14,931
Large Language Models
2024-06-17
GPT-4
39
1 By unverified author. Claim this AI
Scaling up deep learning with GPT-4.
Overview
Large Language Models#22 most recent
Most popular alternative: Bomml (189 saves)
View all 25 alternatives
Recommendations
Generated by ChatGPT
GPT-4 is the newest development in OpenAIs effort to scale up deep learning, following the previous GPT-3.5 version. GPT-4 stands out as a large multimodal model that takes image and text inputs and produces text outputs, with an emphasis on achieving human-level performance across numerous professional and academic benchmarks.
The model, is said to be more reliable, creative, and capable of handling more complex instructions than its predecessor, GPT-3.5, particularly when tasks reach a certain complexity.
Importantly, GPT-4 showcases text and image input competencies, allowing users to specify any vision or text-based tasks which it then processes to generate text outputs.
Moreover, image inputs play a large role in the system's capabilities, accommodating documents with text and photos, diagrams, or screenshots. Despite exhibiting similar competencies on text-only inputs, image inputs are not yet publicly available.
The text input capability of GPT-4 is being released through ChatGPT and its API. Enhancement of the image input feature is in progress for wider availability.
All these features of GPT-4 not only reflect its improved reliability and creativity over previous versions but also its broader application value in areas such as support, sales, content moderation, and programming.
How would you rate GPT-4?
Help other people by letting them know if this AI was useful.
Comments(1)
علی اکبر خانبابائی
Dec 31, 2023
چطور در متود زیر بعد از جواب دادن ajax مقداری را برگردانم از متود یعنی اینکه متود صبر کند تا مقداری از ajax برگردد سپس به راه خود ادامه دهد
تمام این ها در jquery است
function ajaxBehpardakht(rawPrice/*, tarefelist, etebar, data, totalTarefe*/) {
var myJSON1 = '{"ServiceCode" :"1","Amount":"' rawPrice '","PayerId":"","PcID":""}';
var multiaccount = localStorage.getItem('multiaccount');
/* if (multiaccount == "true") {
var BofeId = localStorage.getItem('BofeId');
var KhedmatId = localStorage.getItem('KhedmatId');
var myJSON1 = {
"ServiceCode": "1", "TotalAmount": rawPrice "", "RequestList": [
{ "AccountID": BofeId "", "Amount": etebar "", "PayerID": "0" },
{ "AccountID": KhedmatId "", "Amount": totalTarefe "", "PayerID": "0" },
], "PrintDetail": "1", "PcID": "1234"
}
}
*/
var myObj1 = JSON.parse(myJSON1);
$.ajax({
type: "POST",
contentType: "application/json",
//<!-- Access-Control-Allow:*, -->
url: "http://localhost:1024/bpmpospc/service",
data: myJSON1,
crossDomain: true,
success: function (obj) {
console.log(':: ' obj);
var x = (obj.ReturnCode);
console.log(":: Result.RespCode :" x);
pardakht2();
//var x ="00";
/* if (x == 100) {
pardakht2();
}
else {
ErrorModal();
}*/
}
, error: function (xhr, ajaxOptions, thrownError) {
ErrorModal();
}
}); //ajax
}
Post
Feature requests
Are you looking for a specific feature that's not present in GPT-4?
💡 Request a feature
GPT-4 was manually vetted by our editorial team and was first featured on March 14th 2023.
