Best Prompt Engineering Tools in New Zealand - Page 2

Effective prompt engineering is crucial for achieving the desired results when utilizing AI tools. With AI Keytalk, you gain access to an extensive collection of industry-specific prompts. By leveraging insights gathered from over 88,000 reviews of movies and TV shows, you can craft the ideal concept for your upcoming project. AI Keytalk prompts serve as a comprehensive resource for planning your next film or television series. From the outset, you can collaborate seamlessly, benefiting from a thorough production plan that includes movie references, suggestions for cast and crew, and much more. Furthermore, these prompts can help you develop compelling storylines and vibrant characters. You can explore a vast array of prompts tailored for plot progression, character development, writing techniques, and climaxes, all sourced from existing literature and comics. Additionally, AI Keytalk assists in formulating the perfect prompts for specifying the artistic direction of your movie poster, scene creation, character designs, and beyond. By integrating these prompts with generative AI tools, you can enhance collaboration and streamline the creative process, ensuring a successful outcome for your project. Ultimately, the right prompts can transform your ideas into a captivating visual narrative.

Entry Point AI serves as a cutting-edge platform for optimizing both proprietary and open-source language models. It allows users to manage prompts, fine-tune models, and evaluate their performance all from a single interface. Once you hit the ceiling of what prompt engineering can achieve, transitioning to model fine-tuning becomes essential, and our platform simplifies this process. Rather than instructing a model on how to act, fine-tuning teaches it desired behaviors. This process works in tandem with prompt engineering and retrieval-augmented generation (RAG), enabling users to fully harness the capabilities of AI models. Through fine-tuning, you can enhance the quality of your prompts significantly. Consider it an advanced version of few-shot learning where key examples are integrated directly into the model. For more straightforward tasks, you have the option to train a lighter model that can match or exceed the performance of a more complex one, leading to reduced latency and cost. Additionally, you can configure your model to avoid certain responses for safety reasons, which helps safeguard your brand and ensures proper formatting. By incorporating examples into your dataset, you can also address edge cases and guide the behavior of the model, ensuring it meets your specific requirements effectively. This comprehensive approach ensures that you not only optimize performance but also maintain control over the model's responses.

CometLLM serves as a comprehensive platform for recording and visualizing your LLM prompts and chains. By utilizing CometLLM, you can discover effective prompting techniques, enhance your troubleshooting processes, and maintain consistent workflows. It allows you to log not only your prompts and responses but also includes details such as prompt templates, variables, timestamps, duration, and any necessary metadata. The user interface provides the capability to visualize both your prompts and their corresponding responses seamlessly. You can log chain executions with the desired level of detail, and similarly, visualize these executions through the interface. Moreover, when you work with OpenAI chat models, the tool automatically tracks your prompts for you. It also enables you to monitor and analyze user feedback effectively. The UI offers the feature to compare your prompts and chain executions through a diff view. Comet LLM Projects are specifically designed to aid in conducting insightful analyses of your logged prompt engineering processes. Each column in the project corresponds to a specific metadata attribute that has been recorded, meaning the default headers displayed can differ based on the particular project you are working on. Thus, CometLLM not only simplifies prompt management but also enhances your overall analytical capabilities.

Introducing Narrow AI: Eliminating the Need for Prompt Engineering by Engineers Narrow AI seamlessly generates, oversees, and fine-tunes prompts for any AI model, allowing you to launch AI functionalities ten times quicker and at significantly lower costs. Enhance quality while significantly reducing expenses - Slash AI expenditures by 95% using more affordable models - Boost precision with Automated Prompt Optimization techniques - Experience quicker responses through models with reduced latency Evaluate new models in mere minutes rather than weeks - Effortlessly assess prompt effectiveness across various LLMs - Obtain benchmarks for cost and latency for each distinct model - Implement the best-suited model tailored to your specific use case Deliver LLM functionalities ten times faster - Automatically craft prompts at an expert level - Adjust prompts to accommodate new models as they become available - Fine-tune prompts for optimal quality, cost efficiency, and speed while ensuring a smooth integration process for your applications.

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.

