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GPT-4 AI Chatbot Scores High on Tests

GPT-4, the latest version of the artificial intelligence chatbot ChatGPT, has achieved impressive scores on a range of high school and law school tests, according to its creator OpenAI. The new version of the chatbot has demonstrated improved processing capabilities, including the ability to convert image, audio, and video inputs to text, and handle more nuanced instructions creatively and reliably.

The most notable achievement of GPT-4 is its performance on the LSAT, the test that college students in the United States must pass to be admitted to law school. GPT-4 scored 163, which puts it in the 88th percentile and in a good position to be admitted to a top 20 law school. The score is only a few marks short of the reported scores needed for acceptance to prestigious schools like Harvard, Stanford, Princeton, and Yale. The prior version of ChatGPT only scored 149 on the LSAT, putting it in the bottom 40%.

GPT-4 also excelled on the Uniform Bar Exam, which is taken by recently graduated law students to practice as a lawyer in any U.S. jurisdiction. GPT-4 scored 298 out of 400, while the old version of ChatGPT scored only 213 out of 400.

In addition to law school exams, GPT-4 also achieved high scores on the SAT Evidence-Based Reading & Writing and SAT Math exams, scoring in the 93rd and 89th percentile, respectively. It also performed well on AP exams in biology, chemistry, and physics, with scores ranging from 66-100%. However, its AP Calculus score was fairly average, ranking in the 43rd to 59th percentile.

Despite its strengths, GPT-4 struggled in English literature exams, scoring in the 8th to 44th percentile across two separate tests.

Overall, the test results demonstrate that GPT-4 has made significant advancements compared to its prior version, with improved processing capabilities and the ability to pass high school and law school tests with scores ranking in the 90th percentile. These developments are significant for the field of artificial intelligence and have implications for the use of chatbots and similar technologies in various industries, including education and legal services.

Alibaba Enters AI Race with Tongyi Qianwen Chatbot

Alibaba, the Chinese e-commerce giant, has announced its own version of a chatbot assistant, called Tongyi Qianwen. The new product is expected to be rolled out in the near future and will be integrated with Alibaba’s vast ecosystem of tech businesses, including the workplace messaging app, DingTalk, and the voice assistant smart speaker, Tmall Genie.

Tongyi Qianwen will be able to communicate in both English and Mandarin, and its initial task scope will include turning conversations into written notes, writing emails, and drafting business proposals. Alibaba’s new product draws comparisons to OpenAI’s ChatGPT, which was released in November 2022 and was later integrated into Microsoft’s internet browser, Bing.

Generative AI, like ChatGPT, has made global headlines due to its ability to provide sophisticated information responses in a casual chat-like manner, mimic different writing styles by command and ultimately help users create all kinds of texts, from academic research to movie scripts.

Notably, Google’s parent company, Alphabet, and Chinese tech behemoth, Baidu, have also announced their versions of AI chatbots, named Bard and Ernie, respectively.

Alibaba’s entry into the AI race with Tongyi Qianwen is significant as it further underscores the growing trend towards chatbots and AI assistants in the technology industry. However, the main intrigue surrounding Alibaba’s new product is whether Tongyi Qianwen could work on more creative tasks like its American counterpart, ChatGPT.

Moreover, Alibaba’s entry into the AI race also brings attention to the Cyberspace Administration of China’s guidelines for chatbot developers. According to article four of its guidelines, once made open for public feedback on April 11, such content should “reflect the core values of socialism, and must not contain subversion of state power.” The guidelines also require chatbot developers to ensure that AI-generated content is “accurate” and doesn’t “endanger security.”

In conclusion, Alibaba’s new product, Tongyi Qianwen, is another significant step in the AI race and highlights the growing trend towards chatbots and AI assistants in the technology industry. It will be interesting to see how Tongyi Qianwen compares to its American and Chinese counterparts in terms of functionality and creative capabilities. Additionally, as the use of AI and chatbots becomes more widespread, ensuring the accuracy and security of AI-generated content will continue to be an important issue for the technology industry and society as a whole.

ChatGPT Ban Lifted in Italy

OpenAI’s interactive AI chatbot, ChatGPT, has had its temporary ban in Italy lifted after being accused of violating GDPR. On March 31, the Italian data protection agency, Garante, issued the ban after suspecting that ChatGPT had violated the European Union’s General Data Protection Regulations. The ban was lifted on April 29, after the company complied with the regulator’s transparency demands and implemented age-gating measures.

