What is GPT-4?

What is open AI GPT-4 ?

OpenAI GPT-4 is a large language model that is multimodal, meaning it can respond to both text and images. ChatGPT is an impressive tool that has gained popularity and will soon be receiving a significant upgrade through the launch of GPT-4. Most people currently use the free preview of ChatGPT, which runs on OpenAI's GPT-3.5 model. Despite some notable flaws, the chatbot's popularity has continued to soar, making it a tough act to follow. OpenAI has announced the release of GPT-4 on its website.

Generative Pre-trained Transformer (GPT) is a neural network that utilizes machine learning to comprehend data and create responses. It's the underlying language model behind the widely used chatbot, ChatGPT. The latest version of this model is GPT-4, which represents an improvement over the GPT-3.5 model that drives the free version of ChatGPT.

What are Key Features of GPT-4? GPT-3 is equipped with over 175 billion parameters, enabling it to quickly generate responses to prompts. GPT-4 is expected to improve upon this with an increased number of parameters, providing even more accurate and focused responses. According to OpenAI, GPT-4 is capable of handling up to 25,000 words of text input and output, which is over eight times the 3,000 words supported by ChatGPT with GPT-3.5.

Another key improvement with GPT-4 is its multimodal functionality, which allows it to process both text and image inputs (though responses are still in text only). Microsoft has confirmed that it has already used GPT-4 in Bing with ChatGPT, and the increased functionality will help to deliver even more accurate results in multiple formats.

Microsoft is also pursuing the development of a multimodal AI, including the Visual ChatGPT tool, which lets users upload, edit, and generate images within ChatGPT. This move is partly in response to the competition, with both Meta and Google's AI systems already offering this feature, albeit not yet to the general public.

What are Latest Updates on GPT-4?

According to OpenAI's GPT-4 research section, five Indian languages - Bangla, Urdu, Punjabi, Marathi, and Telugu - were included among the 26 languages tested and trained on. Even though the selection of these languages was likely random, the results suggest that GPT-4 will be capable of understanding regional languages. As a result, the new ChatGPT will be able to understand and respond in regional Indian languages, expanding the potential applications of chatbots for Indian businesses in the future.

A recent study from Fishbowl, a professional networking app, shows that over 43% of surveyed workers utilize AI technologies like ChatGPT for work-related tasks, representing a nearly 50% increase from January of this year. However, only about 32% of ChatGPT users in the study stated they used the chatbot with their boss’s knowledge. In addition, 68% of respondents said they don’t inform their manager about their use of AI technologies for work-related tasks. The survey included employees from notable organizations like Amazon, Google, and IBM, among others.

Despite employees being unwilling to discuss their ChatGPT usage with their supervisors, they were willing to share it with their coworkers. Posts and comments mentioning ChatGPT have increased by 107% since January, according to Fishbowl. The chatbot is frequently used for resumes and cover letters, copywriting, coding, and the creation of sales and marketing emails. Fishbowl suggests that the recent release of the GPT-4 language model has further heightened excitement surrounding ChatGPT, prompting speculation about its potential to replace human workers.

Can GPT-4 beat GPT-3.5 in terms of performance?

