Top 5 Generative AI Models to Watch Out For in 2024

Top 5 Generative AI Models to Watch Out For in 2024


  • Generative AI models are becoming increasingly prevalent and are used for various applications, with a growing market.
  • The global generative AI market is expected to reach $110.8 billion by 2030.
  • Generative AI models use neural networks to create new content based on existing data patterns.
  • They have transformative effects on industries like art, writing, and gaming.
  • PaLM 2, developed by Google, is one of the top generative AI models in 2024, known for its multilingual capabilities and advanced logic.
  • Imagen is another standout model, with remarkable photorealism and deep language understanding.
  • Parti is an autoregressive text-to-image model known for its scalability and real-world knowledge representation.
  • ChatGPT, developed by OpenAI, now offers real-time internet browsing, voice and image capabilities, and multilingual support.
  • Google Bard, powered by PaLM 2, introduces voice input, enhanced content summarization, and integration with Google services.
  • Generative AI models are not meant to replace humans but to enhance human productivity and are expected to create new jobs in the future.

Generative AI models are everywhere today. From ChatGPT to Dall-E, we hear about new gen AI models every now and then. 45% of the US population is already using generative AI. Its market is constantly growing. In fact, the global generative AI market is expected to reach $110.8 billion by 2030. As we stand on the verge of 2024, the market is filled with generative AI models, each with its own unique features and benefits. But what are the top generative AI models that we should certainly keep an eye on in 2024? 

Read till the end of this article to find the answers. In this article, we explore the 5 best generative AI models to watch out for in 2024, and what makes them some of the best. So, let’s dive in!

What are Generative AI Models?

Generative AI models are advanced computer algorithms. They create new data like text, images, or sounds. These models learn from existing data patterns. Then, they generate new content, similar to what they learned.

In simpler words, they understand existing information and use that knowledge to create something new. We can think of them as smart, creative assistants. They can make music, art, and even entire virtual worlds.

These models are a big deal in tech. They transform industries like art, writing, and gaming. They’re like digital artists, but they work with data. Companies use them to design products and improve business.

The magic behind them lies in neural networks. These networks mimic human brains, learning and creating. Generative AI uses different learning methods. Some learn without supervision, making them flexible for various tasks.

GPT-4, for example, can write essays based on short requests. Meanwhile, Stable Diffusion crafts realistic images from text. These models make the impossible possible, all thanks to the power of AI.

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Top 5 Generative AI Models to Watch Out For in 2024

PaLM 2

The first in our list of top generative AI models of 2024 is PaLM 2. If you have read our article on What is Google Bard? Then you must already know what a crucial PaLM 2 plays in the success of Bard. So what is PaLM 2 and why is it one of the most anticipated AI generative models? Let’s find out!

PaLM 2, the brainchild of Google, is a giant leap in the field of AI. It’s the sequel to the renowned PaLM. But it’s not just an incremental upgrade – it’s a revolutionary stride forward. PaLM 2 is trained on a dataset of 6144 TPU v4 chips. It is the largest dataset ever used to train a language model. It showcases its abilities among generative language models.

Drawing strength from extensive pre-training data and Google’s Responsible AI Practices, PaLM 2 is all about taking logic and reasoning to a new level. With a multilingual reach that spans over 100 languages, it’s ready to make a global impact in the realm of AI art models. Now let’s have a look at the top features that make PaLM 2 one of the best generative AI models.

Features to Watch Out For

Multilingual Virtuosity

PaLM 2 doesn’t merely speak multiple languages. It also understands their intricacies. It simplifies complex idioms like “Ich verstehe nur Bahnhof.” It further transforms them into relatable expressions, showcasing its versatility.

Advanced Logic and Reasoning

Forget the cliché chatbots; PaLM 2 is a cognitive powerhouse. It’s been trained to tackle complicated tasks like coding and complex reasoning. And guess what? It excels in each domain. This makes it one of the leading generative AI GPT models in the market.

Toxicity Control

In an age of online interactions, toxicity is a burning issue. PaLM 2 comes with a built-in control mechanism to prevent the generation of harmful content. This makes it a safer choice for various applications in AI generative models.


The PaLM 2 family includes a compact version known as “Gecko.” This mobile-friendly AI model operates at a brisk pace. It can process 20 tokens per second – that’s about 16 or 17 words. It’s like having a pocket-sized genie in your smartphone.

Benefits to Keep an Eye On

State-of-the-Art Performance

PaLM 2 isn’t just making claims; it’s delivering top-notch performance on benchmark tasks. It has excelled in challenges like WinoGrande and BigBench-Hard. This proves its strength among generative AI models.

Improved Translation

PaLM 2 leaves its predecessors and even Google Translate in the dust when it comes to languages like Portuguese and Chinese. You can expect smoother and more accurate translations with it. This is a game-changer for businesses and global communication/ It further proves its excellence in generative model AI for linguistic tasks.

