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Scaling up deep learning with GPT-4.
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.


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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 }

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GPT-4 was manually vetted by our editorial team and was first featured on March 14th 2023.
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25 alternatives to GPT-4 for Large Language Models

Pros and Cons


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


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


What is GPT-4?
What key features have been added to GPT-4?
What are some examples of the professional and academic benchmarks that GPT-4 has achieved?
What's new in GPT-4 compared to GPT-3.5?
What are the text and image input capabilities of GPT-4?
How has the text processing of GPT-4 improved from its predecessors?
What is the role of deep learning in the functioning of GPT-4?
What are some areas where GPT-4 outperforms existing large language models?
When will the image input capability of GPT-4 be available?
What level of reliability can we expect with GPT-4?
What are the potential real-world applications of GPT-4?
Can GPT-4 handle complex instructions and contexts?
How does GPT-4 perform on traditional machine learning benchmarks?
How does OpenAI Evals work with GPT-4?
What is the training process behind GPT-4?
What limitations does GPT-4 have?
How does GPT-4 compare to humans in real-world scenarios?
What does it mean that GPT-4 is a multimodal model?
How does GPT-4 handle creativity and nuance?
How does GPT-4's performance get evaluated?

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