The main difference with GPT-4 is its ability to process uploaded images. One remarkable demonstration showed how a simple sketch could be transformed into a functional website using the generated code from GPT-4. Additionally, OpenAI showcased GPT-4's capacity to identify humor in a sequence of photos that required contextual understanding, such as a smartphone being charged incorrectly. Despite its simplicity, recognizing jokes is a challenging task for artificial intelligence. In another experiment, The New York Times provided GPT-4 with a photo of a refrigerator's contents and asked it to create a dinner using the available items. While the image feature is not yet available online, OpenAI plans to make it accessible in the upcoming weeks. GPT-4 has improved its ability to generate written responses, which are longer, more comprehensive, and more reliable than its predecessor. The new version can produce responses up to 25,000 words, a significant increase from the previous 4,000, and can provide detailed instructions for unusual situations such as cleaning a piranha's fish tank or extracting a strawberry's DNA. An early user claimed that it provided thorough pick-up line recommendations based on a dating profile query. GPT-4, with its language skills and ability to write code in various programming languages, has allowed inexperienced users to create classic games like Pong, Tetris, and Snake, and even develop their own games. It is predicted that GPT-4's linguistic prowess will be useful for character development, storyboarding, and video game material generation, leading to the emergence of independent game suppliers. GPT-4 may also be used for producing news stories, moderating discussion forums, and developing marketing content for game previews. GPT-4 has the potential to change the application development process, with users claiming to have created apps in minutes. According to an analyst, anyone can code with some coaching, and AI can be a capable teacher. GPT-4 has the potential to revolutionize different sectors. DoNotPay, a legal services chatbot, plans to use GPT-4 to create "one-click lawsuits" to fight robocallers. The tool can create a 1,000-word lawsuit from a call's transcript. This method is also being used by Keeper's CEO to improve their consumer matches. ABI Research's Lian Jye Su predicts significant advancements in AI applications, such as connected automobile dashboards and remote diagnostics in healthcare. GPT-4's ability to handle such tasks that were previously not possible is a promising development.

Practical Usage of GPT-4

• The new ChatGPT Plus can handle up to 50 pages of text making it possible for users to use GPT-4 to complete tasks without having to read lengthy documents like contracts or white papers. It is important for employees to understand how to use GPT-4 effectively to achieve desired results. For example, users can ask GPT-4 to compose an email based on the output of the contract's top areas of concern.
• Experts highlight the importance of teaching GPT-4 to recognize a writer's tone of voice to ensure that articles are written in their distinctive manner. Although some may find this challenging, it can be helpful in other situations. With GPT-4, users can input more data than previous models, such as several emails or social media posts, to help it better understand a user's writing style and produce better results in the future. This training process has become easier, and users no longer need to significantly alter ChatGPT responses to reflect their tone or brand.
•  AI has changed the recruitment landscape. Now, with GPT-4, recruiters can create highly customized messages by inputting data from a candidate's LinkedIn profile, website, and other social media. For example, if an applicant has worked in a particular sector for ten years and is interested in a consultative role, GPT-4 can produce a message that reflects this. This personalization can help recruiters fill vacancies more quickly and successfully. please read more use cases.

How HuggingGPT is planning to connect with ChatGPT?

• HuggingGPT is a revolutionary approach that connects LLMs like ChatGPT with the ML community like Hugging Face to solve complex AI problems by processing inputs from several modalities.
  
  
•  HuggingGPT uses a combination of specification-based instruction and demonstration-based parsing to guide the LLM towards efficient task planning, selects the appropriate model for each task from expert model descriptions stored in the Hugging Face Hub, and dynamically chooses which models to apply to specific tasks.
  
  
•  HuggingGPT offers intermodel cooperation protocols, making it possible to create general AI models that take on broad classes of AI problems, and provides a straightforward user interface for locating and downloading ready-to-use models for various NLP applications.

 Can GPT-4 replace human Jobs?

A Twitter user enquired of GPT-4 to provide a list of tasks it could potentially undertake, which were then ranked according to the simplicity of the tasks for ChatGPT to perform. The list included positions such as a travel agent, recruiter, technical support analyst, news reporter, market research analyst, copywriter, transcriptionist, tutor, bookkeeper, telemarketer, paralegal, and data entry clerk. It also comprised of roles such as virtual assistants, translators, social media managers, email marketers, proofreaders, content moderators, and recruiters.

GPT-4 not only listed the jobs it could replace but also highlighted specific human characteristics that it could replicate in these roles, such as linguistic fluency, critical thinking, attention to detail, and problem-solving. For example, it can be extremely swift and accurate, understand and communicate emotions, pay attention to intricate details, conduct research and organize information, be proficient in multiple languages and numeracy, be creative and proficient in writing, analyze data, and manage time effectively. However, the chatbot may still struggle to comprehend subtle human emotions.

How to access GPT-4?

