Best AI tools for< Handle Parallelism >

Meticulous is an AI tool that revolutionizes frontend testing by automatically generating and maintaining test suites for web applications. It eliminates the need for manual test writing and maintenance, ensuring comprehensive test coverage without the hassle. Meticulous uses AI to monitor user interactions, generate test suites, and provide visual end-to-end testing capabilities. It offers lightning-fast testing, parallelized across a compute cluster, and integrates seamlessly with existing test suites. The tool is battle-tested to handle complex applications and provides developers with confidence in their code changes.

Ambi Robotics is an AI-powered robotics company that offers solutions for parcel sortation. Their innovative technology combines hardware and software to empower people to handle more efficiently. With solutions like AmbiSort A-Series and AmbiSort B-Series, they provide AI-powered robotic small parcel sorting and modular parcel induction and sorting systems. Ambi Robotics focuses on enhancing efficiency, scaling seamlessly, and delivering customer-centered experiences. Their technology includes Sim2Real AI Robot dexterity for real-world simulation and intelligent gripper technology for precise pick-and-place capabilities. The company aims to optimize facility performance, maximize sorting accuracy, and boost efficiency with reliable uptime. Ambi Robotics is dedicated to providing solutions that are easy to deploy, powerful, and seamlessly integrate with existing workflows.

Ticket AI is a Discord bot that automates customer support by answering tickets with AI. It simplifies support by allowing users to upload training data, such as support documents, and then using that data to answer customer questions. Ticket AI is easy to use, with no coding experience required, and it offers features such as custom support channels, ephemeral replies, and 24/7 availability. With Ticket AI, businesses can save time and improve the efficiency of their customer support.

Resolvd is an AI-powered incident resolution platform that creates a knowledge base of logs, data sources, and apps to autonomously diagnose and resolve incidents. It helps cut down response time, reduce manual log review efforts, and streamline data querying with automated anomaly detection. Resolvd integrates with various systems like Slack, Jira, and PagerDuty to deliver insights in real-time and supercharge incident response.

Tipis AI is an AI assistant for data processing that uses Large Language Models (LLMs) to quickly read and analyze mainstream documents with enhanced precision. It can also generate charts, integrate with a wide range of mainstream databases and data sources, and facilitate seamless collaboration with other team members. Tipis AI is easy to use and requires no configuration.

Tactiq is a live transcription and AI summary tool for Google Meet, Zoom, and MS Teams. It provides real-time transcriptions, speaker identification, and AI-powered insights to help users focus on the meeting and take effective notes. Tactiq also offers one-click AI actions, such as generating meeting summaries, crafting follow-up emails, and formatting project updates, to streamline post-meeting workflows.

ScribVet is an AI Veterinary Scribe application that allows veterinarians to write veterinary records quickly and accurately by recording their observations during exams. The AI tool converts spoken words into structured medical notes, saving time and effort in documentation. ScribVet supports multiple languages and offers diverse templates for various document types, making it a versatile tool for veterinary care practices.

Collato is an AI assistant designed to help product teams save time on writing documents, answering questions, and generating new content. It can find, summarize, and generate new content based on your own product knowledge, saving you hours in manual work. Collato is also self-hosted, so you can keep your data private and secure.

Jason AI is a conversational AI assistant designed specifically for B2B sales professionals. It automates outreach sequences, handles prospect responses, and books meetings, freeing up sales reps to focus on closing deals. Jason AI uses advanced natural language processing (NLP) to understand the context of conversations and respond in a personalized and engaging way. It integrates with popular CRM and email platforms, making it easy to use and manage.

Rgx.tools is an AI-powered text-to-regex generator that helps users create regular expressions quickly and easily. It is a wrapper around OpenAI's gpt-3.5-chat model, which generates clean, readable, and efficient regular expressions based on user input. Rgx.tools is designed to make the process of writing regular expressions less painful and more accessible, even for those with limited experience.

