Back up by a published paper, OpenAI affirms that users who utilise CriticGPT to analyse ChatGPT code perform 60% better than users who do not use the AI tool. 

The AI giant stated that it is currently integrating CriticGPT models into its RLHF (reinforcement learning from human feedback) machines which assists the company’s AI trainers. RLHF collects feedback which the AI trainers compare and rate the various responses provided by ChatGPT. 

OpenAI’s CriticGPT and Why it is Needed

Over the years since its inception, ChatGPT has improved by leaps and bounds regarding its accuracy with answers and suggestions. Though this is a benefit, it also poses a challenge for RLHF. This is due to the lack of inaccuracies or mistakes available for AI trainers to draw their comparisons from. Alignment of models becomes more of a hurdle as responses become more accurate to which trainers are unable to provide feedback. CriticGPT is OpenAI’s answer to solving this problem. 

GPT-4 powers ChatGPT and CriticGPT is also based on this very model. Additionally, RLHF trained and integrated with CriticGPT. However, the new AI tool perceived more inaccuracies to be critiqued. AI trainers were then instructed to enter the inaccuracies into ChatGPT’s code and compose sample feedback under the pretence that the trainers found the bug.

The trainers are then asked to compare numerous critiques of the reviewed code. This is done to make it easier to detect a critique that catches the bug. CriticGPT also creates lengthier and more extensive critiques.

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Today, we’re toasting ChatGPT’s first year, a journey marked by incredible strides since its debut in the research preview. OpenAI ChatGPT has consistently stretched the limits of generative AI from small starts, redefining what’s achievable across various tasks. Join us as we navigate the one-time year, spotlighting key landmarks and updates that have molded ChatGPT into today’s dynamic and robust tool.

Evolution of ChatGPT: Transforming from Research to Tailorable GPTs

This unfolding tale spans about a year, kicking off on November 30. However, this is the day when OpenAI announced ChatGPT’s research preview. User feedback started a wave of improvements.

Before the holidays, on December 15, 2022, ChatGPT got performance boosts and new components for handling conversation history. January 9, 2023, brought factuality improvements and a handy pause feature mid-conversation. They address user input and offer more control. 

February 2023 emerged as a game-changer. ChatGPT Plus debuted on February 9, introducing fresh features and a speedier ‘Turbo’ version for Plus users.

Shortly after, on February 13, free plan performance was updated, and ChatGPT Plus became available internationally with its faster version. Moreover, March 14, 2023, observed a turning point with the GPT-4 to Plus subscribers.

New feature updates of OpenAI ChatGPT

The latest model showcased adept instruction handling, advanced reasoning, and a boost in creativity. June & July of 2023 were action-packed with mobile application updates and fresh features. June 22 saw browsing features added to the mobile app, but on July 3, the feature was briefly removed for progress. 

On September 27, an updated web browsing version was rolled out to Plus users. Moreover, the fourth quarter of 2023 kicked off on October 16 with the integration of DALL·E 3 in beta, allowing image generation from text prompts. On October 17, the browsing feature came for Plus and Enterprise users. However, November 6 marked a milestone at OpenAI’s DevDay by introducing customizable ChatGPT versions, or GPTs, designed for specific tasks.

The Next Chapter for OpenAI ChatGPT

In the year ahead, expect gradual enhancements and significant jumps in AI abilities, shaping a more interactive and integrated experience with digital assistants.

With a robust and diverse community of developers and users, OpenAI ChatGPT evolution is set to exceed expectations, pushing the limitations of the current AI landscape.

However, entering this new chapter, the potential is boundless, reflecting the ongoing advancements in generative AI.

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The post OpenAI ChatGPT One-Year Celebration: Reflecting on Remarkable AI Advances appeared first on Tricky Enough.

OpenAI GPT-4 Turbo Enhances Abilities and Knowledge.

GPT-4 Turbo is a game-changer, processing up to 300 content pages, a vast improvement from the previous 3,000-word limit. This widens its range of handled queries and deepens the response context—ideal for industries relying on thorough data analysis.

Picture a marketing team tackling a massive campaign, needing to dive into customer feedback. Before, it meant multiple queries. GPT-4 Turbo swiftly navigates through thousands of reviews, revealing nuanced insights for businesses to tailor strategies precisely.

The model’s knowledge is updated till April 2023, surpassing the previous cut-off in January 2022.

Lower Prices for Wider Access.

OpenAI is making AI tech accessible with an intelligent move, cutting costs for GPT-4 Turbo. The input tokens stand at $0.01, & output tokens are $0.03, making powerful tools affordable for developers and companies. Input tokens are cheaper three times, and output tokens are affordable twice, sparking more innovation among developers. Its cost-effectiveness is OpenAI’s strategy to stay competitive, responding to developers’ needs and making AI more widely available. CEO Sam Altman stresses the significance of hearing to developers, shaping the latest model’s pricing and capabilities for broader accessibility.

Personalise Your AI Experience with Customizable ChatGPT.

OpenAI brings an excellent update: now you can personalise ChatGPT! No coding skills are needed. Tailor AI interactions for exact industries, personal choices, and use cases. This move aims to make ChatGPT more user-friendly and broaden its reach.

Now, anyone can customise AI with the customised chatbot builder, not just developers. It provides easy-to-use tools for creating customised AI chatbots. This move could change how users interact with and adapt technology, seamlessly integrating AI into life and work.

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To lessen the mental load on human moderators, OpenAI unveiled an AI moderation system based on GPT-4. In order to help with content filtering on internet platforms, OpenAI recently disclosed that it had created an AI system employing GPT-4.

In comparison to conventional human-led moderation. The company claims that this technology enables faster iteration of policy changes and more uniform content labeling.

With this change, we hope to increase policy updates’ speed, improve consistency in content labeling, and lessen our reliance on human moderators. It could also improve the mental health of human moderators, demonstrating the potential for AI to protect mental health online.

Moderation of Content Issues

Content moderation, according to OpenAI, is difficult work that demands painstaking attention. A nuanced comprehension of context, and constant adaptability to new use cases.

Traditionally, human moderators have been responsible for these time-consuming responsibilities. They examine a lot of user-generated content and eliminate any hazardous or unsuitable information.

This type of labor may be psychologically exhausting. The human cost of online content moderation may be decreased by using AI to perform the task.

How Does the AI System at OpenAI Work?

By utilizing GPT-4 to read content policies and reach moderation decisions, OpenAI’s new approach intends to aid human moderators.

Experts in the policy first draught label samples and content standards that follow the policy. After that, GPT-4 identifies identical examples without revealing the reviewer’s responses.

GPT-4’s labels can be improved by comparing them to human labels, and OpenAI can retrain the AI until it consistently understands the rules.

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