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While multiple elements define progress, creativity is the most prominent among them. From conceptualising a new product to tackling a new challenge, creativity helps us take giant strides forward towards our goal, be it business or personal goals. Now, imagine if we had tools to catalyse our creativity — something that gave it some breathing space to facilitate the fresh air of innovation! This is the helping hand that Generative AI Tools offer to today's creative minds.
These tools are pushing boundaries and transforming industries through their ability to generate a wide range of content, including emails, marketing videos, music, artwork, and codes at a rapid pace. This blog brings you a classified list of the 13 most widely used Generative AI Tools to help you unleash your creativity. Let's dive in!
Table of Contents
1) What is Generative AI?
2) Top 11 Best Generative AI Tools
a) ChatGPT
b) Dall-E2
c) Cohere Generate GPT-4
d) Bard
e) GitHub Copilot
f) AlphaCode
g) Duet AI
h) Synthesia
i) Claude
3) Conclusion
What is Generative AI?
Generative AI refers to a type of Artificial Intelligence system that has the capability to generate new content, such as images, text, or other forms of data. Unlike traditional AI, which relies on pre-programmed responses,Generative AI uses advanced algorithms and Machine Learning techniques to produce original and contextually relevant outputs.
This technology is often used in creative fields, content creation, and problem-solving. It demonstrates the ability to generate content that wasn't explicitly programmed, showcasing a level of creativity and adaptability.
Top Generative AI Tools
Let’s explore below some of the best Generative AI Tools that are revolutionising diverse sectors from marketing and social media to education and office work:
1) ChatGPT
ChatGPT, a creation by OpenAI, is a dynamic language model renowned for its impressive capability to generate text that closely resembles human language. Known for crafting natural conversations, elucidating queries, and assisting in creative writing, ChatGPT demonstrates exceptional versatility.
This innovation has proven highly effective in customer support bots, content creation, and author brainstorming, contributing to success in diverse fields. Its strength in natural language is continually refined through updates. In another development, ChatGPT announced its experimental premium subscription, ChatGPT Plus, which is meant for users needing additional processing power and early access to new features.
Key Features
a) Natural Language Understanding
b) Language Fluency
c) Answering Questions
e) Conversational Context
f) Open-Domain Conversations
g) Language Translation
h) Text Completion and Suggestion
i) Personalised Interactions
Use cases
a) Empowers interactive Chatbots for businesses, transforming customer support.
b) Streamlines the writing process for articles, marketing materials, and more.
c) Assists writers in overcoming creative blocks with innovative ideas during brainstorming sessions.
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2) DALL-E2
DALL-E2, an advanced generative AI model, stands out in the domain of image synthesis. Its proficiency in translating text into captivating visuals provides artists and designers with a tool to explore new dimensions of creativity. Noteworthy achievements include the generation of unique artwork and custom images.
While effectively bridging the gap between text and images, DALL-E2 fuels innovation, even though occasional inaccuracies and limitations within its trained concepts exist. DALL-E 2 version generates superior and more photorealistic images than DALL-E.
Key features
a) Phased deployment based on learning.
b) An original image can have several different versions.
c) Users can improve existing pictures using the inpainting tool.
d) Natural language inputs for generating images and art outputs.
e) Requesting edits or modifications for an image is done by the inpainting feature.
f) DALL-E API is made for developers.
Use Cases
a) Provides artists with the ability to envision their ideas visually.
b) Allows designers to create novel visual concepts.
c) Assists content creators in generating captivating custom images.
d) DALL-E2 aids in the creation of visually stunning virtual worlds.
3) Cohere Generate
Cohere Generate, a versatile and powerful text generator, is the top choice for companies seeking flexible and efficient AI-powered content solutions. It helps streamline and enhance product management, Digital Marketing and sales, enabling you to create product descriptions, adverts, and more. Cohere’s Playground offers a free trial of its features, supporting private, public, and hybrid clouds with a simple API for content creation and integration.
Key features
a) Tailored for various natural language generation tasks.
b) Capable of creating interactive conversational agents with ease.
c) Skillful in crafting personalised email content and blog posts.
d) Delivers responses that mimic human-like interactions .
Use Cases
a) Empowers companies to build interactive chatbots for improved user experiences (UX).
b) Streamlines customer communication through automated responses.
c) Facilitates the creation of personalised messages, thereby enhancing client engagement.
d) Successfully deployed in various sectors, including e-commerce and customer support.
4) GPT-4
GPT-4 signifies a significant advancement in AI language models and Generative AI Tools, showcasing improved text generation capabilities across diverse domains. Its excellence is evident in content creation, providing valuable assistance to writers, marketers, and educators. The versatile application of GPT-4 in natural language processing (NLP) tasks enhances data analysis.
