Alternatives to Verta

ChainForge is a visual programming environment that is open-source and designed for large language model evaluation. It allows users to evaluate the robustness and accuracy of text-generation models and prompts beyond anecdotal data. Test prompt ideas and variations simultaneously across multiple LLMs in order to identify the most efficient combinations. Evaluate response quality for different prompts, models and settings to determine the optimal configuration. Set up evaluation metrics, and visualize results for prompts, parameters and models. This will facilitate data-driven decisions. Manage multiple conversations at once, template follow-ups, and inspect the outputs to refine interactions. ChainForge supports a variety of model providers including OpenAI HuggingFace Anthropic Google PaLM2, Azure OpenAI Endpoints and locally hosted models such as Alpaca and Llama. Users can modify model settings and use visualization nodes.

Automatic output evaluation and testing will turbocharge your team's prompt development by ensuring high quality LLM outputs. With the ability to save and organize prompt configurations, you can easily design and organize your prompts. Automated tests will give you comprehensive results in just seconds. This will save you time and increase your efficiency. Structure your prompt configurations precisely, and then deploy them instantly to your own software applications. Design, test and deploy prompts as quickly as you can think. Your team can help you bridge the gap between technical execution of prompts and their real-world relevance. PromptPoint is a natively no-code platform that allows anyone in your team to create and test prompt configurations. Connecting seamlessly with hundreds of large languages models allows you to maintain flexibility in a world of many models.

Meet Ape, our first AI prompt engineer. Equipped with tracing and dataset curation. Batch testing, evals, and evalus. Ape achieved an impressive 93% in the GSM8K benchmark. This is higher than DSPy (86%), and base LLMs (70%) Continuously optimize prompts by using real-world data. Integrating CI/CD can prevent performance regression. Human-in-the loop with feedback and scoring. Ape uses the Weavel SDK in order to automatically log your dataset and add LLM generation as you use it. This allows for seamless integration and continuous improvements specific to your use cases. Ape automatically generates evaluation code and relies on LLMs to be impartial judges for complex tasks. This streamlines your assessment process while ensuring accurate and nuanced performance metrics. Ape is reliable because it works under your guidance and feedback. Ape will improve if you send in scores and tips. Equipped with logging and testing for LLM applications.

All large language models require high-quality training data, whether you create the data yourself or use existing models. A human-in the-loop labeling system provides real-time feedback to fine-tune datasets and build the most performant AI models. We offer precise data labeling and faster human input in order to improve the robustness of LLMs to better adapt to enterprise applications. Our labeler management allows for us to segment teams. You only pay for the experience and skill sets required by your data labelling projects. Sapien is able to scale up or down labeling operations for large and small annotation projects. Human intelligence at scale. We can customize our labeling models to meet your specific data formats, data types, and annotation requirements.

Prompt Refine helps you run better prompt experiments. Even small changes to a prompt may produce very different results. Prompt Refine allows you to run and iterate prompts. Each time you run a command, it is added to your history. You can see the differences between previous runs and all of their details. Organize them into groups and share with colleagues and friends. Export your prompt runs to a CSV file for further analysis when you're finished testing. Prompt Refine allows you to create generative prompts which guide users to formulate concise and specific prompts. This allows for more meaningful interactions between AI models. Prompt refine will enhance your prompt interactions, allowing you to unlock the full potential of AI.

With suggested edits, prompts rewritten, and automatically generated tests, you can eliminate the guesswork from prompt engineering. We run dozens analyses on your prompts and data in order to identify limitations and implement fixes. Detect issues with prompts and possible improvements. Rewrite prompts automatically with AI-generated fixes. Save time by not writing test cases. We create high-quality examples for you to test and guide your prompts. Identify ways to improve your prompts. Automate the rewriting of your prompts by AI to fix limitations. Create diverse test cases to validate and guide updates. Use your optimized prompts for models and tools.