Currently, it's not free. There are limited ways to access the GPT-4 model, as it's not widely available to the public. However, some entities, such as Duolingo and the Government of Iceland, have been using the GPT-4 API to enhance their existing products.

For those using the new Bing with ChatGPT, you've actually been using GPT-4 without even realizing it. If you haven't been using the AI features of Bing, you can sign up for the waitlist to gain early access. Additionally, OpenAI has stated that GPT-4 will be available to ChatGPT Plus users and developers using the API, although it will come at a cost for now. OpenAI has expanded its ChatGPT plugin support to enhance its capabilities and provide access to up-to-date information. Click here to get more information about ChatGPT plugin.

Is SQL Useful for Artificial Intelligence?

Artificial intelligence (AI) is a software technology that enables computers to perform tasks that typically require human intelligence. AI is becoming increasingly prevalent in our daily lives, from social media platforms like Facebook and Instagram to the development of new technologies like the metaverse. The internet is also being transformed by AI, with AI-powered software being used to improve everything from search engines to online shopping experiences.

SQL (Structured Query Language) is a programming language used to manage and manipulate relational databases. It is a powerful tool for storing, retrieving, and manipulating data, making it an essential tool for many businesses and organizations. When it comes to artificial intelligence (AI), SQL can be useful in several ways.
One of the most significant ways SQL can be useful for AI is in data preparation. Data is the lifeblood of AI, and preparing data for machine learning models can be a complex and time-consuming process. With SQL, however, this process can be streamlined and automated.

For example, consider a company that wants to build a machine learning model to predict customer churn. They have data on customer behavior, such as purchase history and interaction with customer service, stored in a relational database. Using SQL, they can extract this data, clean it, and prepare it for use in a machine learning model.

Here is an example SQL query that might be used to extract data on customer behavior:

ChatGPT vs Google Bard: what are the differences?

ChatGPT and Google Bard are both artificial intelligence language models, but there are significant differences between them.

Firstly, ChatGPT is a large language model developed by OpenAI, while Google Bard is a smaller AI model developed by Google. ChatGPT was trained on a massive dataset of texts, including books, articles, and websites, whereas Google Bard was trained on a more limited dataset of web pages.

Another key difference is that ChatGPT is designed to generate human-like responses to text-based inputs, while Google Bard is primarily used for understanding and processing natural language queries. ChatGPT can hold conversations with users, answer questions, and even generate new content based on prompts, while Google Bard is more focused on retrieving information from the internet and presenting it in a clear and concise manner.

In terms of performance, ChatGPT is generally considered to be one of the most advanced language models currently available, thanks to its large size and advanced training techniques. It can generate coherent and contextually appropriate responses to a wide range of prompts, and is particularly good at understanding the nuances of language and picking up on subtle cues such as tone and emotion. Google Bard, on the other hand, is more limited in its capabilities and tends to struggle with more complex queries or those that require a deeper understanding of context.

One area where Google Bard does have an advantage, however, is in its speed and efficiency. Because it has been designed specifically for processing natural language queries, it can quickly and accurately retrieve information from the internet and present it in a clear and concise manner. ChatGPT, by contrast, is more focused on generating human-like responses, which can sometimes take longer to process and may require more computational resources.

Another important difference between the two models is the way they are accessed by users. ChatGPT is typically accessed through a chat interface or API, allowing users to hold conversations with the model or generate new content based on prompts. Google Bard, on the other hand, is primarily accessed through the Google search engine, where it is used to process natural language queries and present relevant results.

Finally, it's worth noting that both ChatGPT and Google Bard are constantly evolving and improving as new training techniques and datasets become available. As such, it's likely that both models will continue to develop and improve in the coming years, with each model offering its own unique strengths and capabilities.

There are 5 bullet points that states that ChatGPT is taking over to Google Bard:

• ChatGPT is capable of generating code from natural language prompts, making it a powerful creative tool.
• ChatGPT has a more generous input limit and can carry on a conversation for much longer, making it a better tool for generating text and new ideas.
• ChatGPT is an excellent teacher that can break down complex topics into simple terms, making it a superior alternative to Google Bard.
• ChatGPT can converse and generate text in multiple languages.
• ChatGPT has a higher ceiling for humor and fun than Google Bard, making it more culturally aware and creative.