ChatGPT was required to reveal its data processing practices and comply with other legal requirements to comply with the Italian regulator’s demands. The ban was issued in response to a data breach that occurred on March 20. The company’s compliance with local authorities is viewed positively, and the willingness to comply with transparency demands has been widely welcomed by ChatGPT’s global user base.

The ban on ChatGPT initially raised concerns about potential AI regulations. However, the swift compliance of OpenAI with local authorities indicates a positive move towards the regulation of AI. European Union legislators are working on a new bill to monitor AI developments. If this bill is signed into law, generative AI tools like ChatGPT and Midjourney will be subject to disclosure of the use of copyrighted materials in AI training.

ChatGPT is a popular interactive AI chatbot developed by OpenAI, capable of conversing with users on a wide range of topics. The chatbot uses deep learning techniques to analyze user input and generate responses. It has gained widespread popularity and is used by individuals and businesses globally.

The ban on ChatGPT in Italy highlights the importance of complying with data protection regulations. GDPR is a set of regulations designed to protect the privacy and personal data of individuals within the European Union. Companies that operate within the EU or process the personal data of EU residents are required to comply with GDPR. Failure to comply with GDPR can result in significant fines and legal penalties.

OpenAI’s swift compliance with the Italian regulator’s demands demonstrates the company’s commitment to data protection and privacy. It also highlights the need for companies to be transparent about their data processing practices and to implement measures to protect user privacy. The lifting of the ban on ChatGPT is a positive development for the AI industry and demonstrates the importance of compliance with data protection regulations.

What is Chatgot? Everything You Should Know

Introduction to Chatgot

Chatgot is an AI service aggregator or AI agent, effectively integrating multiple AI chat assistants into a single platform to streamline and enhance user experience. Among its typical integrations are prominent AI services and projects such as GPT4, Claude V2, Google PaLM 2, and Midjourney. This innovative approach allows users to receive a variety of answers and facilitates the comparison and evaluation of these AI-generated responses. Additionally, Chatgot will offer a range of Customizable Characters, including an SEO expert, a virtual girlfriend, and a translation expert, catering to diverse user needs. The platform will also integrate with search engines like Google and Bing, ensuring access to the latest information. This multifaceted functionality makes Chatgot a versatile and user-friendly AI agent.

Why Choose Chatgot?

Here’s what Chatgot offers:

Direct Conversations: Utilize the ‘@’ symbol to direct your queries to a specific AI Bot. Whether you’re in search of varied insights or need expertise on a particular topic, simply tag the relevant AI.

Get Multiple Answers: Unsure which AI to consult? Tag multiple AI bots in your query to receive a spectrum of responses simultaneously, enriching your decision-making process with diverse perspectives.

Experience AI Artistry: In the mood for some creativity? Inform the AI, and it will automatically tag @Midjourney, our dedicated AI for drawing, to create a unique piece of art tailored to your request.

AI Interactions: Explore the intriguing world of AI evaluation. Ask a question to one AI, then have another appraise or comment on the answer. This feature offers an engaging mix of entertainment and critical analysis, providing a novel experience of AI communication dynamics.

Source: Chatgot.io

Applications

Chatgot’s applications are potentially vast and varied, encompassing areas such as:

Customer Service: Automating responses to common queries, thereby reducing the workload on human customer service representatives.

E-commerce: Assisting in product selection, providing recommendations, and guiding users through purchase processes.

Information Dissemination: In sectors like healthcare, education, and government, providing quick and reliable information to users.

Personal Assistance: Managing schedules, setting reminders, and performing other personal assistant functions.

How to Use Chatgot

Step 1: Signing In

Google Account Integration: Currently, Chatgot supports sign-in exclusively through your Google Account. To access Chatgot, visit their website and choose the option to sign in using your Google credentials. This integration ensures a secure and quick login process, leveraging Google’s robust authentication systems.

Step 2: Interacting with the Default AI Service

Once you’ve logged in, you’ll be greeted by the default AI service, GPT-3.5. To start a conversation or ask a question, simply type your prompt into the chat interface. GPT-3.5 is equipped to handle a wide range of queries, providing responses in real-time.

Step 3: Switching AI Services

Chatgot offers the flexibility to switch between different AI services. For instance, if you wish to use Midjourney, an alternative AI service, you can easily do so by tagging it in your chat. This feature enables the comparison of responses from various AI systems, allowing you to select the one that most closely aligns with your specific needs.

