Best 12 generative ai applications Tools in 2024

HoneyHive, SpellPrints, Promptly, All GPTs Directory, Klu, Razzle.ai, CONVA, Genera.so, Alethea, ReByte are the best paid / free generative ai applications tools.

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68.06%
0
Evaluation and observability tools for Generative AI applications.
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6
Build and monetize generative AI-powered applications.
39.0K
20.65%
0
Build generative AI apps and workflows without code
6.9K
34.67%
3
Comprehensive resource for GPT models and AI agents.
164.8K
15.98%
3
Design, deploy, and optimize Generative AI apps with Klu.
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0
Unlock potential. Talk to work tools.
35.0K
71.70%
0
Voice-first generative A.I. co-pilots for apps.
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70.83%
5
Easily turn models into online applications.
10.9K
28.17%
9
Alethea AI combines Generative AI and Blockchain to develop interactive AI characters.
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0
ReByte is an AI-powered platform that enables users to build generative AI applications and edit tools easily using LLM technology.
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0
AI-driven platform for stunning app UIs in minutes.
117.1K
27.50%
5
Harness AI power for custom business processes with VectorShift's generative AI platform.
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What is generative ai applications?

Generative AI applications are a set of artificial intelligence technologies that can create new content, such as text, images, audio, and video, based on learned patterns and rules from existing data. These applications have gained significant attention in recent years due to advancements in deep learning, particularly in areas like natural language processing (NLP) and computer vision.

What is the top 10 AI tools for generative ai applications?

Core Features
Price
How to use

Klu

Build, evaluate, and optimize GPT-4 Apps
Prototype in minutes with Klu Studio
Connect to CRM, Database, Knowledge Base, and Ticketing systems
Dynamic, generative prompts
GenAI chat with context, memory, sessions
Connect multiple Actions together
Retrieval-augmented generations
Interactive design environment
Connect SQL, Snowflake, Elasticache, Redis
CRM, Knowledge Base, and Ticketing integrations
Publish 1-click deploy
Advanced Data Engine for scaling Generative AI
Observe usage, cost, and performance insights
Add context documents via APIs or UI
Filtering with Context Metadata
Real-world user behavior and feedback
Advanced filters, import/export
Gather real-world learnings
Fine-tune GPT-4 and more with your data
Build with Klu Python, TypeScript, and React SDKs
Copilot with Context
Generate dynamic content with document reference
Create chat experiences with your brand voice
Create on-demand coaching
Summarize large documents
Quickly qualify leads
Create content with dynamic prompts
Analyze user feedback and sentiment
Extract, clean, and transform data

Hobby $0/month Get started with Klu – FREE for your first AI App and Actions. Perfect for hobby projects.
Pro $97/month 10x more usage, perfect for small projects and teams starting with Actions and Workflows.
Scale $2,697/month For businesses crafting their AI experience with competitive differentiation.
Enterprise $9,997+/month Enterprise-scale Klu, with AI-powered analysis and data labeling, reporting, and security.

Build with AI using your preferred LLMs – Claude, GPT-4, Llama 2, and more – with seamless integration with your data located in databases, files, or sites. Develop your best prompts, evaluate usage, and 1-click fine-tune models to improve performance.

VectorShift

The core features of VectorShift include: - Drag and drop application builder - Building chatbots and document search engines - Large Language Models (LLMs) integration (e.g., ChatGPT) - Connecting with various data sources - Pre-built pipelines marketplace - API deployment for instant access to applications

To use VectorShift, follow these steps: 1. Sign up and create an account on the VectorShift platform. 2. Explore the drag and drop application builder to design and prototype custom generative AI workflows. 3. Build chatbots, document search engines, and document creation workflows by leveraging Large Language Models (LLMs) such as ChatGPT. 4. Connect with various data sources to load files, PDFs, websites, videos, audio files, and code-bases as inputs. 5. Utilize pre-built pipelines from the marketplace or create your own and contribute them to the marketplace. 6. Deploy your applications with an API and allow end users to access them instantly.

Promptly

Generative AI app builder
AI agent creation
Data integration

Choose from popular LLMs, add data in any format, and use AI Agents for tasks from data retrieval to online form completion.

CONVA

Voice-first generative A.I. co-pilots
Multilingual and multimodal capabilities
Easy integration with mobile and web apps

CONVA Search Contact sales for pricing details. Pricing based on Monthly Active Users (MAU) of the mobile app.
CONVA Omni undefined Contact sales for pricing details.

To use CONVA, integrate the CONVA SDK into your mobile or web app. This will enable voice search and other conversational capabilities in your application.

