Best AI tools for< Process Long Sequences >

Bizware AI is an all-in-one AI-powered platform designed to help businesses automate their sales and marketing processes, attract and close more customers, and build long-lasting client relationships on autopilot. The platform offers a wide range of features such as social media management, website chat widget, forms & surveys, automated nurture sequences, email & SMS marketing, phone system & autodialer, CRM & sales pipeline management, invoicing & payments, review & reputation management, and reporting & analytics. Bizware AI aims to streamline sales, generate more leads, build brand reputation, impress existing customers, and automate various tasks to help businesses grow efficiently.

SendShort is an AI-powered online tool designed to help users create viral short videos effortlessly. With features like AI-generated clips, faceless videos, auto B-roll, subtitles, voiceovers, and more, SendShort streamlines the process of turning long videos into engaging short clips suitable for various social media platforms. It offers a user-friendly interface that allows users to upload videos or paste YouTube links, and the AI takes care of the rest, from editing to scheduling. SendShort aims to empower creators, marketers, and businesses to enhance their video content creation and reach a wider audience with minimal effort and maximum impact.

Air is the world's first AI that can have full on 10-40 minute long phone calls that sound like a REAL human, with infinite memory, perfect recall, and can autonomously take actions across 5,000 plus applications. It can do the entire job of a full time agent without having to be trained, managed or motivated. It just works 24/7/365.

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.

Snapcut.ai is an AI-powered video editing tool that specializes in repurposing long videos into engaging viral shorts. It leverages advanced artificial intelligence algorithms to automate the editing process, making it quick and easy for users to create captivating short videos for social media platforms. With a user-friendly interface and intuitive features, Snapcut.ai is a go-to tool for content creators, marketers, and social media enthusiasts looking to enhance their video editing capabilities.

OpusClip is an AI-powered video repurposing tool that allows users to easily transform long videos into engaging short clips optimized for various social media platforms. The tool leverages big data analysis and AI technology to identify key moments in videos, add dynamic captions, and seamlessly create viral-worthy content. With features like AI b-roll generation, auto reframing, customizable brand templates, and social post scheduling, OpusClip streamlines the video editing process and helps users grow their online presence. The platform supports multiple languages and offers a free trial of its Pro Plan, making it accessible to a wide range of content creators and marketers.

Vizard.ai is an AI-powered video editing tool that helps users create social-ready video clips effortlessly. The tool leverages AI technology to automatically identify engaging parts in long video footages and generate short clips suitable for various social media platforms like TikTok, Instagram, and YouTube Shorts. With features like AI clipping, transcription, caption translation, and timeline editing, Vizard streamlines the video editing process, saving users time and effort. Trusted by over 5 million creators and businesses, Vizard offers a user-friendly interface and a range of tools to enhance video production and content creation.

BiteSyzed is an AI-powered video repurposing tool that transforms long videos into viral clips 10 times faster. The platform uses cutting-edge AI technology to automatically analyze and edit raw footage, extract captivating moments, and create cohesive video clips. Users can upload videos from YouTube, export clips in different aspect ratios, and share them with their audience effortlessly. Bitesyzed simplifies the video editing process by automating the creation of viral clips with AI-generated descriptions and hashtags, saving time and resources. The application is designed to help users create more engaging video content with minimal effort, catering to a wide range of users from content creators to marketers.

Brevity is an AI tool designed to transform long-form content into clear and concise summaries. It helps users save time by providing quick and efficient summaries of lengthy texts. With Brevity, users can easily extract key information without having to read through entire documents. The tool is user-friendly and suitable for various industries and purposes, making it a valuable asset for anyone looking to streamline their reading and research process.

Humata is a PDF AI that can summarize findings, compare documents, and search for answers in long technical papers. It is designed to help users save time and effort by automating the process of reading and understanding complex documents. Humata is easy to use and can be embedded in any webpage with a single click. It is also secure and reliable, with enterprise-grade data rooms and encryption to protect user data.

Copymate is an AI-powered SEO content generator that helps users create high-quality, long-form, and SEO-optimized articles in minutes. It offers features such as bulk generation, multilingual support, WordPress integration, GPT-4 integration, and multisite management. Copymate is designed to save users time, money, and increase productivity by streamlining the content generation process and reducing content costs by 98%. It also helps users boost their SEO and increase organic traffic by creating high-quality, relevant, and engaging content.

Castmagic is an AI-powered tool that helps users automate their content workflow by turning conversations into content like magic. It leverages AI to transcribe audio and video files, generate quality drafts based on context, and create various content assets such as articles, newsletters, social media posts, and more. Trusted by professionals, Castmagic streamlines the process of content creation for creators, podcasters, marketers, and other professionals who take content seriously.

Clips AI is an open-source Python library that automates the process of converting longform videos into clips. It is designed for audio-centric, narrative-based content like podcasts, interviews, speeches, and sermons. The tool segments videos based on transcripts and dynamically resizes aspect ratios to focus on the current speaker. Clips AI simplifies the task of creating engaging video content by streamlining the clipping and resizing processes.

reap is a generative AI video repurposing tool that transforms long-form content into social-ready shorts with a single click. It allows users to create viral shorts and reels using AI video clipping, publish high-quality short content on a daily basis, and attract more fans to expedite growth and monetization. The tool is designed to cater to content creators by automatically extracting engaging segments from videos, ensuring speakers are in focus, generating captivating subtitles, and offering multiple formats for repurposing content across social media platforms. With features like AI B-Rolls, multi-language support, studio management, and active scene detection, reap aims to streamline the video production process and enhance content creation.