Capital Companion is an AI-powered trading and investing platform designed to provide users with a competitive edge in the markets. The platform offers a range of features including 24/7 AI assistant support, intelligent trading recommendations, risk analysis tools, real-time stock analytics, market sentiment analysis, and pattern recognition for technical analysis. By leveraging artificial intelligence, Capital Companion aims to help traders make well-informed decisions and protect their investments in a dynamic market environment.

Wisedocs is an AI-powered platform that specializes in medical record reviews, summaries, and insights for claims processing. The platform offers intelligent features such as medical chronologies, workflows, deduplication, intelligent OCR, and insights summaries. Wisedocs streamlines the process of reviewing medical records for insurance, legal, and independent medical evaluation firms, providing speed, accuracy, and efficiency in claims processing. The platform automates tasks that were previously laborious and error-prone, making it a valuable tool for industries dealing with complex medical records.

CallBud is an AI tool designed to assist users in making appointment calls. It serves as a virtual assistant that can handle the task of scheduling appointments over the phone. With CallBud, users can save time and effort by automating the process of making calls and managing their appointments efficiently. The tool is user-friendly and provides a convenient solution for individuals who need assistance with their call-related tasks.

InteractIQ is an AI-powered customer service solution that helps businesses automate support, generate leads, and provide a 24/7 customizable chatbot. It uses AI to categorize and prioritize support tickets, provide instant replies, and offer multilingual support. InteractIQ integrates with various platforms and offers customization options to match brand identity. It combines AI capabilities with human support to enhance customer engagement and streamline support operations.

Lemon Squeezy is an all-in-one platform designed for software companies to handle payments, subscriptions, global tax compliance, fraud prevention, and more. It offers features like global tax compliance, borderless SaaS payments, instant payment methods, local currency support, AI fraud prevention, and failed payment recovery. The platform also provides tools for ecommerce, marketing, reporting, and developer integration. Lemon Squeezy aims to simplify running a software business by offering a comprehensive solution for various business needs.

LangCall is an AI-powered application that allows users to skip the hassle of making phone calls by letting AI agents handle the entire process. From navigating phone menus to connecting you with a human representative, LangCall ensures hold-free calls and fully automated AI interactions. Users can monitor call conversations in real-time and receive AI-generated summaries online. With a simple 1-2-3 process, LangCall offers a user-friendly web interface for effortless call management. The application offers different pricing plans based on usage, starting from a free plan with limited AI calls to premium plans for higher usage.

Imagen is a personalized AI photo editing assistant that offers solutions for editing, culling, and cloud storage. It provides professional photographers with an AI-powered post-production solution that learns their personal style, saves time, and offers consistent, accurate, and personalized editing in under 0.5 seconds per photo. Imagen also features a Personal AI Profile that evolves and learns from the user, additional AI tools like Crop, Straighten, Subject Mask, and Smooth Skin, and access to Talent AI Profiles by leading international photographers. The application aims to streamline the editing workflow, enhance efficiency, and provide a seamless cloud storage solution for photographers.

EBI.AI is a customer service AI assistant that can help businesses with a variety of tasks, such as answering customer questions, resolving issues, and providing support. It is a self-serve platform that allows businesses to create and launch their own AI assistant in minutes. EBI.AI also offers a range of features, such as natural language processing, human-in-the-loop support, and integrations with other business systems. With EBI.AI, businesses can improve customer satisfaction, reduce costs, and increase efficiency.

Retell AI provides a Conversational Voice API that enables developers to integrate human-like voice interactions into their applications. With Retell AI's API, developers can easily connect their own Large Language Models (LLMs) to create AI-powered voice agents that can engage in natural and engaging conversations. Retell AI's API offers a range of features, including ultra-low latency, realistic voices with emotions, interruption handling, and end-of-turn detection, ensuring seamless and lifelike conversations. Developers can also customize various aspects of the conversation experience, such as voice stability, backchanneling, and custom voice cloning, to tailor the AI agent to their specific needs. Retell AI's API is designed to be easy to integrate with existing LLMs and frontend applications, making it accessible to developers of all levels.