Safety and Responsibility

Google’s commitment to responsible AI development shines through with PaLM 2. They’ve meticulously filtered duplicate documents, reducing the risk of AI “memorization.” Moreover, they’ve shared insights on how people are represented in the pre-training data. This ensures  transparency in the realm of generative artificial intelligence models.

Measuring Harm and Bias

Google has always taken potential harm and bias seriously. PaLM 2 undergoes rigorous evaluations across various applications. Google ensures it maintains a high ethical standard. From generative question-answering to dialogue settings, PaLM 2 passes through all of it.

Also Read- How Can Developers Use Google Bard?


In the dynamic landscape of the best generative AI models, Imagen has emerged as a standout contender for 2024. This model is not just another addition to the ever-growing list. It is a significant advancement that both beginners and professionals should keep a keen eye on. Imagen is an advanced text-to-image diffusion model developed by Google. It stands out in the realm of AI art models due to its unprecedented photorealism and a deep understanding of language. Now let’s have a look at its features and benefits that make it one of the top generative artificial intelligence models to watch out for.

Features to Watch Out For

Unprecedented Photorealism 

Imagen boasts an unparalleled degree of photorealism. It can craft images that are indistinguishable from reality. With an impressive FID score of 7.27 on the COCO dataset, it’s setting a new standard for image synthesis. Imagen’s ability to produce images of such quality without training on the COCO dataset itself is a testament to its photorealistic prowess. 

Deep Language Understanding 

Imagen doesn’t merely process text; it deeply understands it. It leverages the power of large transformer language models, similar to T5. However, there’s a catch. It takes text-to-image generation to a whole new level. The profound understanding of language is a cornerstone of its ability to bring text descriptions to life through images. This makes it a notable player in generative ai models.

Large Pretrained Language Model 

One of Imagen’s distinctive features is its reliance on large pretrained language models. These text encoders are remarkably effective for the text-to-image task. The size of the image diffusion model does not matter alone. It’s the size of the language model that matters more. Imagen is trained on a dataset of over 600 million images and captions. This proves that Imagen excels at the intersection of AI generative models.

DrawBench Benchmark Dominance 

To assess text-to-image models comprehensively, Imagen introduces DrawBench. It is a challenging benchmark that pushes the boundaries. In head-to-head comparisons with other recent methods, including VQ-GAN+CLIP, Latent Diffusion Models, and DALL-E 2, Imagen stands out. Human raters consistently prefer Imagen, not only for its sample quality but also for its impeccable image-text alignment. This solidifies its place among top generative AI models.

Benefits to Keep an Eye On 

State-of-the-Art Image Fidelity

Imagen’s impressive FID score of 7.27 on the COCO dataset demonstrates its top-tier performance. Compared to other models like DALL-E 2 with a score of 10.39, Imagen stands out as a model that excels in generating high-quality images. It comes very close to human-level image-text alignment. Thus undoubtedly it is one of the best AI art models.

Efficient Language Processing

Imagen’s efficiency is evident in its ability to converge faster, thanks to its efficient use of large pretrained language models. This efficiency allows professionals to speed up their work and enhance their productivity.

Responsible Model Development

Imagen’s commitment to responsible AI development is clear. It refrains from releasing code or demos without proper safeguards in place. It also addresses the potential risks of misuse. This approach aligns with ethical considerations and responsible open-sourcing, making it a safe choice among gen AI models.

Diverse Applications

Imagen’s deep understanding of language and image generation opens the door to a wide range of applications. It’s positioned to fuel innovation across various industries, from art and entertainment to content creation and more. 

Also Read- 5 Must-Have AI Skills In 2024


Parti is another cutting-edge generative AI model set to make waves in 2024. It is an autoregressive text-to-image generation model developed by Google. It’s designed to transform textual descriptions into highly realistic images. This makes one of the most noteworthy generative AI models.

What sets Parti apart is its ability to create complex compositions guided by global knowledge. It is one of the most powerful tools in the world of AI-generated images.. Now, let’s explore features and compelling benefits that make it one of the best generative artificial intelligence models.

Features to Watch Out For

Autoregressive Powerhouse 

Parti’s first standout feature is its autoregressive architecture. This means it generates images one pixel at a time. It builds on the context of the previous pixels. The result? Incredibly realistic and detailed images, a hallmark in this area.

Transformer-Based Models 

At the heart of Parti’s capabilities are its encoder and decoder. Both are based on transformer models. These neural networks excel in natural language processing tasks. This makes text-to-image generation seamless. This feature positions Parti as a top player in the world of generative AI models.

Scaling to New Heights

Parti’s scalability is truly remarkable. It can crunch an impressive 20 billion parameters to create photorealistic images. This feature makes it a heavyweight in the world of gen AI models. If you’re after abstract or highly detailed prompts, Parti will amaze you.