Build, evaluate and improve AI agents to deliver reliable outcomes. Blend automation speed with human-quality. No coding required to build your AI agents. Just simple prompts and logic. You can also use our API, if that's what you prefer. Track, manage and evaluate your agents in real-time with easy access metrics and trends. Your evaluation will help you improve your models. Direct your agents to desired outcomes. Set up your main and supporting agents using simple logic and prompts. To maintain high standards, define when agents need human review. Feedback and performance refinement are key to improving performance. Try different approaches to get the best results. Use a dashboard to gain instant insight into performance. Discover flexible solutions to seamlessly manage AI and human oversight. Our system constantly refines agents using human feedback to maintain high quality.

Maxim is a enterprise-grade stack that enables AI teams to build applications with speed, reliability, and quality. Bring the best practices from traditional software development to your non-deterministic AI work flows. Playground for your rapid engineering needs. Iterate quickly and systematically with your team. Organise and version prompts away from the codebase. Test, iterate and deploy prompts with no code changes. Connect to your data, RAG Pipelines, and prompt tools. Chain prompts, other components and workflows together to create and test workflows. Unified framework for machine- and human-evaluation. Quantify improvements and regressions to deploy with confidence. Visualize the evaluation of large test suites and multiple versions. Simplify and scale human assessment pipelines. Integrate seamlessly into your CI/CD workflows. Monitor AI system usage in real-time and optimize it with speed.

PromptHub allows you to test, collaborate, version and deploy prompts from a single location. Use variables to simplify prompt creation and stop copying and pasting. Say goodbye to spreadsheets and compare outputs easily when tweaking prompts. Batch testing allows you to test your datasets, and prompts, at scale. Test different models, parameters, and variables to ensure consistency. Test different models, system messaging, or chat templates. Commit prompts, branch out, and collaborate seamlessly. We detect prompts changes so you can concentrate on outputs. Review changes in a team setting, approve new versions and keep everyone on track. Monitor requests, costs and latencies easily. PromptHub allows you to easily test, collaborate, and version prompts. With our GitHub-style collaboration and versioning, it's easy to iterate and store your prompts in one place.

Capture production data. Evaluate outputs together and fine-tune the performance of your LLM. A detailed log overview will help you understand what is happening in production. Work with domain experts, product managers and engineers to create reliable model outputs. Track AI metrics, such as speed, token usage, and quality scores. Copilot automates model evaluations and improvements for your use cases. Create, manage, or optimize prompts for precise and relevant interactions between AI models and users. Compare fine-tuned models and foundation models to improve prompt performance. Build a fine-tuning dataset with your team. Create custom fine-tuning data to optimize model performance.

Imagen is Google Research's text-to-image model. It uses advanced deep-learning techniques, primarily large Transformer-based architectural models, to generate photorealistic images using natural language descriptions. Imagen's core innovations are based on combining large language models, like those used in Google NLP research, with the generative abilities of diffusion models - a class of generative model known for creating detailed images by gradually refining noise. Imagen is a unique system that produces highly detailed images and textures, often from complex text prompts. It builds on the advances in image generation made with models like DALLE, but it focuses heavily on fine detail and semantic understanding.

Monitor your LLMs during production and discover and correct hallucinations and errors related to accuracy and quality with LLM outputs. Check your outputs to see if they contain hallucinations, misinformation or other issues. Configurable for any LLM application. Segment data to analyze in depth your cost, accuracy and response times. To debug generation, you can search, sort and filter your inference calls and trace your queries, retrievals and responses. Explore your conversations to learn what your users feel and what they are saying. You can also find out which conversations were unsuccessful. Compare your performance metrics between different models and prompts. Our insights will guide you to the best model for each use case. Our evaluators analyze and improve the outputs by using your data, configurations and feedback.

DeepEval is an open-source, easy-to-use framework for evaluating large-language-model systems. It is similar Pytest, but is specialized for unit-testing LLM outputs. DeepEval incorporates research to evaluate LLM results based on metrics like G-Eval (hallucination), answer relevancy, RAGAS etc. This uses LLMs as well as various other NLP models which run locally on your computer for evaluation. DeepEval can handle any implementation, whether it's RAG, fine-tuning or LangChain or LlamaIndex. It allows you to easily determine the best hyperparameters for your RAG pipeline. You can also prevent drifting and even migrate from OpenAI to your own Llama2 without any worries. The framework integrates seamlessly with popular frameworks and supports synthetic dataset generation using advanced evolution techniques. It also allows for efficient benchmarking and optimizing of LLM systems.

