GPT-4 is a multimodal large language model created by OpenAI, the fourth in the GPT series. It was released on March 14, 2023, and will be available via API and for ChatGPT Plus users. Microsoft confirmed that versions of Bing using GPT had in fact been using GPT-4 before its official release.

GPT-4 exhibits human-level performance on various professional and academic benchmarks. It can accept both text and images as input, making it capable of generating text outputs based on inputs consisting of both text and images. It also performs well in languages other than English, including low-resource languages such as Latvian, Welsh, and Swahili.

OpenAI has made many changes to GPT-4 to make it safer than GPT-3.5 and has been working to mitigate risks. However, GPT-4 still has limitations such as hallucinating facts, making reasoning errors, and not knowing about events after September 2021.

Users who have tried GPT-4 have reported mixed experiences. Some praised its reliability, creativity, and steerability, while others criticized its errors, biases, and security issues. Many users also expressed ethical concerns about the potential misuse of GPT-4 for generating harmful or misleading content.

GPT-4 is a state-of-the-art multimodal AI model that can generate text, images, and even video based on text and image inputs. It is an improvement over GPT-3.5 in terms of reliability, creativity, steerability, and safety. It also supports 26 languages, including five Indian ones.

GPT-4 outperforms other AI models on various benchmarks, such as simulated exams designed for humans. It can also handle complex tasks such as generating code from sketches of websites. However, it still has some limitations such as hallucinating facts, making reasoning errors, and not knowing about events after September 2021

GPT-4 performs very well on human exams, such as simulated bar exams, SAT reading exams, and SAT math exams. It can score in the top 10% of test takers on these exams, while GPT-3.5 scored around the bottom 10%12. GPT-4 can also handle complex problems such as analyzing tax code and generating code from sketches.

However, GPT-4 is not perfect and may still make errors or fail at some exams. For example, it scored only 2 on the AP English Language and Composition exam. It also does not know about events after September 2021, which can affect its accuracy.

GPT-4 is a large multimodal model that can accept both text and image inputs, and generate text outputs. It is an improvement over GPT-3.5 in terms of reliability, creativity, steerability, and safety12. It also supports 26 languages, including five Indian ones.

GPT-4 is based on deep learning technology that uses artificial neural networks to write like a human. It has been trained on more data and has more weights in its model file than GPT-3.512. However, OpenAI has not released details about its size, how it was trained, nor what data went into the process.

Some of the new features of GPT-4 include:

• Passing a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%2.
  
• Performing well on various other exams, such as SAT reading exam (93rd percentile), SAT math exam (89th percentile), and AP English Language and Composition exam (14th to 44th percentile)2.
  
• Generating code from sketches of websites.
  
• Analyzing tax code and returning the standard deduction for a couple with specific financial circumstances.
  
• Generating images as well as text from the same chat interface.

GPT-4 has been designed with safety as a priority, according to OpenAI12. It has been aligned using lessons from adversarial testing and feedback from ChatGPT users12. It has also been trained to refuse to go outside of guardrails, such as generating harmful or misleading content.

Some of the methods that GPT-4 uses to ensure factuality and safety are:

• Checking facts against multiple sources before generating text.
  
• Using a confidence score to indicate how reliable its output is.
  
• Providing citations for factual statements when possible.
  
• Avoiding sensitive topics or personal information unless explicitly requested by the user.
  
• Asking for clarification or feedback when unsure about the user’s intent or preference.
  
• However, GPT-4 is not perfect and may still make errors or fail at some tasks. For example, it does not know about events after September 2021, which can affect its accuracy.

GPT-4 has a multimodal capability that enables it to process both text and image inputs, and generate text outputs based on them123. This means GPT-4 can analyze the contents of an image and connect that information with a written question or instruction.

Some of the tasks that GPT-4 can perform with its image processing capability are:

• Explaining a meme or a visual joke.
  
• Breaking down infographics or graphs step by step.
  
• Summarizing scientific graphs or explaining individual aspects of them.
  
• Translating and solving exam questions based on images.
  
• Identifying what is wrong or humorous in a given image.
  
• However, GPT-4 cannot generate images as output, unlike other models such as DALL-E, Midjourney, or Stable Diffusion.