AI engineering can be transparent rather than opaque. With a suite of tools for tracing, assessment, prompt management, and more, HoneyHive emerges as a comprehensive platform for AI observability and evaluation, aimed at helping teams create dependable generative AI applications. This platform equips users with resources for model evaluation, testing, and monitoring, promoting effective collaboration among engineers, product managers, and domain specialists. By measuring quality across extensive test suites, teams can pinpoint enhancements and regressions throughout the development process. Furthermore, it allows for the tracking of usage, feedback, and quality on a large scale, which aids in swiftly identifying problems and fostering ongoing improvements. HoneyHive is designed to seamlessly integrate with various model providers and frameworks, offering the necessary flexibility and scalability to accommodate a wide range of organizational requirements. This makes it an ideal solution for teams focused on maintaining the quality and performance of their AI agents, delivering a holistic platform for evaluation, monitoring, and prompt management, ultimately enhancing the overall effectiveness of AI initiatives. As organizations increasingly rely on AI, tools like HoneyHive become essential for ensuring robust performance and reliability.

DagsHub serves as a collaborative platform tailored for data scientists and machine learning practitioners to effectively oversee and optimize their projects. By merging code, datasets, experiments, and models within a cohesive workspace, it promotes enhanced project management and teamwork among users. Its standout features comprise dataset oversight, experiment tracking, a model registry, and the lineage of both data and models, all offered through an intuitive user interface. Furthermore, DagsHub allows for smooth integration with widely-used MLOps tools, which enables users to incorporate their established workflows seamlessly. By acting as a centralized repository for all project elements, DagsHub fosters greater transparency, reproducibility, and efficiency throughout the machine learning development lifecycle. This platform is particularly beneficial for AI and ML developers who need to manage and collaborate on various aspects of their projects, including data, models, and experiments, alongside their coding efforts. Notably, DagsHub is specifically designed to handle unstructured data types, such as text, images, audio, medical imaging, and binary files, making it a versatile tool for diverse applications. In summary, DagsHub is an all-encompassing solution that not only simplifies the management of projects but also enhances collaboration among team members working across different domains.

Velocity is an innovative platform that leverages artificial intelligence to significantly improve the quality of content generated by transforming simple instructions into dynamic and contextually detailed prompts. This advanced tool simplifies the prompt engineering process, allowing users to effortlessly create more intelligent prompts. With seamless integration into current workflows, Velocity empowers users to enhance their AI interactions while minimizing the need for extensive manual intervention. Featuring a user-friendly interface, the platform offers convenient login options for those who are registered. Moreover, Velocity actively engages with its community through various social media channels, sharing updates and fostering connections. By exploring the limitless opportunities available, users can elevate their creative endeavors with ease. Enhance your productivity with top-tier prompts designed specifically for professional applications, enabling you to simplify research tasks, brainstorm innovative ideas, or craft lesson plans with both accuracy and flair. Through Velocity, the potential for creativity and efficiency in your projects is boundless.

Leverage cutting-edge NLP advancements by utilizing Haystack's pipeline architecture on your own datasets. You can create robust solutions for semantic search, question answering, summarization, and document ranking, catering to a diverse array of NLP needs. Assess various components and refine models for optimal performance. Interact with your data in natural language, receiving detailed answers from your documents through advanced QA models integrated within Haystack pipelines. Conduct semantic searches that prioritize meaning over mere keyword matching, enabling a more intuitive retrieval of information. Explore and evaluate the latest pre-trained transformer models, including OpenAI's GPT-3, BERT, RoBERTa, and DPR, among others. Develop semantic search and question-answering systems that are capable of scaling to accommodate millions of documents effortlessly. The framework provides essential components for the entire product development lifecycle, such as file conversion tools, indexing capabilities, model training resources, annotation tools, domain adaptation features, and a REST API for seamless integration. This comprehensive approach ensures that you can meet various user demands and enhance the overall efficiency of your NLP applications.

Introduce features powered by LLMs into production using tools designed for prompt engineering, semantic search, version control, quantitative testing, and performance tracking, all of which are compatible with the leading LLM providers. Expedite the process of developing a minimum viable product by testing various prompts, parameters, and different LLM providers to quickly find the optimal setup for your specific needs. Vellum serves as a fast, dependable proxy to LLM providers, enabling you to implement version-controlled modifications to your prompts without any coding requirements. Additionally, Vellum gathers model inputs, outputs, and user feedback, utilizing this information to create invaluable testing datasets that can be leveraged to assess future modifications before deployment. Furthermore, you can seamlessly integrate company-specific context into your prompts while avoiding the hassle of managing your own semantic search infrastructure, enhancing the relevance and precision of your interactions.

Be it prompt engineering, fine-tuning, or extensive training, we are fully equipped to fulfill your business needs. Seamlessly incorporate your newly developed model into your application with the Together Inference API, which offers unparalleled speed and flexible scaling capabilities. Together AI is designed to adapt to your evolving requirements as your business expands. You can explore the training processes of various models and the datasets used to enhance their accuracy while reducing potential risks. It's important to note that the ownership of the fine-tuned model lies with you, not your cloud service provider, allowing for easy transitions if you decide to switch providers for any reason, such as cost adjustments. Furthermore, you can ensure complete data privacy by opting to store your data either locally or within our secure cloud environment. The flexibility and control we offer empower you to make decisions that best suit your business.