★★★★★
★★★★★
26
3
Turn ideas into software requirements, specifications, designs with Archie, AI Product Architect
★★★★★
★★★★★
256
★★★★★
★★★★★
23
13
25 alternatives to GPT-4 for Large Language Models
Pros and Cons
Pros
Accepts image and text inputs
Emits text outputs
Outperforms large language models
Improved reliability
Handles nuanced instructions
Outperforms state-of-the-art models
Available through ChatGPT and API
Stronger performance on professional benchmarks
Improved alignment strategy
Handles complex tasks better
Superior academic benchmark performance
Enhanced text and image input
Wide application in programming
Broad use in content moderation
Application in support and sales
Document processing with text and photos
Capable of processing diagrams
Handles screenshots effectively
Advanced performance on traditional ML benchmarks
High performance in multiple languages
Language support for low-resource languages
Steerable to match user's intent
Customizable experience for API users
Greater factuality control
Reduced tendency for hallucinations
Superb on TruthfulQA benchmark
Additional safety reward signals in training
Significantly improved safety properties
Reduced response to disallowed content
Predictable scaling of training
Functional with large data corpus
Can process self-contradictory statements
Works with a variety of ideologies and ideas
Fine-tuning through human-reviewed reinforcement learning
Advanced model-level intervention for improved behavior control
Cons
Image input not publicly available
Less capable than humans
May hallucinate facts
Makes reasoning errors
Still not fully reliable
Doesn't learn from experience
May produce security vulnerabilities
Buggy output code
Confidently wrong predictions
Data cut-off in 2021
Q&A
What is GPT-4?
GPT-4 is a deep learning model by OpenAI capable of taking image and text inputs and producing text outputs. This large multimodal model is designed to exhibit human-level performance on a variety of professional and academic benchmarks. It includes significant improvements over its predecessor, GPT-3.5, offering enhanced reliability, creativity, and complex instruction handling.
What key features have been added to GPT-4?
Key additions to GPT-4 include its ability to handle both image and text inputs. While its ability to process text inputs is accessible through ChatGPT and the API, the image input capability is still being prepared for wider availability. GPT-4 has also shown an improvement in handling complex instructions, displaying increased creativity and reliability.
What are some examples of the professional and academic benchmarks that GPT-4 has achieved?
While specific benchmarks aren't mentioned, GPT-4 has reportedly achieved human-level performance on various professional and academic benchmarks. This includes both those intended for humans, such as simulated exams, and traditional benchmarks designed for machine learning models. The model has significantly outperformed existing large language models and most state-of-the-art models.
What's new in GPT-4 compared to GPT-3.5?
GPT-4 has made several advancements over GPT-3.5. It excels in handling more complex and nuanced instructions. It has the added advantage of processing images, not just text, although this has not been rolled out for public use yet. It is designed to be more reliable and creative compared to GPT-3.5.
What are the text and image input capabilities of GPT-4?
GPT-4 can process both text and image inputs, allowing the user to specify any vision or language task. It can create text outputs given inputs of interspersed text and images, across a range of domains. The text input capability is available via ChatGPT and its API, while the image input capability is still being readied for wider release.
How has the text processing of GPT-4 improved from its predecessors?
While the specifics of the text processing improvements aren't mentioned, it is stated that GPT-4 is more reliable, creative, and able to handle much more nuanced instructions than its predecessor, noticeably improving when the complexity of the task increases.
What is the role of deep learning in the functioning of GPT-4?
GPT-4 is a deep learning model and thus, deep learning is integral to its operation. This approach allows the model to learn and generate coherent and contextually appropriate text in response to various inputs. GPT-4 is trained on an extensive data pool for this purpose.
What are some areas where GPT-4 outperforms existing large language models?
Though exact areas aren't detailed, it's mentioned that GPT-4 outperforms existing large language models and most state-of-the-art models on a variety of machine learning benchmarks. The model can also handle tasks in languages other than English, outperforming the English-language performance of comparable models, including those for low-resource languages.
When will the image input capability of GPT-4 be available?
While the image input capability of GPT-4 is fully functional, it is currently being fine-tuned for wider public use. The development timeline for this feature has not been explicitly given.
What level of reliability can we expect with GPT-4?
GPT-4 is designed to offer a higher level of reliability compared to its predecessors. Notably, it has been tested on a mix of professional and academic benchmarks and shown to exceed other large language models in these tests. Still, it is explicitly mentioned that GPT-4 is less capable than humans in many real-world scenarios.
What are the potential real-world applications of GPT-4?