You can create, refine, test and share prompts using this powerful editor. All the features you need to create sophisticated prompts. ZenPrompts beta is available for free. Bring your OpenAI API key to get started. ZenPrompts allows you to create a portfolio of prompts which will show what you are capable in the age of LLMs, AI and other technologies. For sophisticated prompt design and engineering, you need to compare the output of multiple OpenAI models. ZenPrompts allows you to compare model output side by side, giving you the ability to choose the model that best suits your needs, whether they are quality, cost or performance. ZenPrompts is a minimalist, elegant platform for displaying your prompt portfolio. ZenPrompts' clean layouts and user-friendly interface ensure that your creativity is at the forefront. Present your prompts in a beautiful way to capture your audience and increase their impact.

LangWatch is a vital part of AI maintenance. It protects you and your company from exposing sensitive information, prevents prompt injection, and keeps your AI on track, preventing unforeseen damage to the brand. Businesses with integrated AI can find it difficult to understand the behaviour of AI and users. Maintaining quality by monitoring will ensure accurate and appropriate responses. LangWatch's safety check and guardrails help prevent common AI problems, such as jailbreaking, exposing sensitive information, and off-topic discussions. Real-time metrics allow you to track conversion rates, output, user feedback, and knowledge base gaps. Gain constant insights for continuous improvements. Data evaluation tools allow you to test new models and prompts and run simulations.

AI Prompt Management Teams. Streamline your workflow using our secure prompt management tool. This will ensure that no perfect prompt is ever lost again. A central prompt repository Manage your prompts effortlessly. You can organize your AI by titling, tagging, and summarizing them in one central repository. Test and discover new prompts PromptPanda allows you to easily test and compare new prompts. Analyze your results and improve your AI outcomes quickly. Create consistency Be sure to use the same prompts consistently over time.

Addlly AI is a fully customizable generative AI platform designed to empower businesses in creating hyperlocalized, on-brand marketing content by utilizing social listening insights and their proprietary data. The AI Playground combines various large language models (LLMs) with advanced generative AI methods to simplify and accelerate content creation, enhancing efficiency and productivity for enterprise users. From brainstorming ideas and establishing content pillars to selecting and fine-tuning the most suitable LLM, Addlly’s AI tools guide clients through the entire content creation process. The platform also boosts output with features for SEO optimization, image generation, and hashtag recommendations, enabling businesses to produce high-quality content in diverse formats, including blogs, social media posts, newsletters, and more.

AI engineering does not have to be a mystery. You can get full visibility using tools for tracing and evaluation, prompt management and more. HoneyHive is a platform for AI observability, evaluation and team collaboration that helps teams build reliable generative AI applications. It provides tools for evaluating and testing AI models and monitoring them, allowing engineers, product managers and domain experts to work together effectively. Measure the quality of large test suites in order to identify improvements and regressions at each iteration. Track usage, feedback and quality at a large scale to identify issues and drive continuous improvements. HoneyHive offers flexibility and scalability for diverse organizational needs. It supports integration with different model providers and frameworks. It is ideal for teams who want to ensure the performance and quality of their AI agents. It provides a unified platform that allows for evaluation, monitoring and prompt management.

Scale Evaluation is a comprehensive evaluation tool for large language models. This platform addresses the current challenges in AI models assessment, including the scarcity and lack of high-quality evaluation datasets. Scale provides proprietary evaluation sets that cover a wide range of domains and capabilities. This ensures accurate model assessment without overfitting. The platform has a user-friendly interface that allows for the analysis and reporting of model performance. This allows for apples-to-apples comparisons. Scale's expert network of human raters also delivers reliable evaluations. This is supported by transparent metrics, and quality assurance mechanisms. The platform offers customized evaluations that focus on specific model concerns. This allows for precise improvements by using new training data.

Data science platform that increases productivity and has unparalleled capabilities. Create and evaluate machine learning (ML), models of higher quality. Easy deployment of ML models can help increase business flexibility and enable enterprise-trusted data work faster. Cloud-based platforms can be used to uncover new business insights. Iterative processes are necessary to build a machine-learning model. This ebook will explain how machine learning models are constructed and break down the process. Use notebooks to build and test machine learning algorithms. AutoML will show you the results of data science. It is easier and faster to create high-quality models. Automated machine-learning capabilities quickly analyze the data and recommend the best data features and algorithms. Automated machine learning also tunes the model and explains its results.