Easy Apply is an AI-powered application designed to simplify and enhance the job search process. It offers advanced features such as AI-powered resumes and cover letters, personalized job recommendations, and a beautiful resume builder. With Easy Apply, users can auto-apply to hundreds of jobs, increasing their chances of landing their dream job. The application aims to make job hunting smarter, faster, and more efficient for job seekers.

qlora-pipe is a pipeline parallel training script designed for efficiently training large language models that cannot fit on one GPU. It supports QLoRA, LoRA, and full fine-tuning, with efficient model loading and the ability to load any dataset that Axolotl can handle. The script allows for raw text training, resuming training from a checkpoint, logging metrics to Tensorboard, specifying a separate evaluation dataset, training on multiple datasets simultaneously, and supports various models like Llama, Mistral, Mixtral, Qwen-1.5, and Cohere (Command R). It handles pipeline- and data-parallelism using Deepspeed, enabling users to set the number of GPUs, pipeline stages, and gradient accumulation steps for optimal utilization.

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system. The core features of SGLang include: - **A Flexible Front-End Language**: This allows for easy programming of LLM applications with multiple chained generation calls, advanced prompting techniques, control flow, multiple modalities, parallelism, and external interaction. - **A High-Performance Runtime with RadixAttention**: This feature significantly accelerates the execution of complex LLM programs by automatic KV cache reuse across multiple calls. It also supports other common techniques like continuous batching and tensor parallelism.

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.

tinyllm is a lightweight framework designed for developing, debugging, and monitoring LLM and Agent powered applications at scale. It aims to simplify code while enabling users to create complex agents or LLM workflows in production. The core classes, Function and FunctionStream, standardize and control LLM, ToolStore, and relevant calls for scalable production use. It offers structured handling of function execution, including input/output validation, error handling, evaluation, and more, all while maintaining code readability. Users can create chains with prompts, LLM models, and evaluators in a single file without the need for extensive class definitions or spaghetti code. Additionally, tinyllm integrates with various libraries like Langfuse and provides tools for prompt engineering, observability, logging, and finite state machine design.

This repository contains an implementation of Ring Attention, a technique for processing large sequences in transformers. Ring Attention splits the data across the sequence dimension and applies ring reduce to the processing of the tiles of the attention matrix, similar to flash attention. It also includes support for Striped Attention, a follow-up paper that permutes the sequence for better workload balancing for autoregressive transformers, and grouped query attention, which saves on communication costs during the ring reduce. The repository includes a CUDA version of the flash attention kernel, which is used for the forward and backward passes of the ring attention. It also includes logic for splitting the sequence evenly among ranks, either within the attention function or in the external ring transformer wrapper, and basic test cases with two processes to check for equivalent output and gradients.

MSCCL++ is a GPU-driven communication stack for scalable AI applications. It provides a highly efficient and customizable communication stack for distributed GPU applications. MSCCL++ redefines inter-GPU communication interfaces, delivering a highly efficient and customizable communication stack for distributed GPU applications. Its design is specifically tailored to accommodate diverse performance optimization scenarios often encountered in state-of-the-art AI applications. MSCCL++ provides communication abstractions at the lowest level close to hardware and at the highest level close to application API. The lowest level of abstraction is ultra light weight which enables a user to implement logics of data movement for a collective operation such as AllReduce inside a GPU kernel extremely efficiently without worrying about memory ordering of different ops. The modularity of MSCCL++ enables a user to construct the building blocks of MSCCL++ in a high level abstraction in Python and feed them to a CUDA kernel in order to facilitate the user's productivity. MSCCL++ provides fine-grained synchronous and asynchronous 0-copy 1-sided abstracts for communication primitives such as `put()`, `get()`, `signal()`, `flush()`, and `wait()`. The 1-sided abstractions allows a user to asynchronously `put()` their data on the remote GPU as soon as it is ready without requiring the remote side to issue any receive instruction. This enables users to easily implement flexible communication logics, such as overlapping communication with computation, or implementing customized collective communication algorithms without worrying about potential deadlocks. Additionally, the 0-copy capability enables MSCCL++ to directly transfer data between user's buffers without using intermediate internal buffers which saves GPU bandwidth and memory capacity. MSCCL++ provides consistent abstractions regardless of the location of the remote GPU (either on the local node or on a remote node) or the underlying link (either NVLink/xGMI or InfiniBand). This simplifies the code for inter-GPU communication, which is often complex due to memory ordering of GPU/CPU read/writes and therefore, is error-prone.

