Whether you are an experienced professional or a novice in the field of prompt engineering, you may need some tools to help you out. In this article, we will look into the best prompt engineering tools that you can use in 2024.
best prompt engineering tools
Over the past few years, the world has seen an onslaught of artificial intelligence (AI) models. OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude are some examples of these models.
Writing text and codes is a thing of the past now, the AI models we have today can create realistic images, audio, and videos from a simple text prompt.
These text prompts, however simple as they seem, are one of the most important aspects of getting an AI model to work. To put it simply, the more specific your prompt, the more accurate results you will get from the LLM (large language model).
This is why the demand for prompt engineering professionals has grown tremendously in the past few months. Prompt engineering is “the process of crafting specific requests and instructions that guide generative AI models to produce desired outputs.”
Whether you are an experienced professional or a novice in the field of prompt engineering, you may need some tools to help you out. In this article, we will look into the best prompt engineering tools that you can use in 2024.
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Here are the best prompt engineering tools of 2024:
1. Agenta
AgentaAI is an open-source platform that aids developers and product teams in creating robust AI applications using LLMs. It provides tools for prompt management and evaluation, allowing rapid experimentation and comparison of prompts on any LLM workflow, creation of test sets, evaluation with pre-existing or custom evaluators, annotation, and A/B testing with human feedback, collaboration with product teams for prompt engineering and evaluation, and deployment in one-click via UI, CLI, or GitHub workflows.
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PromptPerfect is a platform that enables the development, debugging, and deployment of optimized prompts for various AI models, including GPT-4, ChatGPT, Midjourney, DALL-E 2, and Stable Diffusion. It offers a user-friendly interface for prompt engineers, content creators, and AI developers, ensuring efficient and superior results in prompt development.
3. PromptAppGPT
PromptAppGPT is a low-code prompt-based rapid app development framework that enables natural language app development based on GPT. It features GPT text generation, DALLE image generation, online prompt editor, compiler, runer, automatic user interface generation, and plug-in extensions.
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4. LangChain
LangChain is an open-source framework for building applications based on large language models (LLMs). It provides tools and abstractions to improve customization, and accuracy, and relevancy of the information generated by LLMs. LangChain streamlines intermediate steps to develop data-responsive applications, making prompt engineering more efficient. It allows organizations to repurpose LLMs for domain-specific applications without retraining or fine-tuning, simplifies AI development by abstracting data source integrations and prompt refining, and provides AI developers with tools to connect language models with external data sources.
How to become a prompt engineer?
5. PromptSource
PromptSource is a toolkit for designing, sharing, and implementing natural language prompts. Recent research demonstrates that big language models can conduct zero-shot generalization to new tasks, with prompts serving as a common denominator. PromptSource has a growing library of over 2,000 English prompts for over 170 English datasets in P3. The toolkit includes tools for creating and sharing prompts, which are stored in standalone structured files and written in Jinja.
PROMPTMETHEUS is a tool that enables users to create, test, optimize, and deploy one-shot prompts for OpenAI and other LLM providers. It allows users to create prompts from individual blocks, test variations with different models, rate outputs, generate visualizations, export results, and offer paid plans for cloud sync and real-time collaboration.
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7. LMStudio
LM Studio is a free desktop AI program that makes use of open-source Large Language Models (LLMs). It includes a browser for LLM downloads, an in-app Chat UI, and a local server runtime that supports the OpenAI API. This enables development environments and ChatGPT cloning without compromising business data.
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Azure Machine Learning prompt flow is a development tool that simplifies the development cycle of AI applications powered by Large Language Models (LLMs). It allows for the creation of executable flows linking LLMs, prompts, and Python tools, easy debugging and sharing, large-scale testing of prompt variants, and real-time deployment of LLM-enabled endpoints. This versatile and intuitive tool is ideal for those looking to streamline their LLM-based AI application development.
9. Helicone AI
Helicone is an open-source platform designed for Generative AI, offering features like observability, gateway, data collection, fine-tuning, evaluations, and a customer portal. It allows developers to build the best AI products with a simple integration of two lines of code. It is used by thousands of developers to focus on product development.
10. Prmpts.ai
Prmpts.ai is an artificial intelligence tool that empowers prompt engineers to craft high-performing prompts for tasks like language translation, question answering, and text generation.
11. PromptHero
PromptHero is a search engine for Stable Diffusion, Midjourney, and DALL-E 2 prompts. It encourages a community of AI-generated artists and images while also providing tools to empower these prompters and improve their creative productivity.
The Bottom Line
The above-listed 11 are some of the best prompt engineering tools that can be used in 2024 by a seasoned professional as well as a beginner. Do not forget to give them a try!
Fine-Tuning vs Prompt Engineering: Check Key Differences Between them
Prompt engineering tools are platforms or software that provide prompts for tasks like language translation, question answering, and text generation. These tools help users generate creative content or solutions by providing structured inputs to AI models.
Yes, prompt engineering is worth it. With the rise of large language models, the demand for prompt engineers has surged. It is one of the most in-demand professions in the world right now.
This post was last modified on March 8, 2024 7:35 am
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