Work on prompts together with your team. Share templates and data, and manage all API fees on a single platform. Write complex prompts easily, iterate and compare the output quality. Quartzite's superior Markdown Editor allows you to compose complex prompts, save a draft and submit the completed document. Test different models and variations to improve your prompts. Switch to GPT pricing that is based on pay-per-use and keep track of all your spending within the app. Stop writing the same prompts repeatedly. Create your own library of templates or use the default. We are constantly integrating the best models. You can toggle them on and off according to your needs. Fill templates with variables, or import CSV files to create multiple versions. Download your prompts, completions and other data in different file formats to use later. Quartzite AI communicates with OpenAI directly, and your data will be stored locally on your browser to ensure your privacy.

Iterate quickly, and ship confidently. Ship confidently by evaluating prompts using a suite evals such as context recall, llm rubric (LLM is a judge), latencies, and more. We can handle complex implementations and intelligent caching to save you money and time. Iterate quickly on your prompts using a collaborative playground. This includes all major providers, variables, versioning and more. You can easily build datasets using real data by using Logs. You can also upload your own CSV or collaborate to build and edit them within your Adaline workspace. Our APIs allow you to track usage, latency and other metrics in order to monitor the performance of your LLMs. Our APIs allow you to continuously evaluate your completions on production, see the way your users use your prompts, create datasets, and send logs. The platform allows you to iterate and monitor LLMs. You can easily rollback if you see a decline in your production and see how the team iterated on the prompt.

The 2D throughflow simulation is an important step in the design of rotating machinery. Vista TF can provide quick answers, give you a better understanding of your design, or uncover unexpected problems. To reduce engineering time and increase engineering resources, you can perform initial design iterations in 2D. Ansys VistaTF gives you greater insight into your rotating machinery design. This software allows you to create detailed 2D flow simulations and refine product performance during early design stages. High-performance turbochargers are essential components for engine performance. Engineers at PCA sought a way to maximize turbocharger performance and find the most efficient solution to their problems. Ansys Vista TF quickly proved itself to be the best solution, providing fast, high-quality solutions in a streamlined environment.

Automated voice testing, monitoring and more. Test your AI voice agent with 1000s of simulated users within minutes. It's hard to get AI voice agents right. LLM outputs can be affected by a small change in the prompts, function calls or model providers. We are the only platform that can support you from development through to production. Hamming allows you to store, manage, update and sync your prompts with voice infra provider. This is 1000x faster than testing voice agents manually. Use our prompt playground for testing LLM outputs against a dataset of inputs. Our LLM judges quality of generated outputs. Save 80% on manual prompt engineering. Monitor your app in more than one way. We actively track, score and flag cases where you need to pay attention. Convert calls and traces to test cases, and add them to the golden dataset.

Use tools to bring LLM-powered features into production, including tools for rapid engineering, semantic searching, version control, quantitative testing, and performance monitoring. Compatible with all major LLM providers. Develop an MVP quickly by experimenting with various prompts, parameters and even LLM providers. Vellum is a low-latency and highly reliable proxy for LLM providers. This allows you to make version controlled changes to your prompts without needing to change any code. Vellum collects inputs, outputs and user feedback. These data are used to build valuable testing datasets which can be used to verify future changes before going live. Include dynamically company-specific context to your prompts, without managing your own semantic searching infrastructure.

The xAI PromptIDE integrates development for prompt engineering, interpretability research and other related tasks. It accelerates prompting engineering through an SDK which allows complex prompting techniques to be implemented and rich analytics to visualize the network's results. We use it heavily for our Grok continuous development. We developed PromptIDE in order to provide engineers and researchers with transparent access to Grok-1 - the model that powers Grok - to the community. The IDE was designed to empower users, and allow them to explore the capabilities of large language models at their own pace. The IDE's core is a Python editor that, when combined with a new SDK, allows for complex prompting techniques. Users can see useful analytics while executing prompts within the IDE. These include the precise tokenization of the prompt, sampling probabilities and alternative tokens. The IDE offers a number of features that enhance the quality of life. It automatically saves prompts.