The success stories highlight its role in generating innovative narratives and facilitating personalised conversational experiences. While GPT-4 demonstrates enhanced quality and versatility, caution is necessary due to the potential for inaccuracies and biases. GPT-4 is more accurate, inventive, safer and more stable than earlier generations such as GPT-3 and GPT-3.5.
Key Features
a) GPT-4 has 100 trillion parameters
b) Improved factual performance
c) Enhanced steerability
d) Image inputs capability
e) Multilingual capability
f) Outperformance on multiple benchmarks
g) Human-level performance on various benchmarks
Use Cases
a) GPT-4 plays a vital role in content creation, aiding writers, bloggers, and marketers in producing engaging material.
b) Empowers natural language processing (NLP) tasks, improving sentiment analysis and language understanding.
c) Serves as a companion for creative writing, sparking inspiration for authors and screenwriters.
5) Bard
Bard, a state-of-the-art chatbot and content-generation tool developed by Google, utilises LaMDA, a powerful transformer-based model, positioning itself as Google's counterpart to ChatGPT. In its current experimental phase, Bard is available to a limited user audience in the US and UK.
Key features
a) Built on LaMDA, a transformer-based model.
b) A rating system for user responses.
c) Available through individual Google accounts.
d) A waitlist is currently offered to a small number of UK and US customers.
e) Capable of assisting with tasks pertaining to Programming and software development.
Use Cases
a) Assists in brainstorming ideas, generating code snippets, and solving programming-related queries.
b) Aids in drafting written content, including articles, blog posts, and creative pieces.
c) Helps users in research and provides concise information on a wide range of topics.
d) Serves as a study partner, aiding users in understanding complex concepts and providing explanations.
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6) GitHub Copilot
GitHub Copilot is the first Microsoft Copilot technology to enter the market and has achieved notable success. This Generative AI tool aims to convert prompts in everyday language into code suggestions across all languages in public repositories. However, users need to exercise caution as some generated code may require refinement, and the tool heavily relies on external APIs for suggestions.
Key features
a) Copilot for Business package and Copilot for Individuals are available.
b) Natural language prompts are converted into code.
c) Multi-line function suggestions.
d) Built upon the wide-ranging skills and data collections from GitHub’s open repositories and OpenAI Codex.
e) Copilot can block any suggestions that match public code.
Use Cases
a) Streamlines coding processes, enhancing developers' ability to meet deadlines.
b) Serves as an educational resource, assisting programmers in grasping new concepts.
c) Elevates code quality by encouraging adherence to coding best practices.
d) Guides newcomers in understanding codebases and making meaningful contributions.
e) Empowers developers to explore innovative solutions by suggesting alternative approaches.
7) AlphaCode
AlphaCode, developed by DeepMind, stands out as one of the top Generative AI tools for coding and problem-solving within the field of AI-generated content. It boasts 41.4 billion parameters, making this transformer language model larger than other models such as OpenAI Codex.
Key Features:
a) Advanced Generative AI for coding assistance.
b) Multiple Programming Languages and paradigms support.
c) Offers real-time code suggestions and bug fixes.
d) Code optimisation solutions.
e) Collaborative coding with shared suggestions.
f) Smart filtering after large-scale code generation.
g) Dataset and solutions available on GitHub.
Use Cases:
a) Streamlines coding workflows for accelerated project development.
b) Automates repetitive tasks, enhancing productivity.
c) Facilitates rapid learning of new programming languages.
d) Efficiently resolves coding errors and bugs.
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8) Synthesia
Synthesia AI transforms content creation by allowing the generation of realistic videos from text inputs. Through sophisticated deep-learning techniques, it seamlessly blends text with lifelike visuals, translating ideas into captivating visual experiences. This innovation has diverse applications in Marketing, entertainment, and education, reshaping how we convey and conceptualise information.
AlphaCode, developed by DeepMind, stands out as one of the top Generative AI tools for coding and problem-solving within the field of AI-generated content. It boasts 41.4 billion parameters, making this transformer language model larger than other models such as OpenAI Codex.
Key Features:
a) Advanced Generative AI for coding assistance.
b) Multiple Programming Languages and paradigms support.
c) Offers real-time code suggestions and bug fixes.
d) Code optimisation solutions.
e) Collaborative coding with shared suggestions.
f) Smart filtering after large-scale code generation.
g) Dataset and solutions available on GitHub.
Use Cases:
a) Aids marketers in crafting advertisements and marketing campaigns.
b) Empowers content creators to develop tutorials and personalised video messages.
c) Assists educators in creating educational videos and presentations.
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9) Claude
Claude, an advanced AI assistant developed by Anthropic, represents a cutting-edge achievement in AI technology. It is the outcome of dedicated research aimed at creating AI systems that are not only useful but also ethical and secure.