Bard vs ChatGPT (summary):

In conclusion, ChatGPT and Google Bard are both artificial intelligence language models, but they differ in several key ways. While ChatGPT is designed to generate human-like responses and can hold conversations with users, Google Bard is more focused on processing natural language queries and presenting relevant results. Despite these differences, both models are constantly evolving and improving, and are likely to remain important tools in the field of natural language processing for years to come.

How does Blockchain Technology Help Organizations When Sharing Data ?

In recent years, businesses of all sizes have been exploring the potential of blockchain technology for their operations and growth. Blockchain technology is a distributed ledger system that allows for secure and transparent transactions between parties without the need for intermediaries. What blockchain offers as the benefits to businesses leveraging blockchain technology for their operations and growth are given below:

Improved Transparency and Trust Block

the blockchain technology provides a transparent and immutable record of all transactions on the network. This means that businesses can easily trace the flow of goods and services, ensuring that transactions are secure and legitimate. This level of transparency and trust can help businesses build stronger relationships with their customers, suppliers and partners.

Increased Efficiency and Reduced Costs 

Blockchain platform allows for the automation of many processes, which can help businesses reduce their operational costs. By eliminating the need for intermediaries, such as banks or brokers, businesses can cut down on the time and costs associated with processing transactions. Blockchain technology can also help businesses reduce the risk of errors and fraud, which can further improve efficiency and reduce costs.

Enhanced Security 

One of the key benefits of blockchain solution is its ability to provide enhanced security for businesses. Blockchain technology uses complex cryptographic algorithms to secure transactions and protect against hacks and cyber attacks. By leveraging blockchain technology, businesses can ensure that their data and assets are secure, reducing the risk of costly data breaches.

Improved Supply Chain Management 

Blockchain technology can be used to improve supply chain management by providing a transparent and immutable record of all transactions. This can help businesses track the movement of goods and services from the point of origin to the point of consumption. By improving supply chain management, businesses can reduce the risk of delays and errors, improving customer satisfaction and reducing costs.

Increased Accessibility and Inclusivity 

Use of blockchain technology can help businesses reach new markets and customers by providing a more accessible and inclusive platform for transactions. Blockchain technology can enable businesses to conduct transactions with customers in remote or underbanked areas, improving financial inclusion and expanding business opportunities.

Streamlined Regulatory Compliance 

Blockchain technology can help businesses comply with regulations by providing a transparent and immutable record of all transactions. This can help businesses demonstrate compliance with regulations, reducing the risk of fines and other penalties. By leveraging blockchain technology, businesses can streamline regulatory compliance processes, improving efficiency and reducing costs.

Improved Traceability and Accountability 

Blockchain technology can help businesses improve traceability and accountability by providing a transparent and immutable record of all transactions. This can help businesses track the origin and ownership of assets and products, reducing the risk of counterfeiting and fraud. By improving traceability and accountability, businesses can build stronger relationships with their customers and partners, improving trust and loyalty.

Role of Blockchain Technology in Finance Area:

• Blockchain technology can revolutionize financial transactions by enabling secure, open transactions without the use of middlemen like banks.
• The use of encryption makes blockchain secure and immutable, making it appropriate for digital currency.
• Blockchain technology enables quicker and more efficient transactions, saving time and cost, especially for cross-border transactions.
• However, blockchain technology still has concerns around scalability, interoperability, and regulatory compliance.
• Potential risks and uncertainties like hacking and market volatility need careful assessment and management before widespread adoption.

In conclusion, businesses can benefit greatly from leveraging blockchain technology for their operations and growth. By improving transparency, efficiency, security, supply chain management, accessibility, regulatory compliance, traceability, and accountability, businesses can gain a competitive advantage and enhance their overall performance. As blockchain technology continues to evolve and mature, businesses that embrace this technology will be well positioned to thrive in the digital economy.