AI can help you create seamless patterns. AI prompts you with 50-400 high-quality seamless patterns. Fast results in seconds

With image conditioning techniques and prompt-based editing, we offer users new ways to control 3D synthesizing, opening new avenues for creative applications. Magic3D is able to create high-quality 3D mesh models using text input. It uses a coarse-to fine strategy that leverages both low-resolution and high-resolution priors to learn the 3D representation for the target content. Magic3D is 2x faster than DreamFusion and 8x more accurate in generating 3D content. We can edit the text of a coarse model created with a base text and then fine-tune NeRF and 3D models to get a high-resolution edited 3D mesh.

Narrow AI: Remove the Engineer from Prompt Engineering Narrow AI automatically writes, monitors and optimizes prompts on any model. This allows you to ship AI features at a fractional cost. Maximize quality and minimize costs Reduce AI costs by 95% using cheaper models Automated Prompt Optimizer: Improve accuracy - Achieve faster response times with lower latency models Test new models within minutes, not weeks - Compare the performance of LLMs quickly - Benchmarks on cost and latency for each model - Deploy the optimal model for your usage case Ship LLM features up to 10x faster - Automatically generate expert level prompts - Adapt prompts as new models are released - Optimize prompts in terms of quality, cost and time

Your games will benefit from high-quality, consistent styled assets. Create your own AI models that are custom-trained using your data. With more efficient prompting, quickly test new game ideas and concepts. Create high-quality, unique content that is consistent with your art direction. Upload your own training data: characters and props, vehicles, weapons skins, buildings, concept art pixel art sketches, and more. In just a few clicks, you can create your own generative AI engines. No technical skills required. 100% online. In just a few lines, you can bring your ideas to life. It's easier than ever to create assets.

Test, launch and refine Gen AI prompting. RAG Agents. Datasets. Workflows. A single workspace for Engineers and Product Managers to explore LLM technology.

A managed PaaS that includes a low-code visual editor, VectorDB and integrations with apps and models to build, test, and deploy high-performance AI applications on the edge. Eliminate costly and error-prone work. Drag and drop agents, apps, data and models to find the best solution. Deployment in less than 60 seconds, and a 50% reduction in latency. Observe, iterate, and test seamlessly. Visibility and tools are essential for accuracy and reliability. Use data-driven decision making with reports on usage, LLM and request. View real-time traces per node. Experiments allow you to optimize embeddings and prompts, models and more. All you need to launch and iterate at large scale. Community of smart-minded builders who share their insights, experiences & feedback. Distilling the most useful tips, tricks and techniques for AI application developers. A platform that allows you to build agentic systems as if you were a 100-person team. A simple and intuitive frontend for managing AI applications and collaborating with them.

The ChatGPT prompt generator is a powerful and user-friendly tool that allows users to create customized prompts which elicit engaging and informative responses from OpenAI’s ChatGPT model. Users can create prompts that are tailored to their needs by selecting a specific focus, subject and context. This ensures that the AI model will address the desired topic in an appropriate and meaningful manner. This guide will take you through the features and functions of the ChatGPT prompt generator, so that you can harness its full potential to generate high-quality responses for your AI conversations. Open the ChatGPT Web page in your web browser to get started. You'll see a simple and intuitive interface with dropdown menus to select the action and focus. There are also input fields for the subject and context. A button will generate the prompt. Select the action that best represents what you want ChatGPT to do.

DSPy is a framework for language models that are programmed rather than prompted. It allows you iterate quickly on building modular AI system and offers algorithms for optimising their prompts and weighs, whether you are building simple classifiers or sophisticated RAG pipelines or Agent loops.

Shakker allows you to turn your imagination into a picture in just seconds. Shakker makes AI image generation easy. Shakker's prompt suggestions and precise designs make it easier than ever to create images, change style, combine components, paint any parts or combine components. Shakker is a revolutionary tool for image creation. You can upload a reference image and it will recommend styles from a vast library of images. It makes it easy to create the perfect image. Shakker also offers advanced editing features like segmentation, quick-selection, and lasso to precisely inpaint. Shakker.AI is based on AI algorithms that analyze input to generate images. It interprets the user's commands or prompts and produces images that are in line with specified styles and topics. The underlying technology seamlessly combines AI's computational strength with artistic creativity to deliver both unique and high quality outputs.