AIContentfy is an all-in-one SEO content platform that helps businesses create high-quality, search engine optimized content quickly and easily. With AIContentfy, you can generate long-form articles, blog posts, and other types of content in minutes, using the latest AI technology. AIContentfy also includes a range of features to help you optimize your content for search engines, including keyword research, content optimization, and analytics. With AIContentfy, you can save time and money on content creation, while also improving the quality and reach of your content.

Moonbeam is an AI writing assistant designed to help users create various types of content such as essays, articles, stories, and blogs. It offers a range of templates and features to streamline the writing process, including a text expander and a custom style generator. Moonbeam stands out for its ability to generate content clusters, provide real-time feedback through Smart Chat, and facilitate team collaboration. Users can also benefit from its powerful text editor and seamless integration with GPT-4 technology for enhanced content creation.

Junia AI is a leading AI writer tool designed for SEO and content generation. It offers a comprehensive solution for creating high-quality, SEO-optimized, and ready-to-rank content in minutes. With features like AI writer, auto-generation of images, auto SEO research, and long-form content creation, Junia AI streamlines the content creation process. Users can elevate their site's SEO, drive organic traffic, and improve visibility with the help of this AI application. Junia AI stands out with its ability to generate people-first content, tackle keyword research, optimize meta data, and enhance content quality. It is a game-changer for bloggers, copywriters, and businesses looking to enhance their content creation workflow with AI technology.

Junia AI is a leading AI writer tool designed for SEO and content generation. It offers a comprehensive solution for creating high-quality, SEO-optimized, and ready-to-rank content in minutes. With features like AI writer, auto-generating images, auto SEO research, and long-form content creation, Junia AI streamlines the content creation process. It stands out with its ability to drive organic traffic, improve visibility, and enhance SEO ranking. Users can easily create engaging, authentic, and SEO-friendly long-form content with Junia AI, making it a valuable tool for content creators and businesses.

Klipify is an AI-powered video creation tool that empowers content creators to effortlessly transform long videos into viral shorts. It offers professional-friendly tools for extracting clips from videos, an integrated calendar for auto-content posting, and an AI video translator for multilingual accessibility. Klipify aims to streamline the content creation process and enhance digital presence through innovative features and automation.

Essay Grader AI is an AI-powered essay grading tool designed to help teachers streamline their grading process. It allows teachers to upload student submissions, apply customized rubrics, and receive instant, accurate grades and detailed feedback. The tool supports multiple languages and subjects, ensuring fair and consistent grading while saving teachers time and providing actionable insights to improve student writing proficiency.

InfLLM is a training-free memory-based method that unveils the intrinsic ability of LLMs to process streaming long sequences. It stores distant contexts into additional memory units and employs an efficient mechanism to lookup token-relevant units for attention computation. Thereby, InfLLM allows LLMs to efficiently process long sequences while maintaining the ability to capture long-distance dependencies. Without any training, InfLLM enables LLMs pre-trained on sequences of a few thousand tokens to achieve superior performance than competitive baselines continually training these LLMs on long sequences. Even when the sequence length is scaled to 1, 024K, InfLLM still effectively captures long-distance dependencies.

MoBA (Mixture of Block Attention) is an innovative approach for long-context language models, enabling efficient processing of long sequences by dividing the full context into blocks and introducing a parameter-less gating mechanism. It allows seamless transitions between full and sparse attention modes, enhancing efficiency without compromising performance. MoBA has been deployed to support long-context requests and demonstrates significant advancements in efficient attention computation for large language models.

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.

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.

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.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

This repository contains the code to prepare the data for the Amber 7B language model. The final training data comes from three sources: RedPajama V1, RefinedWeb, and StarCoderData. The data preparation involves downloading untokenized data, tokenizing the data using the Huggingface tokenizer, concatenating tokens into 2048 token sequences, merging datasets, and splitting the merged dataset into 360 chunks. Each tokenized data chunk is a jsonl file containing samples with 2049 tokens. The repository provides scripts for downloading datasets, tokenizing and concatenating sequences, validating data, and merging subsets into chunks.

The Together Cookbook is a collection of code and guides designed to help developers build with open source models using Together AI. The recipes provide examples on how to chain multiple LLM calls, create agents that route tasks to specialized models, run multiple LLMs in parallel, break down tasks into parallel subtasks, build agents that iteratively improve responses, perform LoRA fine-tuning and inference, fine-tune LLMs for repetition, improve summarization capabilities, fine-tune LLMs on multi-step conversations, implement retrieval-augmented generation, conduct multimodal search and conditional image generation, visualize vector embeddings, improve search results with rerankers, implement vector search with embedding models, extract structured text from images, summarize and evaluate outputs with LLMs, generate podcasts from PDF content, and get LLMs to generate knowledge graphs.

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. |  |

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

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