10 High-IQ Things GPT-4 Can Do That GPT-3.5 Can’t

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OpenAI’s GPT-4 has taken the world by storm, showing significant advancements over its predecessor, GPT-3.5. As a cutting-edge language model, it boasts an array of new capabilities and improvements, ranging from enhanced understanding of complex prompts to the ability to process visual inputs.

One notable achievement of GPT-4 is its ability to score high on simulated law school bar exams, landing in the top 10% of test-takers, which is a significant improvement over GPT-3.5’s performance in the bottom 10% (CNN).

In this article, we will explore 10 remarkable things that GPT-4 can accomplish, setting it apart from its previous version, GPT-3.5, and further opening up new possibilities for utilizing artificial intelligence in various domains.

# IQ 100: Increased Language Understanding

One of the key differences between GPT-4 and GPT-3.5 is its enhanced language understanding abilities. Thanks to its more advanced architecture, GPT-4 can tackle various language-related tasks with higher accuracy and precision.

In this section, we’ll explore how this improved language understanding comes to life in context awareness, grammar and syntax improvements. ๐Ÿง 

Context Awareness

With a longer memory capacity, GPT-4 is better at understanding and maintaining context throughout conversations. This helps the model generate more coherent responses when given a conversation history or a topic to discuss.

As opposed to GPT-3.5’s limit of around 8,000 words, GPT-4 can handle up to 25,000 words, making it a more efficient conversationalist in situations where context spans multiple interactions or longer texts. PCMag highlights this major improvement in memory capacity.

Grammar and Syntax Improvements

GPT-4 has an improved grasp of grammar and syntax, enabling it to produce more accurate, well-structured sentences. This contributes to a better overall user experience, as conversations with GPT-4 are less likely to encounter issues with incorrect tense usage or unclear sentence structure.

To showcase the difference, GPT-4 was found to resist selecting common sayings when interpreting tasks as mentioned at openai.com, showing an improvement in understanding the nuances of language over its predecessor.


These remarkable improvements in context awareness and grammar and syntax understanding equip GPT-4 to excel in a wide array of language-related tasks. Whether providing detailed answers to questions, assisting in content creation, or just engaging in a casual conversation, GPT-4 promises to deliver a more coherent and valuable user experience. ๐Ÿ’ก

# IQ 200: Advanced Conversation Capabilities

Maintaining Long Conversations

One significant improvement of GPT-4 over its predecessor, GPT-3.5, is its ability to maintain longer, more meaningful conversations. This impressive AI can track context and subjects throughout extensive discussions, addressing the previous shortcomings related to context loss in GPT-3.5. ๐Ÿ’ฌ

As a result, GPT-4 delivers a more engaging and human-like interaction experience, which can be highly beneficial in applications requiring virtual assistants, customer support, and tutoring.๐Ÿค–+

Adjusting Tone of Voice

GPT-4 also excels in adjusting its tone of voice according to the user’s preference or the conversation’s context. Users can experience interactions tailored to their needs by specifying the desired tone โ€“ from confident and knowledgeable to neutral, clear, or even empathetic.๐ŸŽญ

This advanced capability allows GPT-4 to be a versatile tool suitable for diverse settings and user requirements, enhancing communication and creating more personalized interactions. ๐ŸŒŸ

# IQ 300: Enhanced Customization

One of the remarkable improvements in GPT-4 over its predecessor, GPT-3.5, is the ability to offer enhanced customization features. This enables developers and users to better tailor the model’s performance to their specific needs.

๐Ÿ‘ฉโ€๐Ÿ’ป Tip: Best 35 Helpful ChatGPT Prompts for Coders (2023)

Let’s explore two key aspects of this enhanced customization: domain-specific training and fine-tuning options.๐Ÿ˜ƒ

Domain-specific Training

While GPT-3.5 can handle various tasks quite well, GPT-4 takes it a step further by offering domain-specific training. This means that GPT-4 can be trained to specialize in specific knowledge domains, making it much more effective in handling tasks that require in-depth understanding and expertise. For instance, GPT-4’s performance on a simulated law school bar exam was remarkable, scoring in the top 10% of test-takers, as opposed to GPT-3.5, which scored in the bottom 10%.