Composing Real-World Knowledge 

Creating scenes that have never been seen is where Parti excels. It accurately reflects world knowledge, and composes intricate scenarios with fine-grained details. What more? It even sticks to specific formats and styles.

Benefits to Keep an Eye On 

Supercharged 3D Printing 

Parti’s potential for 3D printing is exciting. It can generate 3D models that can be used for printing custom parts, prototypes, or even toys. With its billions of parameters, it offers consistent quality improvements and an impressive zero-shot FID score of 7.23 on MS-COCO. This showcases its strength in generative AI 3D printing.

Immersive Virtual Reality 

Parti is a treat to virtual reality enthusiasts. It can craft realistic 3D scenes that are perfect for gaming, training, or tourism. Its effectiveness across a wide variety of categories and difficulty aspects in analysis on Localized Narratives and PartiPrompts makes it a top choice. It has the potential to revolutionize AI generative 3D for VR.

Film and Animation Made Easy 

Parti’s knack for creating lifelike 3D scenes is a game-changer for the film and animation industry. It not only saves time and money but also allows filmmakers to craft more realistic and immersive experiences. It excels at prompts that are abstract and require world knowledge, specific perspectives, or intricate details. This benefit makes it an indispensable tool in the world of generative AI models for film and animation.

Enhanced E-Commerce 

For e-commerce businesses, Parti is a boon. It can generate realistic product images that boost sales and enhance customer satisfaction. Backed by the fact that it’s capable of producing highly realistic images derived from text, Parti becomes an invaluable tool for creating visually appealing product listings. The results will captivate your customers, and increase your sales. This establishes Parti as one of the top choices in the domain of AI generative models for e-commerce.

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We all know about ChatGPT. It is an advanced AI chatbot developed by OpenAI, backed by Microsoft. Its immense popularity has proven one thing: It’s not just a chatbot. It is a language model that uses natural language processing to create human-like conversational dialogue. With ChatGPT, you can have interactive conversations, ask questions, and receive well-informed responses. It has become a valuable tool for everyone, with a wide range of applications in the domain of AI generative models.

Now, let’s explore ChatGPT’s  key features and the corresponding benefits that will keep its hype up even in 2024.

Features to Watch Out For

Real-time Internet Browsing 

ChatGPT’s real-time internet browsing capability is a game-changer. Previously, ChatGPT was limited to the knowledge it had up until September 2021. Now, it can access and pull in information from the internet in real time. It offers the latest information to users, a feature highly sought after in the world.

Voice and Image Capabilities 

ChatGPT is not just about text anymore. It’s breaking the barriers of communication by adding voice and image capabilities. For Plus users on iOS and Android, ChatGPT introduces voice conversations. It allows for AI art models to have back-and-forth dialogues with users using their voice. Whether you need a bedtime story or want to settle a debate at the dinner table, ChatGPT is there to converse with you.

Furthermore, ChatGPT can now handle image input. If you’ve ever needed help troubleshooting an issue, analyzing data, or interpreting a complex graph, ChatGPT is your go-to AI. It can process images and allows you to communicate in a visual language. This feature makes it even more versatile and user-friendly for those seeking image-to-image diffusion in their interactions.

Multilingual Support 

ChatGPT’s language repertoire is expanding. It now supports a limited selection of languages in the interface, including Chinese, French, German, Italian, Japanese, Portuguese, Russian, and Spanish. This means users who prefer to communicate in these languages can do so with ease. This makes ChatGPT more accessible and effective for generative AI GPT models.

Enterprise-Grade Capabilities 

Today, ChatGPT means business. ChatGPT Enterprise is here to provide advanced solutions to organizations. This enterprise version offers security that meets the highest standards. It opens the doors to unlimited GPT-4 access, which is the latest and most advanced iteration. With longer context windows, you can process more extensive inputs. This feature makes it a powerful tool for business applications. Data analysis capabilities and customization options allow businesses to tailor ChatGPT to their specific needs, making it a versatile tool for professional use.

Benefits to Keep an Eye On 

Seamless Content Creation

We already know that ChatGPT can assist in generating content. It is a valuable tool for writers, marketers, and content creators. Users can quickly draft articles, blog posts, or other written materials with this gen AI model’s assistance, saving time and effort.

24/7 Availability and Accessibility

ChatGPT and its Plus version are available around the clock. It provides instant responses and information at any time. Users can access its services whenever needed, ensuring constant availability for questions and support.

Tailored Learning and Education

ChatGPT can be used as a personalized learning companion for students and professionals. It can explain complex topics, provide explanations, and offer assistance with homework or research. And with real-time data analysis it is set to enhance your learning experience.