Source: Chatgot.io

Chatgot Privacy

ChatGot, which integrates various AI assistants into a single platform, maintains a privacy policy that emphasizes user data management. Presently, user conversations with ChatGot are stored locally on the user’s browser, allowing users the freedom to delete this data as they see fit. In terms of third-party analytics, ChatGot utilizes Google Analytics to understand user interactions, and details on data handling by Google Analytics are available in Google’s privacy policy. Additionally, users logging in via their Google account have their email addresses stored on ChatGot’s servers. The policy highlights the importance of users regularly reviewing these terms to stay informed, with significant updates being communicated effectively.

Chatgot Pricing Plan

As a new user, you are entitled to a 7-day trial period. Chatgot provides subscribers with access to a suite of advanced AI chatbots, including GPT-3.5, GPT-4, and Claude, each with a specific monthly usage limit. Subscription fees are package-dependent and may change without notice. Cancellations are permitted at any time without refunds for unused portions. Chatgot ensures user data privacy and security in line with its Privacy Policy. Chatgot is not liable for indirect damages or interruptions from third-party APIs. Chatgot terms may be revised, with continued use implying agreement. Subscribing to Chatgot constitutes agreement to these terms.

(1) Annual Subscription Plan:

Monthly Access Quota:

GPT-4.0: 600 queries per month

GPT-3.5: 5000 queries per month

Claude 1: 600 queries per month

Claude 2: 300 queries per month

Midjourney: 60 queries per month (marked as a gift, indicating it may be a bonus or a trial)

Llama v2: 1000 queries per month

Pricing: The cost is $12.9 USD per month, billed annually. The total annual cost at this monthly rate would be $154.8 USD, reflecting a 24% saving compared to the monthly billing option.

Source: Chatgot.io

(1) Monthly Subscription Plan:

Monthly Access Quota remains the same as the annual plan.

Pricing: The cost for monthly billing is $16.9 USD per month.

Both plans provide full access to all bots, including GPT-4 and Claude-2-100k. The use of different bots will consume the quota based on the model they are built upon. It’s important to note that the Midjourney bot is currently in beta and may be unstable, which could be relevant for users considering this option. By subscribing to ChatGPT Plus, customers are agreeing to its subscription terms, which typically include details about the usage policy, additional fees, and other terms of service.

Source: Chatgot.io

Alternatives to Chatgot

For users seeking alternatives with similar or distinct features, several other options are available in the market. This section explores these alternatives, highlighting their unique capabilities and how they compare to Chatgot.

Virtual Mate Network (VMN): Specializing in personalized AI interactions, VMN offers a range of virtual companions and experts. While it shares the customizable character feature with Chatgot, VMN places a greater emphasis on personalization and interactive experiences, making it a go-to for users seeking more than just information retrieval.

TranslateAI Pro: Focused primarily on linguistic services, TranslateAI Pro is an excellent choice for those who need real-time translation and language learning assistance. It differs from Chatgot by specializing in language services rather than providing a broad range of AI assistant capabilities.

AI Fusion Hub: This platform stands out with its ability to combine AI services from various providers. Unlike Chatgot, which focuses on chat assistants, AI Fusion Hub extends its services to data analysis and predictive modeling, catering to a more technically inclined audience.

InfoStream AI: Integrating with popular search engines like Google and Bing, similar to Chatgot, InfoStream AI differentiates itself with a unique feature of real-time news aggregation and summarization, appealing to users who need to stay updated with the latest global events and trends.

Conclusion

Chatgot represents an interesting AI technology application, seamlessly integrating various AI chat services such as GPT-4 and Claude V2 into a single platform. This integration offers users a diverse range of AI interactions and the ability to compare responses, enhancing their experience. The platform’s additional incoming features, including customizable characters and search engine integration, cater to a wide array of user needs, from personal assistance to professional queries.

Stanford's WikiChat Addresses Hallucinations Problem and Surpasses GPT-4 in Accuracy

Researchers from Stanford University have unveiled WikiChat, an advanced chatbot system leveraging Wikipedia data to significantly improve the accuracy of responses generated by large language models (LLMs). This innovation addresses the inherent problem of hallucinations – false or inaccurate information – commonly associated with LLMs like GPT-4.

