Best AI tools for< Give Details On Science Fiction Franchises >

imagetocaption.ai is an AI-powered tool designed to generate captions for images and videos across various platforms such as social media, Shopify, Instagram, TikTok, and more. It uses modern AI technology to create captions that resonate with the audience, allowing users to customize themes, tones, and additional information. With the option to add brand voice details, the tool ensures authentic and relevant social media texts. Users can upload their own photos and videos, set custom brand voices, and benefit from the ease of use and customization offered by the tool.

People.ai is an AI-powered platform that revolutionizes the way businesses approach revenue generation. It offers a holistic solution combining automated activity capture with account and opportunity management to create a unified Go-To-Market (GTM) motion. The platform leverages generative AI to automate manual tasks, inspect account and deal health, and provide prescriptive coaching recommendations. People.ai helps businesses modernize by providing complete, accurate, and enriched data complemented by AI-driven insights to enhance sales team efficiency and effectiveness.

User Persona is a free AI-powered tool that enables users to create detailed user personas for their products or services in seconds. It helps businesses understand their target audiences better by providing data-backed representations of user types, including demographic details, behavior patterns, motivations, and goals. By leveraging research and real user data, User Persona assists in designing and marketing products and services that cater to specific user groups, ultimately leading to improved user experiences, customer satisfaction, and engagement rates. The tool is designed to give businesses a competitive edge by delivering tailored offerings that meet the unique needs of their target customers.

Opnbx is a bespoke revenue operating platform that helps sales teams understand their target market and prioritize their sales and marketing efforts. It uses AI to learn from a company's revenue team and scour billions of data points to give a real-time view of the market. Opnbx also provides insights into which companies are in buying mode right now and which prospects are visiting a company's website in real-time. It provides persona and contact details, including mobile numbers and email addresses, and has an AI email writing platform that provides the right research to create personalized and relevant messages in seconds.

Fabularis is an AI-powered platform that creates personalized children's books tailored to each child's unique characteristics. By inputting basic details, the system crafts a narrative that resonates personally with the child, sparking joy, wonder, and belief in their potential. The platform offers a range of AI-crafted children's book examples, allowing users to choose the values they wish to emphasize and edit the stories to give them a personal touch. Users can enjoy their unique storybook in PDF format or opt to purchase a physical version. Fabularis stands out for its total personalization, premium illustrations, and educational value, making reading a captivating and personal journey for young readers.

Roboflow is a platform that provides tools for building and deploying computer vision models. It offers a range of features, including data annotation, model training, and deployment. Roboflow is used by over 250,000 engineers to create datasets, train models, and deploy to production.

Fibr AI is a personalized landing page platform that uses AI to deliver ultra-personalized experiences for every ad, email, or audience. With Fibr, businesses can create relevant landing pages for every ad and deliver personalized experiences dynamically, without any coding or hassle. Fibr's key features include a WYSIWYG editor, dynamic web personalization, ad connect, bulk creation, audience building, AI personalizations at scale, A/B testing, reporting and analytics, and integrations with popular marketing platforms. Fibr's benefits include increased conversions, reduced customer acquisition costs, and improved ROI. Fibr is suitable for businesses of all sizes and industries, and is particularly beneficial for businesses with high customer acquisition costs or low conversion rates.

Cool Gift Ideas is an AI-powered gift suggestion tool that helps users find the perfect gift for anyone based on their personality and interests. The tool uses a variety of data points, including the recipient's age, gender, hobbies, and interests, to generate a list of personalized gift ideas. Cool Gift Ideas is free to use and can be accessed online at CoolGiftIdeas.io.

Voicera is a text-to-speech tool that allows users to convert written content into natural-sounding speech. With Voicera, users can create audio versions of their articles, blog posts, and other written content, making it more accessible to a wider audience. Voicera offers a variety of features to help users create high-quality audio content, including a library of natural-sounding voices, advanced audio editing tools, and the ability to add music and sound effects.

Deskflow is an employee experience platform powered by AI. It is designed to help companies improve employee productivity and reduce churn. Deskflow's AI is trained on a company's internal knowledge base and integrates with HRIS and ITSM systems to handle repetitive help desk tasks 10X faster. This frees up HR and IT teams to focus on more critical tasks, leading to cost savings. Deskflow also provides employees with a co-pilot that can answer questions, create tickets, and take other actions. This helps employees access the information they need quickly and easily, reducing the time it takes to resolve issues.