๐Ÿ‘‰ Source: Research Paper OpenAI

Fine-tuning Options

Another significant feature added to GPT-4 is the ability to fine-tune the model based on user requirements. This fine-tuning allows its users to have more control over the model’s output and optimize it for specific tasks. For example, adjusting the temperature parameter can produce more focused or creative responses, depending on the desired outcome. Moreover, the fine-tuning options enable GPT-4 to be more accurate and better understand complex and nuanced requests compared to GPT-3.5, as noted by Mashable.

In summary, GPT-4’s enhanced customization features mark a significant step forward in adapting this powerful language model to suit user requirements and different types of specialized tasks. It ultimately sets the stage for more refined and sophisticated AI applications.๐Ÿš€

# IQ 400: Improved Data Efficiency

One significant leap forward that GPT-4 offers over GPT-3.5 is its improved data efficiency. This enhancement translates into faster training and lower resource usage, enabling users to produce more accurate results with less time and computational power.

This section will explore two key aspects of this improvement: increased training speed and lower resource usage. Let’s dive in! ๐Ÿ˜Š

Increased Training Speed

Compared to GPT-3.5, GPT-4 boasts an increased training speed which allows it to process large volumes of data at a much faster rate. This improvement is a game-changer for developers and researchers, as it enables GPT-4 to learn new tasks and adapt to user input more quickly than its predecessor.

Also, due to the speedier training, GPT-4 has the potential to perform better in real-time applications, making it an even more versatile tool for various industries and use cases.

Lower Resource Usage

Another crucial aspect of GPT-4’s data efficiency is its ability to use fewer resources during the training and inference phases. This translates into lower costs for users, as less computational power is required to generate the desired outputs. Lower resource usage not only makes GPT-4 more accessible to a wider range of users but also contributes to a more sustainable and environmentally friendly AI ecosystem. ๐ŸŒฟ

# IQ 500: Creative Text Generation

With GPT-4’s updated capabilities, the AI system takes creative text generation to a whole new level. Its impressive performance is showcased in advanced storytelling, poetry, and songwriting. ๐Ÿ‘ฉโ€๐Ÿ’ป

Advanced Storytelling

GPT-4 can weave intricate and compelling narratives, offering more engaging and coherent plots than GPT-3.5. With its improved ability to understand the context and generate relevant content, readers can now enjoy immersive stories generated by the AI. ๐Ÿ“š

๐Ÿ‘ฉโ€๐Ÿ’ป Recommended: How I Created a Sci-Fi Story Book Using ChatGPT and Midjourney

Poetry

GPT-4’s enhanced language generation skills make it a powerful tool for creating meaningful and expressive poetry. This latest model can portray emotions and thoughts more accurately, allowing it to generate poetry that resonates with the human soul.๐Ÿ–‹๏ธโ˜๏ธ

Songwriting

When it comes to songwriting, GPT-4 shows remarkable growth in generating catchy and creative lyrics. Its ability to understand context and make connections between words improved, resulting in more harmonious and memorable tunes for artists and music lovers alike. ๐ŸŽถ๐Ÿ’ก

# IQ 600: Real-time Applications

With GPT-4’s enhanced capabilities, it has become an excellent tool for real-time applications. Innovative improvements in this version open up possibilities previously unattainable, with a few standout applications being simultaneous translation and speech recognition. ๐Ÿ˜ฎ

Simultaneous Translation

GPT-4 now offers seamless, real-time translation of text from one language to another, breaking barriers in communication. ๐Ÿ’ฌ With its more accurate semantic understanding, it shows remarkable improvement over GPT-3.5 in deciphering complex phrases and maintaining the original meaning in translation.

For example, consider the following translated sentence:

Input (English)Output (French)
“The quick brown fox jumps over the lazy dog.”“Le rapide renard brun saute par-dessus le chien paresseux.”

This real-time translation feature has the potential to revolutionize global communication, facilitating multilingual interactions in a wide range of industries. ๐ŸŒ

Speech Recognition

Another breakthrough for GPT-4 is its ability to recognize and transcribe speech with high accuracy, even in noisy environments. ๐ŸŽ™๏ธ This leap forward makes the technology increasingly useful for:

  • ๐Ÿ’ผ Business meetings and conference calls
  • ๐Ÿ“š Automatic transcription of lectures and presentations
  • ๐Ÿฅ Medical dictation and documentation

With continued improvements in GPT-4’s real-time applications, we can expect to see a vast expansion of opportunities to streamline communication, enhance accessibility, and foster global connections. ๐Ÿš€

