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Phenaki is a model capable of generating realistic videos from a sequence of textual prompts. It is particularly challenging to generate videos from text due to the computational cost, limited quantities of high-quality text-video data, and variable length of videos. To address these issues, Phenaki introduces a new causal model for learning video representation, which compresses the video to a small representation of discrete tokens. This tokenizer uses causal attention in time, which allows it to work with variable-length videos. To generate video tokens from text, Phenaki uses a bidirectional masked transformer conditioned on pre-computed text tokens. The generated video tokens are subsequently de-tokenized to create the actual video. To address data issues, Phenaki demonstrates how joint training on a large corpus of image-text pairs as well as a smaller number of video-text examples can result in generalization beyond what is available in the video datasets. Compared to previous video generation methods, Phenaki can generate arbitrarily long videos conditioned on a sequence of prompts (i.e., time-variable text or a story) in an open domain. To the best of our knowledge, this is the first time a paper studies generating videos from time-variable prompts. In addition, the proposed video encoder-decoder outperforms all per-frame baselines currently used in the literature in terms of spatio-temporal quality and the number of tokens per video.

Decode Investing is a platform that helps users discover wonderful businesses and great investment ideas. It provides tools such as a stock market analyst, SEC filings, earnings calls, and a stock screener to assist users in making informed investment decisions. The platform also offers a community for users to engage with each other and share insights. Decode Investing is designed to empower individuals in their investment journey by providing valuable resources and analysis.

Mendel AI is an advanced clinical AI tool that deciphers clinical data with clinician-like logic. It offers a fully integrated suite of clinical-specific data processing products, combining OCR, de-identification, and clinical reasoning to interpret medical records. Users can ask questions in plain English and receive accurate answers from health records in seconds. Mendel's technology goes beyond traditional AI by understanding patient-level data and ensuring consistency and explainability of results in healthcare.

MeowTalk is an AI tool that allows users to decode their cat's meows and understand what their feline friends are trying to communicate. By analyzing the sound patterns of your cat's meows, MeowTalk translates them into human language, providing insights into your cat's thoughts and feelings. With MeowTalk, you can bridge the communication gap between you and your cat, leading to a deeper understanding and stronger bond.

Insitro is a drug discovery and development company that uses machine learning and data to identify and develop new medicines. The company's platform integrates in vitro cellular data produced in its labs with human clinical data to help redefine disease. Insitro's pipeline includes wholly-owned and partnered therapeutic programs in metabolism, oncology, and neuroscience.

AI Synapse is a GTM platform designed for AI workers to enhance outbound conversion rates and sales efficiency. It leverages AI-driven research, personalization, and automation to optimize sales processes, reduce time spent on sales tools, and achieve significant improvements in open, click, and reply rates. The platform enables users to achieve the output of a 30-person sales team in just 4-6 hours, leading to increased productivity and revenue generation. AI Synapse offers scalability, cost efficiency, advanced personalization, time savings, enhanced conversion rates, and predictable lead flow, making it a valuable tool for sales teams and businesses looking to streamline their outbound strategies.

CEBRA is a machine-learning method that compresses time series data to reveal hidden structures in the variability of the data. It excels in analyzing behavioral and neural data simultaneously, allowing for the decoding of activity from the visual cortex of the mouse brain to reconstruct viewed videos. CEBRA is a novel encoding method that leverages both behavioral and neural data to produce consistent and high-performance latent spaces, enabling the mapping of space, uncovering complex kinematic features, and providing rapid, high-accuracy decoding of natural movies from the visual cortex.

BabySleepBot™ is an AI-powered online DIY program designed to help parents teach their babies to sleep through the night and take longer day naps. The program offers personalized training tailored to different parenting styles and babies' individual needs. It includes audio clips, personalized training, companion guide, education on decoding baby's tired cues, custom routines, and access to results within three weeks. The program is led by Jennifer, Australia's leading baby sleep consultant with 22+ years of experience and a proven track record of helping thousands of families achieve successful sleep outcomes.