Reduced Language Barriers in Customer Service

We already discussed how businesses can use ChatGPT to provide multilingual customer support. This reduces language barriers and allows companies to offer assistance to a broader customer base. This benefit will enhance customer satisfaction.

Also Read- Why AI Is Important For The Metaverse

Google Bard

Last but not the least on our list of top generative AI models is, Google Bard. Bard is an advanced AI model developed by Google, powered by the PaLM 2 model. So what makes it one of the top contenders among best generative AI models? It is designed to provide users with a more intuitive and engaging interaction experience. Google Bard utilizes cutting-edge techniques to enhance productivity, personalization, and collaboration across a wide range of tasks and scenarios.

Now, let’s have a look at the standout features and benefits of Google Bard.

Features to Watch Out For

Voice Input Revolutionizes Communication

Google Bard has introduced voice input. It allows users to simply press the microphone icon and speak their message. Available in over 40 languages, this feature saves time and effort, making tasks like composing emails, drafting messages, or coding efficient and hands-free. This natural form of interaction sets Google Bard apart in the world of generative AI models. It provides users with a seamless and innovative way to engage with the technology.

Numerous Drafts for Tailored Responses

Efficiency shines with Google Bard’s ‘View Other Drafts’ option. It offers a personalized touch to responses. When composing messages, users can access multiple drafts, ensuring customized and context-appropriate replies. With a wide range of distinct drafts, users can choose the most suitable response. This feature enhances communication effectiveness and user satisfaction.

Seamless Integration with Google Services

Collaboration becomes seamless with Google Bard’s integration with Gmail and Google Docs. You can effortlessly share Bard’s responses through these platforms. What more? It enables collaboration across 180+ countries. This integration simplifies teamwork, fostering efficient information sharing and project coordination. Google Bard’s adaptability to various Google services establishes it as a versatile and user-friendly choice in generative AI models.

Coding in Over Twenty Languages

For developers, Google Bard is a coding companion in more than 20 languages. This proves its capabilities as a leading generative model AI. Wondering how? Read our article on How developers can use Google Bard to learn more. From debugging to creating websites, Bard simplifies the coding process. This feature underscores Google Bard’s commitment to empowering developers worldwide. It further solidifies Bard’s position in the landscape of best generative AI models.

Benefits to Keep an Eye On 

Enhanced Content Summarization

While voice input simplifies communication, Bard’s unique benefit lies in content summarization in different languages. Google Bard can generate concise summaries of lengthy articles. It saves valuable time for users seeking quick understanding of complex topics.

Data Analysis and Export to Google Sheets

In addition to coding support, Google Bard excels in data analysis. Users can now export Bard-generated tables directly into Google Sheets. This benefit makes data exploration and analysis more convenient and efficient.

Enhanced Accuracy with Double-Check Responses

As one of the top generative AI models, Bard allows you to double-check responses. With the “Google it” button, users can validate Bard’s answers against information from the web. This ensures the most accurate information is at your fingertips.

Enhanced Data Visualization

Google Bard also excels in data visualization. You can create visually engaging charts and graphs to represent data. Bard makes it easier to convey complex information and insights to others. This benefit promotes better data-driven decision-making and communication.


So this was our list of top 5 generative AI models to watch out for in 2024. The generative artificial intelligence world is constantly evolving. So, it is very much possible to see more and better gen AI models to get in the race to be the best. Generative AI generated content is constantly improving to become more and more realistic. From Spotify to Netflix, AI is in each house in some way or other. While the popularity of AI, including generative AI, brings the question: Will humans be replaced? 

The answer is, no. Generative AI models are created by humans to make the work of humans better and easier in every possible way. In fact, AI is expected to create 133 million new jobs by 2030. Now, to shine in this field, an artificial intelligence certification by the Blockchain Council is a must-have. Check out our wide range of certifications in artificial intelligence including the Certified Generative AI Expert™ and get ready to lead the AI revolution. 


What are generative models examples?

  • Generative AI models examples include PaLM 2, Imagen, Parti, ChatGPT, and Google Bard.

What is a real-life example of generative AI?

  • A real-life example of generative AI is Google Bard.
  • It enhances productivity, personalization, and collaboration across various tasks and scenarios by using advanced AI techniques for more intuitive and engaging interactions.

What is the use of generative models?

  • Generative models are used to create new data such as text, images, or sounds based on existing data patterns. 
  • They find applications in various fields, including art, writing, gaming, data generation, product design, and more.

What is a generative model?

  • A generative model is an advanced computer algorithm that learns from existing data patterns and generates new content, similar to what it has learned. 
  • It can create text, images, or sounds, making it a creative assistant that finds use in a wide range of industries.

What is a generative model in NLP?

  • In the context of NLP (Natural Language Processing), a generative model refers to models like ChatGPT.
  • It uses natural language understanding to create human-like conversational dialogue. 
  • These models enable interactive conversations, questions, and responses.

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