Over the last few years, there have been remarkable advancements in AI models. As each one is more sophisticated than the last, they are not just theoretical but they have practical applications that impact our daily lives. For example, OpenAI’s GPT-3 and GPT-4, a Large language model.
These AI models can help you with content creation, image generation, and code writing. Imagine you have an AI system that predicts protein structures with accuracy and expedites research in the field of biology. This is what DeepMind’s AlphaFold does. Another AI model is Google’s BERT, which provides Google with a better understanding of the context around your searches.
So, there are a lot of AI models that enhance our digital interactions and solve complex problems. In this article, we will explore the top AI models which have been released in recent years and garnered a lot of traction across the industry.
So let’s get started!
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List of Top 10 AI Models Released in Recent Years
The following table highlights the top AI models that have made headlines in the last few years and created significant impacts across various industries.
| S.No. | AI Models | Type | Developed by |
| 1 | Claude | Large Language Model | Anthropic |
| 2 | GPT-4 | Large Language Model | OpenAI |
| 3 | Stable Diffusion | Text-to-Image Model | Stability AI |
| 4 | Segment Anything | Image Segmentation | Meta |
| 5 | DALL·E 3 | Image Generation | OpenAI |
| 6 | SynthID | Watermarking | Google, DeepMind |
| 7 | Gemini | Large Language Model | |
| 8 | Midjourney | Text-to-Image Model | Midjourney |
| 9 | Llama | Large Language Model | Meta |
| 10 | Inflection-2 | Large Language Model | Inflection |
Claude
One of the top AI models that have made headlines in recent years is Claude. This is a large language model (LLM) developed by Anthropic. Claude can perform conversational and text-processing tasks and maintains a high degree of reliability and predictability. It helps users with use cases including search, creative and collaborative writing, summarization, Q&A, coding, and more.
GPT-4
Developed by OpenAI, GPT-4 is the latest LLM in GPT models. This AI model accepts image and text inputs and emits text outputs. Users need to put a prompt of text and images, which—parallel to the text-only setting— and then GPT-4 lets them specify any vision or language task.
Specifically, OpenAI’s GPT-4 creates text outputs (natural language, code, and others) based on the given inputs encompassing interspersed text and images.
Stable Diffusion V2
Stable Diffusion V2 is an upgraded version of Stability AI’s existing text-to-image model. This AI model has been trained using a text encoder, OpenCLIP, built by LAION with support from Stability AI. This significantly enhances the quality of the images generated by V2 compared to earlier V1 releases.
Segment Anything
Built by Meta, Segment Anything is an image segmentation AI model. It leverages a variety of input prompts to generate isolated objects in images using zero-shot generalization. The promptable design of the Segment Anything Model enables flexible integration with other systems. Users can find the code on GitHub.
DALL·E 3
Developed by OpenAI, DALL·E 3 is an advanced version of the existing text-to-vision model DALL-E. DALL·E 3 is built natively on ChatGPT allowing users to use ChatGPT as a brainstorming partner and refiner of their prompts. This AI model is available to all ChatGPT users and developers through OpenAI’s API.
SynthID
Another one of the AI models that has made headlines in recent years is SynthID. Developed by Google DeepMind, this AI model is used for watermarking AI-generated music and images. SynthID makes watermarking and identification of AI-generated content by using a variety of deep learning models and algorithms.
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Gemini
One of the most talked about AI models is Google’s Gemini. This is a large language model that can generate text and images, combined. Gemini Ultra, with a score of 90.0%, is the first model to outperform human experts on MMLU (massive multitask language understanding). It utilized a combination of 57 subjects like physics, math, history, medicine, law, and ethics for testing both world knowledge and problem-solving abilities.
Midjourney v6
Developed by Midjourney, Midjourney v6 is the latest version of the Midjourney AI text-to-image model. This AI model uses text descriptions as inputs and creates images. For example, if you provide text prompts like “a painting of a gnome fishing on Mars” Midjourney v6 will create original images based on that description.
Llama 3.1
Another recently developed AI model is Llama 3.1, an improved version of Meta’s Llama. This open-source AI model is available in 8B, 70B and 405B versions. Llama 3.1 is available on AWS, Databricks, Dell, NVIDIA, Grog, IBM, Google Cloud, Scale, and Snowflake.
Inflection-2
Known for its compute class, Inflection-2 is the second LLM from Inflection, founded by DeepMind’s Mustafa Suleyman. This AI model Inflection-2 was trained on 5,000 NVIDIA H100 GPUs in fp8 mixed precision for ~10²⁵ FLOPs. It will power Pi, an emotionally intelligent AI system.
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The Bottom Line
These top artificial intelligence models released in recent years have not only opened new avenues of what technology can achieve. But they have also accelerated a new age of innovation across diverse industries.
What could be the next wave of AI models? How will these models evolve to reshape the LLM arena? As you think of these questions, stay tuned to The Future Talk for more in-depth analyses and updates on the latest technology breakthroughs.