Vexa is a real-time AI meeting assistant designed to empower users to maintain focus, grasp context, decode industry-specific terms, and capture critical information effortlessly during business meetings. It offers features such as instant context recovery, flawless project execution, industry terminology decoding, enhanced focus and productivity, and ADHD-friendly meeting assistance. Vexa helps users stay sharp in long meetings, record agreements accurately, clarify industry jargon, and manage time-sensitive information effectively. It integrates with Google Meet and Zoom, supports various functionalities using the GPT-4 Chat API, and ensures privacy through end-to-end encryption and data protection measures.

Hint is a hyper-personalized astrology app that combines NASA data with guidance from professional astrologers to provide personalized insights. It offers 1-on-1 guidance, horoscopes, compatibility reports, and chart decoding. Hint has become a recognized leader in the field of digital astrological services and is trusted by world's leading companies.

Mind-Video is an AI tool that focuses on high-quality video reconstruction from brain activity data obtained through fMRI scans. The tool aims to bridge the gap between image and video brain decoding by leveraging masked brain modeling, multimodal contrastive learning, spatiotemporal attention, and co-training with an augmented Stable Diffusion model. It is designed to enhance the generation consistency and accuracy of reconstructing continuous visual experiences from brain activities, ultimately contributing to a deeper understanding of human cognitive processes.

Easy Islamic Dream Interpretation is an AI tool that offers dream interpretations based on Quranic verses, Hadith, and established Islamic principles. The tool draws insights from classical Islamic scholars like Ibn Sirin, Al-Nabulsi, and Ibn Kathir to provide accurate and meaningful interpretations of dreams. Users can gain a deeper understanding of their dreams through the lens of Islamic teachings and traditions.

Iris Dating is an AI dating application that leverages artificial intelligence to match and date online. The app uses AI to understand users' preferences and present them with matches based on mutual attraction. By decoding the science of attraction, Iris Dating aims to revolutionize online dating by providing users with more meaningful and successful relationships.

Typly is an advanced AI writing assistant that leverages Large Language Models like GPT, ChatGPT, LLaMA, and others to automatically generate suggestions that match the context of the conversation. It offers features such as generating AI response suggestions, crafting unique responses effortlessly, decoding complex text, summarizing articles, perfecting emails, and boosting conversations with sentence bundles from various sources. Typly aims to revolutionize the way people communicate by providing innovative solutions powered by artificial intelligence.

Dataku.ai is an advanced data extraction and analysis tool powered by AI technology. It offers seamless extraction of valuable insights from documents and texts, transforming unstructured data into structured, actionable information. The tool provides tailored data extraction solutions for various needs, such as resume extraction for streamlined recruitment processes, review insights for decoding customer sentiments, and leveraging customer data to personalize experiences. With features like market trend analysis and financial document analysis, Dataku.ai empowers users to make strategic decisions based on accurate data. The tool ensures precision, efficiency, and scalability in data processing, offering different pricing plans to cater to different user needs.

Shib GPT is an advanced AI-driven platform tailored for real-time crypto market analysis. It revolutionizes the realm of cryptocurrency by leveraging sophisticated algorithms to provide comprehensive insights into pricing, trends, and exchange dynamics. The platform empowers investors and traders with unparalleled accuracy and depth in navigating both decentralized and centralized exchanges, enabling informed decision-making with speed and precision. Shib GPT also offers a chat platform for dynamic interaction with financial markets, generating multimedia content powered by cutting-edge Large Language Models (LLMs).

DreamOracle is an AI-powered dream interpretation guide that helps users understand the meanings behind their dreams. By leveraging advanced algorithms and natural language processing, DreamOracle provides insightful interpretations to decode the symbolism in dreams. Users can explore the hidden messages and subconscious thoughts embedded in their dreams, gaining valuable insights into their inner selves. With DreamOracle, users can unlock the mysteries of their dreams and gain a deeper understanding of their emotions, fears, and desires.

THE DECODER is an AI tool that provides news, insights, and updates on artificial intelligence across various domains such as business, research, and society. It covers the latest advancements in AI technologies, applications, and their impact on different industries. THE DECODER aims to keep its audience informed about the rapidly evolving field of artificial intelligence.

Legalese Decoder is a web application that utilizes AI, natural language processing (NLP), and machine learning (ML) to analyze legal documents and provide a plain language version of the document. It is designed to take complex legal documents as input and output a simplified, easily understandable version by identifying key terms and concepts, providing definitions, and rephrasing the content. The application aims to assist individuals in comprehending legal documents without the need for professional legal advice.