Prompt Hunt simplifies the art creation process through its innovative AI model, Chroma, paired with a collection of validated styles and templates. This platform caters to everyone, from seasoned artists to newcomers, equipping you with everything necessary to bring your artistic visions to life quickly and effectively. Acknowledging the significance of user privacy, we ensure that all features are available to our users while maintaining their confidentiality. In Prompt Hunt, a template serves as a ready-made design outline that facilitates art creation, eliminating the complexities of intricate prompt crafting. By merely inputting a subject and clicking "create," you allow the template to manage the intricate details, producing the intended results with ease. Additionally, Prompt Hunt empowers users to craft their own templates, providing the flexibility to either share their unique designs with the community or keep them exclusive. This dual capability enriches the user experience, making it a versatile platform for creativity.

Freeplay empowers product teams to accelerate prototyping, confidently conduct tests, and refine features for their customers, allowing them to take charge of their development process with LLMs. This innovative approach enhances the building experience with LLMs, creating a seamless connection between domain experts and developers. It offers prompt engineering, along with testing and evaluation tools, to support the entire team in their collaborative efforts. Ultimately, Freeplay transforms the way teams engage with LLMs, fostering a more cohesive and efficient development environment.

Streamline your prompt testing, collaboration, versioning, and deployment all in one location with PromptHub. Eliminate the hassle of constant copy and pasting by leveraging variables for easier prompt creation. Bid farewell to cumbersome spreadsheets and effortlessly compare different outputs side-by-side while refining your prompts. Scale your testing with batch processing to effectively manage your datasets and prompts. Ensure the consistency of your prompts by testing across various models, variables, and parameters. Simultaneously stream two conversations and experiment with different models, system messages, or chat templates to find the best fit. You can commit prompts, create branches, and collaborate without any friction. Our system detects changes to prompts, allowing you to concentrate on analyzing outputs. Facilitate team reviews of changes, approve new versions, and keep everyone aligned. Additionally, keep track of requests, associated costs, and latency with ease. PromptHub provides a comprehensive solution for testing, versioning, and collaborating on prompts within your team, thanks to its GitHub-style versioning that simplifies the iterative process and centralizes your work. With the ability to manage everything in one place, your team can work more efficiently and effectively than ever before.

Promptologer is dedicated to empowering the upcoming wave of prompt engineers, entrepreneurs, business leaders, and everyone in between. Showcase your array of prompts and GPTs, easily publish and disseminate content through our blog integration, and take advantage of shared SEO traffic within the Promptologer network. This is your comprehensive toolkit for managing products, enhanced by AI technology. UserTale simplifies the process of planning and executing your product strategy, from generating product specifications to developing detailed user personas and business model canvases, thereby reducing uncertainty. Yippity’s AI-driven question generator can automatically convert text into various formats such as multiple choice, true/false, or fill-in-the-blank quizzes. The diversity in prompts can result in a wide range of outputs. We offer a unique platform for deploying AI web applications that are exclusive to your team, allowing members to collaboratively create, share, and use company-approved prompts, thus ensuring consistency and high-quality results. Additionally, this approach fosters innovation and teamwork across your organization, ultimately driving success.

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.

Enable both technical and non-technical teams to efficiently test your LLM applications and deliver dependable products more swiftly. Speed up the LLM application development process to as little as 45 days. Foster collaboration between teams with an intuitive and user-friendly interface. Achieve complete insight into your LLM application's performance through extensive test coverage. Ottic seamlessly integrates with the tools utilized by your QA and engineering teams, requiring no additional setup. Address any real-world testing scenario and create a thorough test suite. Decompose test cases into detailed steps to identify regressions within your LLM product effectively. Eliminate the need for hardcoded prompts by creating, managing, and tracking them with ease. Strengthen collaboration in prompt engineering by bridging the divide between technical and non-technical team members. Execute tests through sampling to optimize your budget efficiently. Analyze failures to enhance the reliability of your LLM applications. Additionally, gather real-time insights into how users engage with your app to ensure continuous improvement. This proactive approach equips teams with the necessary tools and knowledge to innovate and respond to user needs swiftly.