Kombai is an innovative ensemble model capable of interpreting and coding UI designs in a human-like manner. By feeding it design files from Figma, it can generate top-notch React and HTML + CSS (vanilla/tailwind) code with just a single click for each component. The unique ensemble model of Kombai can analyze intricate, real-world designs, make inferences similar to a developer, and produce code based on this "comprehension".

Tessl’s AI native platform produces code that is high-quality and maintainable, built to your specifications. Tessl’s spec-driven approach, which is based on rigorous, deterministic compliance tests, allows you to define the requirements while AI generates code. Tessl is a platform that offers a new way to build software. One that was built with AI in the forefront. Tessl software is composed of small, modular components that combine to create complex systems. Tessl was designed to work with LLMs of today while anticipating AI innovations of tomorrow. Tessl has quality control built-in, via spec compliance tests and platform wide code quality evaluations. Push the limits of generative AI with an environment that lets you experiment and tinker. Experiment with models, workflows, prompts and more. Tessl makes it easier to collaborate based on specifications, and our high quality, auto-generated documentation simplifies code consumption.

Automatically break down prompts into tokens that can be reused. Tokens can be categorized and saved. Create and reuse templates to generate high-quality prompts. Not just one AI platform, but all of them. Create perfect prompts using our intuitive interface and AI powered suggestions. Dive deep into your prompts. Learn how to improve your prompts by understanding the key elements. Keep track of all your media prompts and variations. Automatic metadata detection, and adding notes for everything to stay with your spark. We also support video formats so you can experiment with sound and motion in your creations. We take your privacy very seriously. By default, your uploads are private until you decide to share them. Connect with other AI enthusiasts, share and get inspired by your creations. Our vibrant community offers a great place to learn, grow and collaborate.

Cloud AutoML is a set of machine learning products that allows developers with limited machine-learning expertise to create high-quality models tailored to their business needs. It uses Google's state of the art neural architecture and transfer learning search technology. Cloud AutoML uses more than 10 years' of Google Research technology to help machine learning models achieve faster performance, better predictions, and more accurate predictions. Cloud AutoML's graphical user interface makes it easy to build, evaluate, improve, deploy, and test models based upon your data. Only a few clicks away is your custom machine learning model. Google's human-labeling service can assign a team to clean and annotate your labels. This will ensure that your models are trained with high-quality data.

The prompt you enter is crucial to generating high-quality images on AI Image platforms such as MidJourney. PromptMakr is a super-easy way to create and store your own high-quality prompts using an interactive user interface.

PromptAIdeas provides personalized prompts for ChatGPT, a cutting-edge AI language engine. PromptAIdeas offers tailored prompts to meet your specific needs, whether you are an individual who wants to improve your conversations, a writer looking to improve your writing skills, a business that wants better customer engagement. You can access conversation starters and writing prompts as well as marketing ideas, persuasive email templates, and customer service prompts with just one simple statement. PromptAIdeas helps you save time, boost productivity, and improve communication skills. It will help you achieve both your personal and professional goals.

Explore the potential of AI using ChatGPT, DALL*E Stable Diffusion, and Midjourney. Everyone can benefit from a free prompt marketplace. Find the best AI prompts quickly and easily for your project. Minimizing the number of prompts is one way to reduce token costs for AI models such as GPT and AI Image Generators. To begin using GPT or AI image generator models, you can use a prompt which has produced similar results. You can see an example response to a prompt on the page in order to get a feel for how a model will respond. Our prompts and services can be used in any way that you like. Discover the best prompts and services for ChatGPT DALL*E Stable Diffusion Midjourney. A free marketplace for all. We provide the most diverse and abundant selection of AI prompts. We are a way to communicate with artificial intelligent.