Key features:
a) Proficiently management of extensive text data processing.
b) Engages in conversations naturally and fluently.
c) Exhibits proficiency in multiple languages (Common and programming languages).
d) Prioritises user safety by incorporating red-team prompts to reduce risky content production.
e) Streamlines and automates complex workflows.
f) Seamlessly adjusts to user feedback for continuous improvement.
Use Cases of Claude:
a) Supports programmers in coding tasks across various languages.
b) Streamlines business processes to enhance overall efficiency.
c) Provides interactive educational experiences to support students.
10) Copy.ai
Copy AI uses Machine Learning (ML) to generate various types of content, including emails, Social Media content, blog headlines, web copy, and more. Built upon OpenAI’s GPT-3 Large Language Model (LLM), Copy AI is designed to help users with copywriting. Additionally, it can easily differentiate between content intent, for example, slogans, marketing copy, punchy headlines, etc.
Key Features:
a) Closed captioning services
b) Localisation services
c) Faster blog writing output with the “First Draft Wizard” feature
d) Interpretation
e) Multilingual desktop publishing
f) Translation and transcription service
g) Higher converting posts for social media
h) Personalised email creation
Use Cases:
a) Crafts emails for scenarios such as outreach or follow-ups.
b) Develop sales proposals with text and images tailored to specific prospects.
c) Power chatbots that respond to customer inquiries in real-time.
d) Provides customer insights and performance forecasting based on sales data and historical data.
e) Repurposes blog post and other content into newsletters and automate detailed reports on Marketing Campaigns.
11) Descript
Made by the Descript company in San Francisco, this is a collaboration editor for audio or video works in the cloud. This is among the best Generative AI Tools boasting capabilities such as complete multitrack editing, publishing, transcription, and screen recording.
Key Features:
a) Making editable podcast transcripts
b) Social clips and templates
c) Provides Video Captions
d) Generous free tier
e) Collaborating on scripts
f) Screen recording
g) Publishing and overdub
h) Studio Sound
i) Subtitles and captions
j) Filler word removal
Use Cases:
a) Enables podcast editing by editing texts and removing filler words.
b) Eases the process of Video Editing by rearranging sections, adding images, voice overs etc.
c) Helps students to transcribe class notes and create presentations.
d) Enables quick creation of clips and marketing videos for Social Media platforms including voice overs and subtitles.
e) Enables team collaboration through sharing projects with team members for feedback and improvement.
f) Helps publish videos with interactive transcripts that make navigating and commenting on specific sections easy.
12) Type Studio
Type Studio is an online text-based video editor that runs in a browser. Users can upload videos in Type Studio, and it performs tasks such as transcribing spoken words into text, eliminating the need to edit videos with a timeline.
Key Features:
a) Transcription and translation Software
b) Browses video content
c) Automatically generated closed captions and subtitles.
d) Content Management Systems (CMS)
e) Video editing
f) Stores footage online
g) Cloud video rendering
Use Cases:
a) Capable of producing and editing training videos with ease, adding elements such as subtitles to enhance learning.
b) Records and transcribes lectures, making them more accessible to review.
c) Capable of converting long-form videos into shorter clips suitable for social media platforms.
d) Creates engaging marketing videos with voice overs and subtitles.
13) Designs.ai
Designs.ai is an all inclusive AI design tool that can handle multiple content development tasks, including creating videos, voiceovers, social media postings, and logos.
Key Features:
a) Logo maker
b) Design maker
c) Graphic painter
d) Colour matcher
e) Video maker
f) Speech maker
g) Font Painter
h) Calendar
Use Cases:
a) Generate unique logo designs by inputting company names and preferences.
b) Create complete branding kits, including typography, colour palettes, and business card designs.
c) Generate visually appealing and informative infographics to simplify complex data.
d) Create Responsive Web Design layouts quickly, ensuring a seamless user experience (UX) across multiple devices.
e) Create realistic product mockups to showcase items in online stores.
Conclusion
In summary, Generative AI tools open up exciting possibilities for creativity, efficiency, and innovation. Whether it's creating formal office content or creating exciting new art, these tools are paving the way for a future where Artificial Intelligence works hand in hand with human ingenuity . We hope this blog helps you push your creativity to new horizons.
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Frequently Asked Questions
There are various career options available in Generative AI such as:
a) AI and Machine Learning specialists
b) Business Intelligence analysts
c) Information Security analysts
d) FinTech engineers
e) Data Analysts and scientists
f) AI prompt engineers
g) AI-human workflow designers
The biggest players in Generative AI include Microsoft, OpenAI, Google, Accenture and IBM.
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