Impact Stack is an AI-powered research platform that enables users to conduct evidence-based research with the help of specialized AI tools and expertise. It allows users to ask questions about companies, industries, or research topics in natural language, providing rigorously researched answers quickly. The platform eliminates the need for manual data entry by allowing users to interface with AI agents equipped with up-to-date knowledge bases. Impact Stack also offers the ability to search and analyze multiple databases simultaneously, streamlining the research process. Users can stay informed with the latest articles and feature updates through subscription.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

LLM-Microscope is a toolkit designed for quantifying and visualizing language model internals. It provides functions for calculating anisotropy, intrinsic dimension, and linearity score. The toolkit also includes a Logit Lens feature for analyzing model predictions and losses. Users can easily install the toolkit using pip and explore the functionalities through provided examples.

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.

SoM-LLaVA is a new data source and learning paradigm for Multimodal LLMs, empowering open-source Multimodal LLMs with Set-of-Mark prompting and improved visual reasoning ability. The repository provides a new dataset that is complementary to existing training sources, enhancing multimodal LLMs with Set-of-Mark prompting and improved general capacity. By adding 30k SoM data to the visual instruction tuning stage of LLaVA, the tool achieves 1% to 6% relative improvements on all benchmarks. Users can train SoM-LLaVA via command line and utilize the implementation to annotate COCO images with SoM. Additionally, the tool can be loaded in Huggingface for further usage.

RTL-Coder is a tool designed to outperform GPT-3.5 in RTL code generation by providing a fully open-source dataset and a lightweight solution. It targets Verilog code generation and offers an automated flow to generate a large labeled dataset with over 27,000 diverse Verilog design problems and answers. The tool addresses the data availability challenge in IC design-related tasks and can be used for various applications beyond LLMs. The tool includes four RTL code generation models available on the HuggingFace platform, each with specific features and performance characteristics. Additionally, RTL-Coder introduces a new LLM training scheme based on code quality feedback to further enhance model performance and reduce GPU memory consumption.

Eagle is a family of Vision-Centric High-Resolution Multimodal LLMs that enhance multimodal LLM perception using a mix of vision encoders and various input resolutions. The model features a channel-concatenation-based fusion for vision experts with different architectures and knowledge, supporting up to over 1K input resolution. It excels in resolution-sensitive tasks like optical character recognition and document understanding.

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 '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.

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 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**

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

This repository is a curated list of papers focused on the detection of Large Language Models (LLMs)-generated content. It includes the latest research papers covering detection methods, datasets, attacks, and more. The repository is regularly updated to include the most recent papers in the field.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

Automatically structure and decode academic papers with ease - simply upload a PDF!

Decodes AI papers: Summarizes, clarifies topics, and lists key ideas.

Specialist in interpreting and improving pet behavior

I decode acronyms from the oil & gas industry, asking for context if needed.

Decode GPT prompts

🌟 Discover the Charm of EmojiGPT! 🤖💬🎉 Dive into a world where emojis reign supreme with EmojiGPT, your whimsical AI companion that speaks the universal language of emojis. Get ready to decode delightful emoji messages, laugh at clever combinations, and express yourself like never before! 🤔

Unlock the secrets of DNA with 🧬GenoCode Wizard🔬! Dive into genetic analysis, decode sequences, and explore bioinformatics with ease. Perfect for researchers and students!

I parse questions and answers from images into code blocks.

i help u understand the lingo & the latest memes.

Decoding and educating about Morse code in various formats.

A specialist in explaining social cues and cultural norms for clarity in conversations

This app decodes texts from narcissists, advising across all life scenarios. Navigate. Analyze. Recognize. Communicate.

Simply tell me what the girl texted you or said to you, and I will respond with what she means. 💋

Convert between text and morse code

Friendly, conversational tone for medical acronyms.

Clear, technical URL encoder with explanations.

Translates messages into Egyptian Hieroglyphics on ancient stones.

Hermetic image interpreter with a sage-like personality

Email Addresses, Decoded

Translates English to modern texting language with emojis.