Addressing the Hallucination Challenge in LLMs

LLMs, despite their growing sophistication, often struggle with maintaining factual accuracy, especially in response to recent events or less popular topics. WikiChat, through its integration with Wikipedia, aims to mitigate these limitations. The researchers at Stanford have demonstrated that their approach results in a chatbot that produces almost no hallucinations, marking a significant advancement in the field.

Technical Underpinnings of WikiChat

WikiChat operates on a seven-stage pipeline to ensure the factual accuracy of its responses. These stages include:

Generating queries from Wikipedia data.
Summarizing and filtering the retrieved paragraphs.
Generating responses from an LLM.
Extracting statements from the LLM response.
Fact-checking these statements using the retrieved evidence.
Drafting the response.
Refining the response.

This comprehensive approach not only enhances the factual correctness of responses but also addresses other quality metrics like relevance, informativeness, naturalness, non-repetitiveness, and temporal correctness.

Performance Comparison with GPT-4

In benchmark tests, WikiChat demonstrated a staggering 97.3% factual accuracy, significantly outperforming GPT-4, which scored only 66.1%. This gap was even more pronounced in subsets of knowledge like ‘recent’ and ‘tail’, highlighting the effectiveness of WikiChat in dealing with up-to-date and less mainstream information. Moreover, WikiChat’s optimizations allowed it to outperform state-of-the-art Retrieval-Augmented Generation (RAG) models like Atlas in factual correctness by 8.5%, and in other quality metrics as well.

Potential and Accessibility

WikiChat is compatible with various LLMs and can be accessed via platforms like Azure, openai.com, or Together.ai. It can also be hosted locally, offering flexibility in deployment. For testing and evaluation, the system includes a user simulator and an online demo, making it accessible for broader experimentation and usage.

Conclusion

The emergence of WikiChat marks a significant milestone in the evolution of AI chatbots. By addressing the critical issue of hallucinations in LLMs, Stanford’s WikiChat not only enhances the reliability of AI-driven conversations but also paves the way for more accurate and trustworthy interactions in the digital domain.

OpenAI Dismisses NYT Copyright Lawsuit as Baseless Amid Rising Legal Challenges

OpenAI, a leading artificial intelligence research lab, has dismissed a copyright lawsuit filed by The New York Times (NYT) as “without merit.” The lawsuit, which was brought to light by the NYT, accuses OpenAI of using the newspaper’s content for training its AI chatbots, such as GPT-4 and DALL-E 3, without authorization. This move by the NYT represents a significant challenge in the rapidly evolving landscape of AI and copyright law.

In December 2023, the NYT filed a lawsuit against OpenAI and Microsoft, alleging that the companies used the Times’ copyrighted content to train their generative AI models. The suit, which has become a major talking point in the AI community, claims that this action was taken without permission or payment, potentially causing billions of dollars in damages to the NYT.

OpenAI, however, has countered these allegations. In a public response, OpenAI reiterated its stance that training AI models using publicly available data, including articles from the NYT, falls under fair use. The company argues that this approach is essential for innovation and competitiveness in the U.S. OpenAI also addressed the issue of “regurgitation,” where AI models output training data verbatim, stating that this is less likely with data from a single source and that it’s the users’ responsibility to avoid intentional misuse of the models.

Interestingly, OpenAI has been in constructive discussions with the NYT about forming a partnership. These talks were progressing well until the lawsuit was filed, which came as a surprise to OpenAI. The company believes that this legal action is not representative of the typical use or intent of its AI models and sees this as an opportunity to clarify its business practices and technology development.

The NYT lawsuit is part of a growing trend where content creators, including artists and journalists, are challenging the use of their work in training AI systems. Other lawsuits have been filed against OpenAI and similar companies, accusing them of copyright infringement. This legal pushback signifies a broader concern over the ethical and legal implications of AI in the creative and media industries.

Notably, some news organizations have chosen a different path, forming licensing agreements with AI companies. The Associated Press and Axel Springer, for example, have entered into deals with OpenAI, indicating a potential collaborative approach to address these challenges. However, these agreements are often for relatively small sums, especially considering the revenues of AI companies like OpenAI.

The lawsuit and the issues it raises about AI and copyright law are set to be a pivotal moment in defining the boundaries and responsibilities of AI developers and content creators. As the case unfolds, it will undoubtedly have significant implications for the future of AI, journalism, and intellectual property rights.