
Assessing the leading generative AI tools: the new age of innovation and creativity
With a multitude of Gen AI Data Analytics Tools coming into the marketplace, it’s more important than ever to identify which tools are truly transforming the future of automation, intelligent content creation, and data-driven decision-making.
Additionally, this article will discuss the best 10 generative AI tools that are not only changing workflows, but also exploring how we engaging with machines. First, we will look at the key features, benefits, drawbacks, and pricing of each.
- ChatGPT from OpenAI
ChatGPT is one of the most popular generative AI tools created by OpenAI. ChatGPT allows users to interact with advanced language models through conversation and prompts and is easily used as a conversational agent for everyday purposes including answering questions, writing help, brainstorming and much more. ChatGPT is a free tool with some advanced capabilities available through a premium plan – ChatGPT Plus, which enhances the user experience by providing faster response times, priority access, and early access to new features.
Key Features:
- High-level natural language comprehension and fluency
- Tracks and manages context between multiple conversational actions
- Allows open-domain discussions around a wide variety of topics
- Arguably best suited for tasks like answering questions, creative writing, and summarizing a text
- Can generate text completions and text suggestions from prompts
- Supports basic performing of language translation
- Adds engaged user interactions with tailored messaging, generating context between user actions
Pros:
- Provides natural and contextually aware conversations
- Available for free for general public use
- Intuitive and easy to use for casual and professional purposes
Cons:
- Could occasionally serve misleading or inaccurate snippets of information
- Limited by its training data and will not reflect events or knowledge suggested after its cutoff date (older models with cutoff data of September 2021; newer models like GPT-4 can have updates with browsing or plugins depending on the version)
Pricing:
- Free version available for public use
- ChatGPT Plus subscription starts at $20/month
- API usage pricing starts at $0.002 for 1,000 prompt tokens (depending on the model used)
- GPT-4 (OpenAI)
Coming at number 1 is GPT-4, OpenAI’s most recent and powerful large language model, which fully replaced GPT-3 and GPT-3.5. GPT-4 is much more creative, factual, and dependable, from self-assessing, it was much better than GPT-3 in factual reasoning and text input flexibility.
Key Features:
- While GPT-3 worked using 175 billion parameters, the specific parameter size of GPT-4 is undisclosed. Regardless, GPT-4 is a more advanced model.
- GPT-4 is multimodal, so can take in text and image inputs, which enables richer interactions.
- Improved factual accuracy and more context-aware responses.
- GPT-4 can take multilingual input and output, which could increase usability across global markets.
- Forced response modes, tones, and formats are more manageable than in GPT-3.
Pros:
- Dependable and it can generate high quality content with minimal input.
- Fast and scalable (content generation, automation, chatbot, programming assistance, etc).
- Lower cost than building your own from scratch.
Cons:
- Even though it is advanced technology, GPT-4 can still produce wrong or biased answers in certain situations.
- It requires very direct and structured prompting to get the best results.
Cost:
- a) GPT-4 API (OpenAI):
$0.03 per 1,000 tokens for the prompt input
$0.06 per 1,000 tokens for the generated output (completion)
- b) ChatGPT Plus (Internet or App access):
$20/month subscription that gives access to GPT-4 through ChatGPT, and priority usage access without deduction on a per-token basis.
- GitHub Copilot
GitHub Copilot is an AI based code-completion tool developed by GitHub and OpenAI to help developers by recommending individual lines or blocks of code and is powered by large language models (LLMs) trained on a large corpus of open-source code.
The features include:
- Intelligent real-time code recommendations based on natural language prompts and existing code.
- The ability to work with several programming languages, including, but not limited to, Python, JavaScript, TypeScript, Go, Ruby, and others.
- Trained on publicly available open-source code from GitHub repositories.
- Provides autocompletion not only for code, but also for inline documentation and comments.
- Types, realises the presence of your code style, context-aware to help you code quickly and aid in prototyping or coding exploration.
- Works well with major IDEs such as Visual Studio Code, JetBrains, and Neovim.
- Improves pair programming and assists the development workflow.
- Adapts to your usage over time, as prompted by your preferred coding style.
- Continuous updates to provide new capabilities and improvements.
Pros:
- It will help you improve your coding productivity or help reduce your time slipping into repetitive coding tasks.
- Will support many programming languages and easily fit into a developer’s workflow.
Cons:
- The quality and accuracy of code suggestions can vary, may introduce security and performance risks if developers do not review the suggestions offered.
- Has a potential risk of detrimental reliance on autocompletion to support critical thought.
