context scenarios, achieving up to a 525% increase in throughput while handling 75% more requests under real workloads.

The 'fms-fsdp' repository is a companion to the Foundation Model Stack, providing a (pre)training example to efficiently train FMS models, specifically Llama2, using native PyTorch features like FSDP for training and SDPA implementation of Flash attention v2. It focuses on leveraging FSDP for training efficiently, not as an end-to-end framework. The repo benchmarks training throughput on different GPUs, shares strategies, and provides installation and training instructions. It trained a model on IBM curated data achieving high efficiency and performance metrics.

QServe is a serving system designed for efficient and accurate Large Language Models (LLM) on GPUs with W4A8KV4 quantization. It achieves higher throughput compared to leading industry solutions, allowing users to achieve A100-level throughput on cheaper L40S GPUs. The system introduces the QoQ quantization algorithm with 4-bit weight, 8-bit activation, and 4-bit KV cache, addressing runtime overhead challenges. QServe improves serving throughput for various LLM models by implementing compute-aware weight reordering, register-level parallelism, and fused attention memory-bound techniques.

LLamaTuner is a repository for the Efficient Finetuning of Quantized LLMs project, focusing on building and sharing instruction-following Chinese baichuan-7b/LLaMA/Pythia/GLM model tuning methods. The project enables training on a single Nvidia RTX-2080TI and RTX-3090 for multi-round chatbot training. It utilizes bitsandbytes for quantization and is integrated with Huggingface's PEFT and transformers libraries. The repository supports various models, training approaches, and datasets for supervised fine-tuning, LoRA, QLoRA, and more. It also provides tools for data preprocessing and offers models in the Hugging Face model hub for inference and finetuning. The project is licensed under Apache 2.0 and acknowledges contributions from various open-source contributors.

XTuner is an efficient, flexible, and full-featured toolkit for fine-tuning large models. It supports various LLMs (InternLM, Mixtral-8x7B, Llama 2, ChatGLM, Qwen, Baichuan, ...), VLMs (LLaVA), and various training algorithms (QLoRA, LoRA, full-parameter fine-tune). XTuner also provides tools for chatting with pretrained / fine-tuned LLMs and deploying fine-tuned LLMs with any other framework, such as LMDeploy.

Redis Vector Library (RedisVL) is a Python client library for building AI applications on top of Redis. It provides a high-level interface for managing vector indexes, performing vector search, and integrating with popular embedding models and providers. RedisVL is designed to make it easy for developers to build and deploy AI applications that leverage the speed, flexibility, and reliability of Redis.

The Python Redis Vector Library (RedisVL) is a tailor-made client for AI applications leveraging Redis. It enhances applications with Redis' speed, flexibility, and reliability, incorporating capabilities like vector-based semantic search, full-text search, and geo-spatial search. The library bridges the gap between the emerging AI-native developer ecosystem and the capabilities of Redis by providing a lightweight, elegant, and intuitive interface. It abstracts the features of Redis into a grammar that is more aligned to the needs of today's AI/ML Engineers or Data Scientists.

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.

GLake is an acceleration library and utilities designed to optimize GPU memory management and IO transmission for AI large model training and inference. It addresses challenges such as GPU memory bottleneck and IO transmission bottleneck by providing efficient memory pooling, sharing, and tiering, as well as multi-path acceleration for CPU-GPU transmission. GLake is easy to use, open for extension, and focuses on improving training throughput, saving inference memory, and accelerating IO transmission. It offers features like memory fragmentation reduction, memory deduplication, and built-in security mechanisms for troubleshooting GPU memory issues.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

FlashRank is an ultra-lite and super-fast Python library designed to add re-ranking capabilities to existing search and retrieval pipelines. It is based on state-of-the-art Language Models (LLMs) and cross-encoders, offering support for pairwise/pointwise rerankers and listwise LLM-based rerankers. The library boasts the tiniest reranking model in the world (~4MB) and runs on CPU without the need for Torch or Transformers. FlashRank is cost-conscious, with a focus on low cost per invocation and smaller package size for efficient serverless deployments. It supports various models like ms-marco-TinyBERT, ms-marco-MiniLM, rank-T5-flan, ms-marco-MultiBERT, and more, with plans for future model additions. The tool is ideal for enhancing search precision and speed in scenarios where lightweight models with competitive performance are preferred.

Run your own AI cluster at home with everyday devices. Exo is experimental software that unifies existing devices into a powerful GPU, supporting wide model compatibility, dynamic model partitioning, automatic device discovery, ChatGPT-compatible API, and device equality. It does not use a master-worker architecture, allowing devices to connect peer-to-peer. Exo supports different partitioning strategies like ring memory weighted partitioning. Installation is recommended from source. Documentation includes example usage on multiple MacOS devices and information on inference engines and networking modules. Known issues include the iOS implementation lagging behind Python.

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.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework known for its lightweight design, scalability, and high-speed performance. It offers features like tri-process asynchronous collaboration, Nopad for efficient attention operations, dynamic batch scheduling, FlashAttention integration, tensor parallelism, Token Attention for zero memory waste, and Int8KV Cache. The tool supports various models like BLOOM, LLaMA, StarCoder, Qwen-7b, ChatGLM2-6b, Baichuan-7b, Baichuan2-7b, Baichuan2-13b, InternLM-7b, Yi-34b, Qwen-VL, Llava-7b, Mixtral, Stablelm, and MiniCPM. Users can deploy and query models using the provided server launch commands and interact with multimodal models like QWen-VL and Llava using specific queries and images.

ENOVA is an open-source service for Large Language Model (LLM) deployment, monitoring, injection, and auto-scaling. It addresses challenges in deploying stable serverless LLM services on GPU clusters with auto-scaling by deconstructing the LLM service execution process and providing configuration recommendations and performance detection. Users can build and deploy LLM with few command lines, recommend optimal computing resources, experience LLM performance, observe operating status, achieve load balancing, and more. ENOVA ensures stable operation, cost-effectiveness, efficiency, and strong scalability of LLM services.

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