Alethea

Core features of Alethea AI
Alethea AI offers several core features: - CharacterGPT V2: The world's first Multimodal AI system capable of generating interactive AI characters from natural language descriptions. - AI Protocol: A suite of decentralized smart contracts that enable ownership, interoperability, and governance of AI Characters and Assets. - MyCharacter.ai: An external decentralized application (dApp) built on the AI Protocol, providing access to realistic and customizable AI Characters tokenizable on the blockchain. - ALI Utility Token: The native ERC-20 utility token of the AI Protocol, facilitating transactions, governance, and intelligence upgrades for AI Characters.

How to use Alethea AI To use Alethea AI, visit their website and explore the available AI systems and tools. You can try out CharacterGPT V2 at MyCharacter.ai, the first decentralized application built on the AI Protocol. It allows you to generate realistic, interactive, and emotionally expressive AI Characters that can be tokenized on the blockchain. You can also learn more about the AI Protocol and its suite of decentralized smart contracts.

All GPTs Directory

You can use the All GPTs Directory to discover AI agents and applications that can enhance your projects or business processes. Browse through the listings, find the right AI tool for your specific needs, and leverage its capabilities to boost productivity and innovation.

HoneyHive

Evaluate prompts and models
Monitor performance in production
Manage and version prompts
Debug agents and RAG pipelines
Label datasets for evaluation and fine-tuning

1. Collaborate within HoneyHive's unified LLMOps platform to evaluate prompts and models. 2. Monitor performance in production. 3. Manage and version prompts. 4. Debug agents and RAG pipelines. 5. Label datasets for evaluation and fine-tuning.

Genera.so

Easy model uploading
Automated generation of online applications
Intuitive interface
Hassle-free GPU management

To use Genera.so, model makers can simply upload their models to the platform. Genera.so takes care of the rest and generates an online application with an intuitive interface.

SpellPrints

Access to over 1,000 AI models
UI elements
Payments integration
Prompt chaining interface

To use SpellPrints, creators can access over 1,000 AI models, UI elements, payments, and a prompt chaining interface. They can transform their know-how into a business without writing any code. Creators can turn prompts or AI models into monetizable applications that can be distributed via UI, API, and SpellPrints marketplace.

Razzle.ai

Work tools you can talk to
Multiple language models
Immersive chat experience
Powerful out of the box
Build your own AI agents

Join our waitlist and demo now!

Newest generative ai applications AI Websites

Voice-first generative A.I. co-pilots for apps.
Evaluation and observability tools for Generative AI applications.
Build generative AI apps and workflows without code

generative ai applications Core Features

Content generation

The ability to create new, original content based on learned patterns and rules from training data.

Variety

Generative AI can produce various types of content, including text, images, audio, and video.

Customization

The generated content can be tailored to specific styles, themes, or preferences.

Efficiency

Automating content creation processes, reducing time and effort required from humans.

What is generative ai applications can do?

Marketing and advertising: Generating product descriptions, ad copy, and social media content.

Entertainment: Creating scripts, storylines, and concept art for movies, TV shows, and video games.

Journalism: Automating the creation of news articles, summaries, and headlines.

Education: Generating educational content, such as practice questions, explanations, and study guides.

Design: Creating unique visual elements, textures, and patterns for graphic design and product development.

generative ai applications Review

User reviews of generative AI applications are generally positive, with many praising the technology's ability to create high-quality, diverse content quickly and efficiently. Some users appreciate the customization options and the potential for generating novel ideas. However, others express concerns about the potential for biased or inconsistent output and the need for human oversight to ensure the quality and appropriateness of the generated content.

Who is suitable to use generative ai applications?

A user interacts with a chatbot powered by a generative language model to get personalized recommendations or advice.

An artist uses a generative image model to create unique visual elements for their digital artwork.

A music enthusiast uses a generative audio model to create custom soundtracks for their videos.

How does generative ai applications work?

To use generative AI applications, follow these general steps: 1. Identify the type of content you want to generate (e.g., text, images, audio, video). 2. Collect and preprocess relevant training data for the chosen content type. 3. Select an appropriate generative AI model architecture (e.g., GPT for text, GANs for images). 4. Train the model on the preprocessed data, fine-tuning hyperparameters as needed. 5. Use the trained model to generate new content by providing appropriate input or prompts. 6. Evaluate and refine the generated content based on quality, coherence, and adherence to desired style or theme.

Advantages of generative ai applications

Increased efficiency and productivity in content creation processes

Ability to generate large volumes of content quickly

Customization of content to suit specific needs or preferences

Potential for creating novel and innovative content

Reduced costs associated with manual content creation

FAQ about generative ai applications

What is generative AI?
What types of content can generative AI create?
How does generative AI differ from traditional AI?
What are some popular generative AI models?
What are the limitations of generative AI?
What are some ethical concerns surrounding generative AI?