Enlighten AI is an AI grading tool designed to assist teachers in providing personalized feedback to students efficiently. The tool optimizes the grading process by leveraging AI technology while preserving the human touch in feedback delivery. It offers features such as optimized grading in three steps, personalized feedback suggestions, and data-driven insights to enhance student outcomes. Enlighten AI aims to save educators time, improve feedback quality, and maximize teaching impact.

Cardamore.ai is an AI-powered platform that allows users to create personalized greeting cards for any occasion. With Cardamore.ai, users can instantly generate unique cards with art and messages that are tailored to the recipient's passions and interests. The platform offers a wide range of templates to choose from, and users can also create their own custom designs. Cardamore.ai makes it easy to create thoughtful and meaningful cards that will be cherished by recipients.

Bird Analytics is an AI-powered data analytics platform that offers a comprehensive suite of tools for businesses to manage and analyze their data effectively. With features like AI and Machine Learning, Visual Analysis, Anomaly Monitoring, and more, Bird Analytics provides users with actionable insights and intelligent data-driven solutions. The platform enables users to harness their business data, make better decisions, and predict future trends using advanced analytics capabilities.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Inworld is an AI framework designed for games and media, offering a production-ready framework for building AI agents with client-side logic and local model inference. It provides tools optimized for real-time data ingestion, low latency, and massive scale, enabling developers to create engaging and immersive experiences for users. Inworld allows for building custom AI agent pipelines, refining agent behavior and performance, and seamlessly transitioning from prototyping to production. With support for C++, Python, and game engines, Inworld aims to future-proof AI development by integrating 3rd-party components and foundational models to avoid vendor lock-in.

SkedPal is an intelligent time management tool that combines the functionalities of a calendar app and a task management tool. It uses advanced algorithms and artificial intelligence to help users efficiently schedule their tasks, prioritize work, and adapt to changing priorities. SkedPal aims to optimize users' daily and weekly agendas by automating the scheduling process, allowing users to focus on important tasks and projects. The application is designed to cater to individuals who value structure in their day, seek productivity enhancement, and want to manage their time effectively.

Spinify is an AI-powered sales gamification platform that combines gamification and personalized coaching to engage, motivate, and boost the performance of teams. It harnesses the power of AI-driven coaching and gamification to unlock the full potential of each individual, driving growth, collaboration, and success. Spinify offers dynamic competitions, personalized coaching, real-time leaderboards, and customizable rewards to create a culture of recognition and continuous improvement.

Octomind is an AI-powered Playwright end-to-end testing tool for web applications. It automatically discovers, generates, and runs tests to find bugs before customers do. With features like auto-generating tests, running tests to find bugs, and maintaining tests automatically, Octomind aims to simplify the testing process for developers. It offers real-world wins with testimonials from industry professionals and ensures stability, speed, and a better developer experience. Octomind is built on top of Playwright and can be seamlessly integrated into CI/CD pipelines for continuous testing and monitoring.

Genesys is a cloud-based contact center software that provides businesses with a variety of tools to improve customer experience. These tools include web messaging, live chat, chatbots, and AI-powered analytics. Genesys also offers a variety of integrations with other business applications, such as CRM and ERP systems.

Life Story AI is an application that utilizes artificial intelligence to assist users in writing their life stories or the life stories of their parents. The app guides users through a series of questions, transcribes their responses, and compiles them into a personalized book of up to 250 pages. Users can customize the cover, edit content, and add photos to create a unique family memoir. With features like voice-to-text transcription, grammar correction, and style formatting, Life Story AI simplifies the process of preserving cherished memories in a beautifully crafted book.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

TinyTroupe is an experimental Python library that leverages Large Language Models (LLMs) to simulate artificial agents called TinyPersons with specific personalities, interests, and goals in simulated environments. The focus is on understanding human behavior through convincing interactions and customizable personas for various applications like advertisement evaluation, software testing, data generation, project management, and brainstorming. The tool aims to enhance human imagination and provide insights for better decision-making in business and productivity scenarios.

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.

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.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

Hopsworks is a data platform for ML with a Python-centric Feature Store and MLOps capabilities. It provides collaboration for ML teams, offering a secure, governed platform for developing, managing, and sharing ML assets. Hopsworks supports project-based multi-tenancy, team collaboration, development tools for Data Science, and is available on any platform including managed cloud services and on-premise installations. The platform enables end-to-end responsibility from raw data to managed features and models, supports versioning, lineage, and provenance, and facilitates the complete MLOps life cycle.