Pricing: GitHub Copilot Pro:
- $10/month or $100/year
- Includes unlimited number of coding completions and access to improved AI models, along with a monthly quota of requests for premium content
GitHub Copilot Pro+:
$39/month or $390/year
- Includes premium features, as well as a greater monthly quota of requests for how often you can use the advanced models
- Gemini (Formerly Bard) from Google
Gemini is Google’s most up-to-date generative AI model and is another technology in Google’s multi-modal large language model (LLM) family. It is a step forward from Google’s previous generative AI models like LaMDA and PaLM 2 because it was designed to manage and understand various data inputs, such as text, images, audio, and video, essentially making it a true multi-modal AI technology.
Gemini was first released as Bard in early 2023 and was powered by LaMDA. Bard – a conversational AI service – was considered an experimental tool prior to its change of name in February 2024. The name changed to Gemini to identify itself with the generative AI model family, and is part of Google’s aim to develop powerful, safe, and responsible AI technology.
Key Features:
- Based on LaMDA, which is a transformer-based architecture that allows for dialogue and contextual reasoning
- Handles multiple modalities i.e. text input, images, audio, and video
- Can help code, debug, troubleshoot technical problems
- Integrated with Google services, and can be accessed with Google accounts
- Has a rating system to allow users to give feedback to improve for iterations
- Users can apply to access the service; it went live initially through a wait list, for select users in the US and UK
Pros:
- Designed with values around ethical and responsible AI.
- Tested extensively and iterated through controlled release.
- Able to be used in many contexts, including software coding, research, writing materials, and general information queries.
Cons:
- Does not have the chat history and memory features available in tools like ChatGPT.
- Access may be limited; many users cannot use Gemini through standard Google accounts without a subscription to a premium plan.
Pricing:
- The core Gemini experience looks to be free.
- Advanced capabilities are enabled by purchasing the Google One AI Premium Plan which includes access to Gemini Advanced, and augmented tools in Google Workspace apps.
- AlphaCode by DeepMind
AlphaCode is a new generative AI tool based on a transformer model that is built by DeepMind to generate code. AlphaCode is the largest and most complex code generation model with 41.4 billion parameters, which is much larger than many of the other code generation models, such as OpenAI’s Codex, and is focused on and performs well multiple programming languages, especially Python and C++. AlphaCode is a promising tool to provide capabilities for competitive coding and algorithm problem solving.
Key Features:
- Smart solution filtering: AlphaCode generates a vast diversity of code solutions it then uses intelligent filtering to identify the best or most efficient solutions.
- Language agnostic: Builds to work in multiple programming languages such as Python, C++, C#, Java, JavaScript, PHP, Go, Ruby, Scala, Lua, Rust, and TypeScript.
- Designed for coding competition: Built to solve problems from sites like Codeforces, where its capabilities were demonstrated on real-world algorithmic competition problems.
Pros:
- Able to produce code at scale and at much more complexity
- Able to utilize immense existing pretraining to provide logical reasoning and algorithm improvement
- Coding capability in a multitude of languages for developers
Cons:
- The quality of output can depend on adequate prompts and knowledge of the user
- Output may create incorrect or inefficient code that requires review by humans.
Pricing:
- Currently available for free
- DeepMind has made available both the dataset and the source code on GitHub for open research and development purposes
- Cohere Generate
Cohere is the business behind Cohere Generate, a relatively new company focused on applying advanced language AI to real-world applications for enterprises. The software was built to support marketing, sales, and communication efforts, allowing teams to create high quality, custom content for a multitude of use cases from email campaigns to product descriptions, landing pages, etc.
Key Features:
- Specialty in generating copy for marketing and sales collateral (emails, ads, blog posts, etc.)
- Can write clear product descriptions targeted for actionable engagement
- Licensing applies to public, private, and hybrid cloud environments
- Developers and learners can get free access under rate-limit for exploration and testing
- Designed to simplify multiple customer communication workflow and provide content personalization
Pros:
- Ease of use with an interface that is tuned to marketing and customer engagement applications
- Gives insights into user engagement behavior for targeting and performing personalization better
Cons:
- There can be performance issues like session timeout or delays
- Some users report minor bugs (issues with being responsive during engagements)
Pricing:
- Free Tier: A learning/prototyping tier under rate-limit
- Production Pricing:
- Default Model – $0.40 per 1 million tokens
- Custom Model – $0.80 million tokens
- Synthesia
Synthesia is a leader in generative A.I. video creation platform that is being used to create high quality and professional videos at scale with little effort. It is being used for corporate training, marketing, onboarding, explainer videos, etc. Synthesia takes text and turns written text into relevant and lifelike videos through its AI avatars. This eliminates the need for a camera, actors and multiple complex video editing tools.