GPT-4 has a wide range of potential applications. It can be extremely useful in areas like support, sales, and content moderation. Due to its improved ability to handle complex instructions, it can also have applications in programming. Additionally, its language model capabilities make it useful in tasks that require understanding and generating text.
Can GPT-4 handle complex instructions and contexts?
Yes, GPT-4 is explicitly mentioned to be capable of handling much more nuanced instructions than its predecessor, GPT-3.5. It can process instructions that are subtler and more complex, particularly when the complexity of the task reaches a certain threshold.
How does GPT-4 perform on traditional machine learning benchmarks?
GPT-4 has been evaluated on traditional benchmarks designed for machine learning models. It is mentioned to considerably outperform existing large language models and most leading-edge models in these tests, indicating strong performance.
How does OpenAI Evals work with GPT-4?
OpenAI Evals is a framework developed by OpenAI for automated evaluation of AI model performance. It enables anyone to report deficiencies in their models, helping guide further development. The specifics of how it integrates with GPT-4 aren't detailed, but its main role is to allow continuous evaluation and improvement of model performance.
What is the training process behind GPT-4?
GPT-4 utilizes a training process similar to its predecessors, predicting the next word in a document based on web-scale corpus of data. It also undergoes reinforcement learning with human feedback (RLHF) post-training to align its responses with user intent and adhere to guardrails. The training process has been made more reliable and predictable for GPT-4.
What limitations does GPT-4 have?
Despite its advanced capabilities, GPT-4 does have limitations. It is not wholly reliable, as it may produce inaccurate information or 'hallucinate' facts. It also can make reasoning errors. GPT-4 lacks an understanding of events occurring post data cut-off in September 2021 and does not learn from its own experience.
How does GPT-4 compare to humans in real-world scenarios?
GPT-4 exhibits human-level performance in a variety of professional and academic scenarios, including simulated exams. However, it's acknowledged that GPT-4 is often less capable than humans in many real-world situations. Despite these limitations, GPT-4 represents a considerable forward leap in the field of AI, particularly when compared to its predecessor, GPT-3.5
What does it mean that GPT-4 is a multimodal model?
Being a multimodal model means that GPT-4 can accept different forms of inputs, specifically, image and text inputs. It can take these inputs, process them, and generate coherent and contextually appropriate text outputs. This gives it the ability to handle a variety of tasks across different domains.
How does GPT-4 handle creativity and nuance?
GPT-4's ability to handle creativity and nuance is enhanced, primarily because it's trained on a vast range of data. This allows it to generate outputs that are not only contextually appropriate but also exhibit creativity. Specific areas where this quality shines aren't mentioned, but it's clear that the ability to handle nuanced instructions has significantly improved from the previous versions.
How does GPT-4's performance get evaluated?
GPT-4's performance is evaluated through a variety of benchmarks, including those originally designed for humans and traditional ones meant for machine learning models. OpenAI has also open-sourced OpenAI Evals, a framework that allows anyone to report any shortcomings in their models, offering a way to continuously improve the model's performance.
If you liked GPT-4
Home
Search
My saved AIs
Free signup
Just Launched
Featured
Popular
Requests
Tasks
Timeline
Job Impact Index
Forum
Newsletter
Submit / Advertise
Join the biggest AI community
Subscribe to our exclusive newsletter, coming out 3 times per week with the latest AI tools. Join over 470,000 readers.
Help
⌘ + D bookmark this site for future reference
⌘ + ↑/↓ go to top/bottom
⌘ + ←/→ sort chronologically/alphabetically
↑↓←→ navigation
Enter open selected entry in new tab
⇧ + Enter open selected entry in new tab
⇧ + ↑/↓ expand/collapse list
/ focus search
Esc remove focus from search
A-Z go to letter (when A-Z sorting is enabled)
+ submit an entry
? toggle help menu
Sign in to continue (100% free)
To prevent spam, some actions require being signed in. It's free and only takes a few seconds.
Sign in with Google
0 AIs selected
Clear selection
#
Name
Task