A curated list of Generative AI projects, tools, artworks, and models

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

ChainForge is a visual programming environment for battle-testing prompts to LLMs. It is geared towards early-stage, quick-and-dirty exploration of prompts, chat responses, and response quality that goes beyond ad-hoc chatting with individual LLMs. With ChainForge, you can: * Query multiple LLMs at once to test prompt ideas and variations quickly and effectively. * Compare response quality across prompt permutations, across models, and across model settings to choose the best prompt and model for your use case. * Setup evaluation metrics (scoring function) and immediately visualize results across prompts, prompt parameters, models, and model settings. * Hold multiple conversations at once across template parameters and chat models. Template not just prompts, but follow-up chat messages, and inspect and evaluate outputs at each turn of a chat conversation. ChainForge comes with a number of example evaluation flows to give you a sense of what's possible, including 188 example flows generated from benchmarks in OpenAI evals. This is an open beta of Chainforge. We support model providers OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and Dalai-hosted models Alpaca and Llama. You can change the exact model and individual model settings. Visualization nodes support numeric and boolean evaluation metrics. ChainForge is built on ReactFlow and Flask.

The 'awesome-deliberative-prompting' repository focuses on how to ask Large Language Models (LLMs) to produce reliable reasoning and make reason-responsive decisions through deliberative prompting. It includes success stories, prompting patterns and strategies, multi-agent deliberation, reflection and meta-cognition, text generation techniques, self-correction methods, reasoning analytics, limitations, failures, puzzles, datasets, tools, and other resources related to deliberative prompting. The repository provides a comprehensive overview of research, techniques, and tools for enhancing reasoning capabilities of LLMs.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem, including: * Benchmarks of equation solver implementations * Speed and robustness comparisons of methods for parameter estimation / inverse problems * Training universal differential equations (and subsets like neural ODEs) * Training of physics-informed neural networks (PINNs) * Surrogate comparisons, including radial basis functions, neural operators (DeepONets, Fourier Neural Operators), and more The SciML Bench suite is made to be a comprehensive open source benchmark from the ground up, covering the methods of computational science and scientific computing all the way to AI for science.

LlamaV-o1 is a Large Multimodal Model designed for spontaneous reasoning tasks. It outperforms various existing models on multimodal reasoning benchmarks. The project includes a Step-by-Step Visual Reasoning Benchmark, a novel evaluation metric, and a combined Multi-Step Curriculum Learning and Beam Search Approach. The model achieves superior performance in complex multi-step visual reasoning tasks in terms of accuracy and efficiency.

The `sec-parser` project simplifies extracting meaningful information from SEC EDGAR HTML documents by organizing them into semantic elements and a tree structure. It helps in parsing SEC filings for financial and regulatory analysis, analytics and data science, AI and machine learning, causal AI, and large language models. The tool is especially beneficial for AI, ML, and LLM applications by streamlining data pre-processing and feature extraction.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

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.

Science Fiction aficionado guiding through movies, series, books, mangas, and games.

Give me campaign type, purpose, audience, website and product details. I will make ad copies

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Choose a topic. Choose a quote out of the many I create for you. Wait for the Magic to Happen!! Kaboozi, got yourself some funny azz memes!

Give me the name of a student and what you want to say and I'll help you write your reports. Upload your comments and I will proof read them.

Give me a link to something you read and I'll ask you good questions to help recall and retain content.

Give me an audio transcript and I'll give you summarization, insights and actionable plan.

Give me any GPT ideas - I make you a logo for it.

Give it two brands, and see what products it comes up with

Give me your syptoms and I will provide instructions for how to manage your illness.

Give me your musician and I'll give you AI songs of them.

Time to give your GPTs a personality!

Give me a topic and the audience, and I'll search and find good anecdotes to start the topic.

Give me an image, and I'll tell you about your future . 📸🧐 It's a game. Let's try. :) If I can hallucinate, why not hallucinate your future. :P

Give me your weather and I will tell you what products to use today!

Give me a lesson and I can give you feedback based on Rosenshine's "Principles of Instruction"

Give me the time + day of week and upload your parking sign photo for a simple explanation.

Give me a picture of what you intend to buy and say: Go.

Give me an Ethereum transaction hash, I'll give you the value in ETH.

Give me a maze and I'll try to provide a solution. 🔍