Best AI tools for< Decode Gpt Prompts >

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).

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.

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.

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.

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.

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.

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.

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.

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.

This application utilizes AI technology to simplify the complex process of understanding health insurance policies. Unlike other apps that focus on insurance search and comparison, this app specializes in deciphering the intricate language found in policies. It provides instant access to policy analysis with a one-time payment, empowering users to gain clarity and make informed decisions regarding their health insurance coverage.

The KAN-GPT repository is a PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling. It provides a model for generating text based on prompts, with a focus on improving performance compared to traditional MLP-GPT models. The repository includes scripts for training the model, downloading datasets, and evaluating model performance. Development tasks include integrating with other libraries, testing, and documentation.

This repository contains a minimal, clean code implementation of the Byte Pair Encoding (BPE) algorithm, commonly used in LLM tokenization. The BPE algorithm is "byte-level" because it runs on UTF-8 encoded strings. This algorithm was popularized for LLMs by the GPT-2 paper and the associated GPT-2 code release from OpenAI. Sennrich et al. 2015 is cited as the original reference for the use of BPE in NLP applications. Today, all modern LLMs (e.g. GPT, Llama, Mistral) use this algorithm to train their tokenizers. There are two Tokenizers in this repository, both of which can perform the 3 primary functions of a Tokenizer: 1) train the tokenizer vocabulary and merges on a given text, 2) encode from text to tokens, 3) decode from tokens to text. The files of the repo are as follows: 1. minbpe/base.py: Implements the `Tokenizer` class, which is the base class. It contains the `train`, `encode`, and `decode` stubs, save/load functionality, and there are also a few common utility functions. This class is not meant to be used directly, but rather to be inherited from. 2. minbpe/basic.py: Implements the `BasicTokenizer`, the simplest implementation of the BPE algorithm that runs directly on text. 3. minbpe/regex.py: Implements the `RegexTokenizer` that further splits the input text by a regex pattern, which is a preprocessing stage that splits up the input text by categories (think: letters, numbers, punctuation) before tokenization. This ensures that no merges will happen across category boundaries. This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. 4. minbpe/gpt4.py: Implements the `GPT4Tokenizer`. This class is a light wrapper around the `RegexTokenizer` (2, above) that exactly reproduces the tokenization of GPT-4 in the tiktoken library. The wrapping handles some details around recovering the exact merges in the tokenizer, and the handling of some unfortunate (and likely historical?) 1-byte token permutations. Finally, the script train.py trains the two major tokenizers on the input text tests/taylorswift.txt (this is the Wikipedia entry for her kek) and saves the vocab to disk for visualization. This script runs in about 25 seconds on my (M1) MacBook. All of the files above are very short and thoroughly commented, and also contain a usage example on the bottom of the file.

PromptAgent is a repository for a novel automatic prompt optimization method that crafts expert-level prompts using language models. It provides a principled framework for prompt optimization by unifying prompt sampling and rewarding using MCTS algorithm. The tool supports different models like openai, palm, and huggingface models. Users can run PromptAgent to optimize prompts for specific tasks by strategically sampling model errors, generating error feedbacks, simulating future rewards, and searching for high-reward paths leading to expert prompts.

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.

Xwin-LM is a powerful and stable open-source tool for aligning large language models, offering various alignment technologies like supervised fine-tuning, reward models, reject sampling, and reinforcement learning from human feedback. It has achieved top rankings in benchmarks like AlpacaEval and surpassed GPT-4. The tool is continuously updated with new models and features.

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.

PhoGPT is an open-source 4B-parameter generative model series for Vietnamese, including the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. PhoGPT-4B is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length and a vocabulary of 20K token types. PhoGPT-4B-Chat is fine-tuned on instructional prompts and conversations, demonstrating superior performance. Users can run the model with inference engines like vLLM and Text Generation Inference, and fine-tune it using llm-foundry. However, PhoGPT has limitations in reasoning, coding, and mathematics tasks, and may generate harmful or biased responses.

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

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.

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.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

CodeGeeX4-ALL-9B is an open-source multilingual code generation model based on GLM-4-9B, offering enhanced code generation capabilities. It supports functions like code completion, code interpreter, web search, function call, and repository-level code Q&A. The model has competitive performance on benchmarks like BigCodeBench and NaturalCodeBench, outperforming larger models in terms of speed and performance.

AI is an open-source Swift framework for interfacing with generative AI. It provides functionalities for text completions, image-to-text vision, function calling, DALLE-3 image generation, audio transcription and generation, and text embeddings. The framework supports multiple AI models from providers like OpenAI, Anthropic, Mistral, Groq, and ElevenLabs. Users can easily integrate AI capabilities into their Swift projects using AI framework.

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-Blender is a framework for ensembling large language models (LLMs) to achieve superior performance. It consists of two modules: PairRanker and GenFuser. PairRanker uses pairwise comparisons to distinguish between candidate outputs, while GenFuser merges the top-ranked candidates to create an improved output. LLM-Blender has been shown to significantly surpass the best LLMs and baseline ensembling methods across various metrics on the MixInstruct benchmark dataset.

MiniCPM is a series of open-source large models on the client side jointly developed by Face Intelligence and Tsinghua University Natural Language Processing Laboratory. The main language model MiniCPM-2B has only 2.4 billion (2.4B) non-word embedding parameters, with a total of 2.7B parameters. - After SFT, MiniCPM-2B performs similarly to Mistral-7B on public comprehensive evaluation sets (better in Chinese, mathematics, and code capabilities), and outperforms models such as Llama2-13B, MPT-30B, and Falcon-40B overall. - After DPO, MiniCPM-2B also surpasses many representative open-source large models such as Llama2-70B-Chat, Vicuna-33B, Mistral-7B-Instruct-v0.1, and Zephyr-7B-alpha on the current evaluation set MTBench, which is closest to the user experience. - Based on MiniCPM-2B, a multi-modal large model MiniCPM-V 2.0 on the client side is constructed, which achieves the best performance of models below 7B in multiple test benchmarks, and surpasses larger parameter scale models such as Qwen-VL-Chat 9.6B, CogVLM-Chat 17.4B, and Yi-VL 34B on the OpenCompass leaderboard. MiniCPM-V 2.0 also demonstrates leading OCR capabilities, approaching Gemini Pro in scene text recognition capabilities. - After Int4 quantization, MiniCPM can be deployed and inferred on mobile phones, with a streaming output speed slightly higher than human speech speed. MiniCPM-V also directly runs through the deployment of multi-modal large models on mobile phones. - A single 1080/2080 can efficiently fine-tune parameters, and a single 3090/4090 can fully fine-tune parameters. A single machine can continuously train MiniCPM, and the secondary development cost is relatively low.

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.

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.

LangServe helps developers deploy `LangChain` runnables and chains as a REST API. This library is integrated with FastAPI and uses pydantic for data validation. In addition, it provides a client that can be used to call into runnables deployed on a server. A JavaScript client is available in LangChain.js.

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! 🤔

Ti faccio 10 domande e ti aiuto a decidere chi votare alle Elezione Europee 2024. In maniera super razionale e in pochi secondi.

Specialist in interpreting and improving pet behavior

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

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

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.