Key Features:
- I.- powered video creation from text scripts
- Customizable content management tools, and text editors
- Personalized onboarding and user experience
- Enterprise-scale for large teams and organizations
- Secure access with Single Sign-On (SSO)
- SOC 2 and GDPR compliant for data privacy and security
- Easily integrates with existing corporate workflows for training, communication and e-learning
Pros:
- High quality AI avatars, with realistic facial expressions and vocal expressions
- Efficiently creating lifelike videos with no production crew or studio set up
- Saves time and resources for enterprises and educators
Cons:
- Limited customization in terms of acting gestures, and advanced editing
- Comparatively fewer dynamic expressions and gestures compared to video production
Pricing:
Personal Plan:
- ₹1,499.92/month or ₹17,999/year (India)
- $30/month (globally, priced monthly)
Enterprise Plan:
- Pricing is customized based on users and features needed
- EnGenius
EnGenius is an AI-powered content optimization tool meant to provide organic content visibility in generative AI spaces such as ChatGPT, Perplexity or others.
Key Features
- AI-assisted content and idea implementation
- Templates and resources for marketer’s use
Pros
- Ideal for improving content ranking in GenAI platforms
- Simple and easy to use
Cons
- Limited integrations
- Requires the internet
Pricing
- Free version
- Paid plans starting at $19/month
- Descript
Descript is a cloud-based all-in-one audio and video editing tool that allows users to create content with ease using a document-like interface. The San Francisco-based company Descript has created a platform that combines powerful editing functionality with AI technology to allow creators to work collaboratively, edit, and publish with ease.
Key Features
- AI-generated transcription and esthetically editable podcast transcripts
- Script writing and ability to collaborate on webinars and videos
- Screen recording with webcam capture built-in
- Publishing options with social media clip templates
- Overdub for corrective voice cloning
- Studio Sound for improved audio
- Automatic subtitles and captions
- Remove filler words and silences for better edits
Pros
- Allows automated video captions and transcribes
- Great free tier option for new account creation
- Productivity focused to podcasting, webinars, and marketing content creation.
Cons
- Lacks in-depth tutorial or records for beginners
- Limited options for track management of multiple takes for the same content.
Pricing
- Free: $0
- Creator Plan: $12/user/monthly billed annually at $144
- Pro Plan: $24/user/monthly billed annually at $288
- Enterprise Plan: Partnership pricing is customized based on the outcome’s needs.
- Claude by Anthropic
Claude is next-generation generative AI note-taking assistant created by Anthropic, an AI company that aims to develop AI systems that are helpful, honest, and harmless. Named after Claude Shannon, the father of information theory, Claude is a next-generation AI model designed to be safe, transparent, and reliable conversationally. Claude is designed for various tasks spanning natural conversations and pervasive programming language assistance, and it balances responsible AI and provides efficiency.
Core Capabilities:
- Efficiently processes and comprehends large amounts of text
- Provides natural, conversational responses across all interactions in near real-time
- Supports multiple spoken languages in addition to a variety of programming languages
- Helps with automating text-based workflow and assists complex problem-solving
- Recently released a mobile dictation function that allows users to record, send, and have voice messages transcribed and responded to (available on iOS, Android, and iPadOS)
Pros:
- Makes clear and straightforward responses
- Promotes ethical AI behavior with clear alignment to safety and fairness
- Encourages thoughtful, user feedback and keeps the user engaged
Cons:
- Possible difficulty with fact splitting in complex cases
- More of a learning curve for users not advanced prompt engineers
Pricing:
Claude Instant:
- Prompt tokens: $1.63 per million
- Completion tokens: $5.51 per million
Claude-v1 (more advanced model):
- Prompt tokens: $11.02 per million
- Completion tokens: $32.68 per million
In conclusion
Generative AI is no longer a concept of the future, it is presently an ongoing and broad introduction of innovation into every sphere. Whether it is improving productivity and creativity, engaging with customers, or generating new content, the top 10 generative AI tools reveal the extensive and profound possibilities of human ingenuity combined with artificial intelligence.
Clearly, developer, marketer, educator, business owner, or content creator, there is a tool to shorten your job processes, trigger your ideas, or assist you to reach larger scales. As the technologies progress, remaining aware and experimenting with the right tools will be critical to staying ahead of the curve within a rapidly evolving digital age.
By finding and applying the right generative AI tools for data analytics, you are not just observing the future, you are helping to build it.
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