Google VideoFX, an experimental tool from Google Labs, uses artificial intelligence to convert text descriptions into short video clips. Veo is one of Google DeepMind’s most advanced video generation models. It can create high-quality videos in 1080p resolution with various cinematic styles. VideoFX is a technology that allows users to create their own synthetic videos. Create videos with care, especially when creating videos of people. Please review videos before you use them. Videos can display inaccurate information about people. VideoFX uses Google's Veo model to generate videos and SynthID (Google DeepMind's new watermarking technology) to embed a watermark into all videos. The generated videos and our prompts are still in the experimental stage. Google collects information about your interactions with the tool. This includes your tool outputs, product usage, and feedback.

PromptDrive helps teams adopt AI by bringing together all their prompts, chats and teammates in one workspace. Our web app allows you to create prompts quickly. Add context by adding notes, selecting a platform and selecting a folder. You can leave comments for your team to use and improve prompts. PromptDrive allows you to run and collaborate on ChatGPT Claude and Gemini without leaving the app. Add your API keys, select your model, then start prompting. Iterate until you get the desired response. Organize them however you like. Our prompt management tool includes a built-in search, so you can easily find, copy and execute prompts. Add variables to your workflow when you are dealing with repetitive prompts. We make it simple to share your prompts. Each folder and prompt contains a unique URL, which allows you to share it with anyone publicly or privately. Use our extension to find and use prompts quickly when you need them.

AI is today blocked by a lack of labeled data. Not models. The first data-centric AI platform powered by a programmatic approach will unblock AI. With its unique programmatic approach, Snorkel AI is leading a shift from model-centric AI development to data-centric AI. By replacing manual labeling with programmatic labeling, you can save time and money. You can quickly adapt to changing data and business goals by changing code rather than manually re-labeling entire datasets. Rapid, guided iteration of the training data is required to develop and deploy AI models of high quality. Versioning and auditing data like code leads to faster and more ethical deployments. By collaborating on a common interface, which provides the data necessary to train models, subject matter experts can be integrated. Reduce risk and ensure compliance by labeling programmatically, and not sending data to external annotators.

CoPrompt provides a flexible and simple platform for teams to use ChatGPT. Iterate prompts to achieve better results, and learn from one another.

Qwen-7B, also known as Qwen-7B, is the 7B-parameter variant of the large language models series Qwen. Tongyi Qianwen, proposed by Alibaba Cloud. Qwen-7B, a Transformer-based language model, is pretrained using a large volume data, such as web texts, books, code, etc. Qwen-7B is also used to train Qwen-7B Chat, an AI assistant that uses large models and alignment techniques. The Qwen-7B features include: Pre-trained with high quality data. We have pretrained Qwen-7B using a large-scale, high-quality dataset that we constructed ourselves. The dataset contains over 2.2 trillion tokens. The dataset contains plain texts and codes and covers a wide range domains including general domain data as well as professional domain data. Strong performance. We outperform our competitors in a series benchmark datasets that evaluate natural language understanding, mathematics and coding. And more.

Meta's MusicGen, an open-source deep learning language model, can generate short pieces based on text. The model was trained using 20,000 hours worth of music, including full tracks and individual instrument samples. MusicGen can produce about 12 seconds of audio based on a text description.

Forms that build businesses. Formsort allows companies at all stages to create, refine, improve, and increase user signup, registration and onboarding. Create customer conversations. No engineering required to quickly launch forms. Integrate your design. You can complement your brand with high-quality styles and components that are flexible. Use your data. As your business grows, you can personalize your forms by adding custom steps, data sources, logic, and logic. You can increase conversion over time. You won't need to learn them again from your customers. With rich analytics, powerful CMS and comprehensive A/B testing, you can confidently iterate. Don't compromise on security. Formsort was created in the highly regulated and complex world of finance. Security and compliance have been a top priority from day one.

Use Prompt mixer to create chains and prompts. Combine your chains with data sets and improve using AI. Test scenarios can be developed to evaluate various prompt and model combinations, determining the best combination for different use cases. Prompt mixer can be used for a variety of tasks, including creating content and conducting R&D. Prompt mixer can boost your productivity and streamline your workflow. Use Prompt mixer to create, evaluate, and deploy content models for different applications, such as emails and blog posts. Use Prompt mixer to extract or combine data in a secure manner, and monitor it easily after deployment.