TornadoVM is a plug-in to OpenJDK and GraalVM that allows programmers to automatically run Java programs on heterogeneous hardware. TornadoVM targets OpenCL, PTX and SPIR-V compatible devices which include multi-core CPUs, dedicated GPUs (Intel, NVIDIA, AMD), integrated GPUs (Intel HD Graphics and ARM Mali), and FPGAs (Intel and Xilinx).

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.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

Pax is a framework to configure and run machine learning experiments on top of Jax.

Burr is a Python library and UI that makes it easy to develop applications that make decisions based on state (chatbots, agents, simulations, etc...). Burr includes a UI that can track/monitor those decisions in real time.

Julep is an advanced platform for creating stateful and functional AI apps powered by large language models. It offers features like statefulness by design, automatic function calling, production-ready deployment, cron-like asynchronous functions, 90+ built-in tools, and the ability to switch between different LLMs easily. Users can build AI applications without the need to write code for embedding, saving, and retrieving conversation history, and can connect to third-party applications using Composio. Julep simplifies the process of getting started with AI apps, whether they are conversational, functional, or agentic.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

Welcome to AwkwardSituation Solver GPT! I am here to help you handle those cringe-worthy social moments with a touch of humor and creativity.

Using "Crucial Conversations," I can help you handle work and home challenges with confidence and clarity.

Role-play with a narcissist emulator: Build confidence to handle challenging personalities in professional or personal life.

Architecture and Construction Firms handle sensitive project data, client information, and architectural plans, necessitating strict data privacy measures.

Nutritionists and Dietitians handle health information, dietary preferences, and personal goals of clients, these professionals must ensure the confidentiality and security of this data.

Data Privacy for Event Management and Ticketing Services handle personal data such as names, contact details, and payment information for event registrations and ticket purchases.

Freelancers and Independent Consultants, individuals in these roles often handle client data, project specifics, and personal contact information, requiring them to be vigilant about data privacy.

Start with a genre and I'll help you develop a rough story outline. You can handle the rest

Fill legal forms & complex PDF documents easily! Upload a file, provide data sources and I'll handle the rest.

Private Investigators and Security Firms, given the nature of their work, handle highly sensitive information and must maintain strict confidentiality and data privacy standards.

Spy, Gentleman, Enigma. Can you handle the deception?

Expert on lye, providing detailed chemical information and safety guidelines.

KAI, votre assistant ultime dédié à tous l'univers Javascript (VueJS, React, Angular et tous les autres framework frontend Javascript) dans son ensemble, sympathique et serviable. ALL LANGUAGES

This GPT is a specialized assistant for Flask, the popular web framework in Python. It is designed to help both beginners and experienced developers with Flask-related queries, ranging from basic setup and routing to advanced features like database integration and application scaling.

Expert in backend development and file handling.

I provide answers based on up-to-date official Alpine.js documentation.

ZIO 2.0とZIO HTTPに特化した専門家のガイド

律所销售陪练模拟器，提升沟通技巧

Expert in driving advice and tips

Balances professional and approachable responses, adhering to conventional standards.