๐Ÿ’ก Related Content: OpenAIโ€™s Speech-to-Text API: A Comprehensive Guide

# IQ 700: Better Code Generation

One of the significant improvements GPT-4 has made over GPT-3.5 is its ability to generate better code. This improvement is seen in two crucial aspects:

Syntax Error Reduction

GPT-4 has become more adept at reducing syntax errors while generating program code. This achievement makes the code generated by GPT-4 more usable and less time-consuming for developers to implement. The reduced number of syntax errors also enables the AI to provide better programming solutions and examples for users. ๐Ÿ› ๏ธ

Higher-level Programming Languages

The new model is capable of working with higher-level programming languages, giving developers the opportunity to leverage its capabilities in various programming environments. GPT-4’s improved understanding of these languages makes it easier for users to implement powerful features in their code, achieving better results with less effort. ๐Ÿš€

In conclusion, GPT-4’s better code generation abilities make it a valuable tool for developers and programmers who want to improve their workflow and productivity. By reducing syntax errors and providing support for higher-level programming languages, GPT-4 has taken a significant leap over GPT-3.5. ๐ŸŒŸ

# IQ 800: Multimodal Integration

One of the key advancements in GPT-4 over GPT-3.5 is its ability to integrate multiple modalities, making it more versatile and powerful in working with images and text in tandem.

In this section, we’ll look at two subtasks GPT-4 excels at: Text to Image Synthesis and Image Captioning.

Text-to-Image Synthesis

๐ŸŽจ GPT-4 is capable of transforming textual descriptions into images with remarkable accuracy. This incredible feature opens up endless creative possibilities, such as generating artwork, designing user interfaces, and even creating custom emojis based on descriptive input. For example, GPT-4 can create a digital painting of a “sunset on a beach with palm trees” just by processing the text description. This capability far surpasses the text-to-text limitations of GPT-3.5.

Image Captioning

๐Ÿ“ธ On the flip side, GPT-4 can also generate accurate and contextually relevant captions for images, making it an exceptional tool for content creators, social media managers, and even accessibility advocates. GPT-4’s ability to analyze and understand visual content allows it to describe an image in a concise and meaningful manner, something that GPT-3.5 couldn’t achieve.

For example, imagine uploading an image of a dog playing in the snow. GPT-4 can generate a fitting caption like “A playful dog enjoying the snow” that captures the essence of the scene.

# IQ 900: Reduced Bias and Controversial Outputs

As we explore the fascinating world of GPT-4, we find that it has taken important steps toward addressing ethical concerns raised with its predecessor, GPT-3.5. In particular, the newer model significantly improves mitigating biases and produces less controversial outputs.๐Ÿ˜‡

Let’s dive a bit deeper into these changes.

Ethical Guidelines

OpenAI has made crucial efforts in incorporating ethical guidelines into GPT-4’s development. By learning from previous criticisms, they have refined the natural language generation process to ensure that GPT-4 is more responsible, accurate, and less likely to perpetuate harmful stereotypes or offensive messages.๐Ÿ“š These strides showcase the developers’ dedication to addressing ethical concerns at the forefront of AI development.

Content Filtering

Another significant improvement in GPT-4 is its content filtering capabilities. ๐Ÿ’ก The AI model is now better equipped to handle potentially biased, harmful, or offensive materials. This means that GPT-4 can provide a safer and more enjoyable user experience across various applications, from storytelling to code generation.

# IQ 1000: Reduce Hallucinations

๐Ÿ‘ป Definition: Hallucinations in the AI context refer to AI-generated experiences, like text or images, that do not correspond to real-world input, leading to potentially false perceptions and misleading results for users.

According to a recent article on Mashable, GPT-4 shows improvement over GPT-3.5 regarding hallucinations. When asked a point-blank factual question, GPT-4 can provide more accurate and relevant responses compared to GPT-3. This is a significant improvement as it reduces the likelihood of GPT-4 generating irrelevant or nonsensical responses.

This improvement results from GPT-4’s enhanced language processing capabilities and ability to better understand context and meaning.

While GPT-4 is not perfect, it is clear that OpenAI has made significant strides in improving the accuracy and relevance of its language models, making them more useful for a variety of applications.

๐Ÿ‘‰ Recommended: Hallucinations in AI โ€“ with ChatGPT Examples