Rapidly refine your work and deploy with assurance. To ensure confident deployment, assess your prompts using a comprehensive evaluation toolkit that includes context recall, LLM as a judge, latency metrics, and additional tools. Let us take care of intelligent caching and sophisticated integrations to help you save both time and resources. Engage in swift iterations of your prompts within a collaborative environment that accommodates all leading providers, supports variables, offers automatic versioning, and more. Effortlessly create datasets from actual data utilizing Logs, upload your own as a CSV file, or collaboratively construct and modify within your Adaline workspace. Monitor usage, latency, and other important metrics to keep track of your LLMs' health and your prompts' effectiveness through our APIs. Regularly assess your completions in a live environment, observe how users interact with your prompts, and generate datasets by transmitting logs via our APIs. This is the unified platform designed for iterating, evaluating, and overseeing LLMs. If your performance declines in production, rolling back is straightforward, allowing you to review how your team evolved the prompt over time while maintaining high standards. Moreover, our platform encourages a seamless collaboration experience, which enhances overall productivity across teams.

Mirascope is an innovative open-source library designed on Pydantic 2.0, aimed at providing a clean and highly extensible experience for prompt management and the development of applications utilizing LLMs. This robust library is both powerful and user-friendly, streamlining interactions with LLMs through a cohesive interface that is compatible with a range of providers such as OpenAI, Anthropic, Mistral, Gemini, Groq, Cohere, LiteLLM, Azure AI, Vertex AI, and Bedrock. Whether your focus is on generating text, extracting structured data, or building sophisticated AI-driven agent systems, Mirascope equips you with essential tools to enhance your development workflow and create impactful, resilient applications. Additionally, Mirascope features response models that enable you to effectively structure and validate output from LLMs, ensuring that the responses meet specific formatting requirements or include necessary fields. This capability not only enhances the reliability of the output but also contributes to the overall quality and precision of the application you are developing.

Literal AI is a collaborative platform crafted to support engineering and product teams in the creation of production-ready Large Language Model (LLM) applications. It features an array of tools focused on observability, evaluation, and analytics, which allows for efficient monitoring, optimization, and integration of different prompt versions. Among its noteworthy functionalities are multimodal logging, which incorporates vision, audio, and video, as well as prompt management that includes versioning and A/B testing features. Additionally, it offers a prompt playground that allows users to experiment with various LLM providers and configurations. Literal AI is designed to integrate effortlessly with a variety of LLM providers and AI frameworks, including OpenAI, LangChain, and LlamaIndex, and comes equipped with SDKs in both Python and TypeScript for straightforward code instrumentation. The platform further facilitates the development of experiments against datasets, promoting ongoing enhancements and minimizing the risk of regressions in LLM applications. With these capabilities, teams can not only streamline their workflows but also foster innovation and ensure high-quality outputs in their projects.

PromptPerfekt is a specialized tool aimed at assisting users in formulating accurate and impactful prompts for large language models and other AI technologies. It includes features such as automatic prompt enhancement, compatibility with various AI systems like ChatGPT, GPT-3/3.5/4, DALL-E 2, Stable Diffusion, and MidJourney, as well as customizable multi-goal optimization to meet diverse requirements. The platform is capable of delivering refined prompts in under 10 seconds and offers support for multiple languages, ensuring it can be beneficial for users around the world. Additionally, PromptPerfekt boasts a user-friendly API and data export functionalities, which facilitate smooth integration into current workflows, enhancing productivity and efficiency. This makes it an invaluable resource for anyone looking to maximize the effectiveness of their AI interactions.

Lisapet.ai serves as a cutting-edge platform designed for AI prompt testing, significantly speeding up the creation of AI functionalities. Developed by a team that oversees a highly utilized AI-driven SaaS platform boasting more than 15 million users, it streamlines the process of prompt testing by minimizing manual tasks while guaranteeing dependable outcomes. Notable attributes encompass a flexible AI Playground, the ability to use parameterized prompts, structured output options, and the convenience of side-by-side editing. Users can collaborate effortlessly with automated test suites, access comprehensive reports, and utilize real-time analytics to enhance performance and reduce expenditures. By leveraging Lisapet.ai, organizations can launch AI features more efficiently and with increased assurance, paving the way for future innovations in AI technology. This platform exemplifies the potential for enhancing productivity in AI development.

SpellPrints allows creators to create and monetize generative AI-powered apps. The platform provides access to over 1,000 AI models and UI elements, as well as payments and prompt chaining interfaces. This makes it easy for prompt engineers turn their knowledge into a business. The creator can transform prompts or AI models into monetizable apps that can be distributed via UI and API. We are creating both a platform for developers and a marketplace where users can find and use these apps.