Open Source Chatbots Lag Far Behind ChatGPT

Date:

Title: Open Source Chatbots vs. ChatGPT: Chasing the Hype without Substance

Introduction:
The race to replicate OpenAI’s groundbreaking chatbot, ChatGPT, has led to the emergence of numerous new chatbots, both from big-tech companies and the open-source community. However, many of these developers are resorting to shortcuts and making exaggerated claims in order to grab attention. One popular shortcut is training these chatbots on data generated by ChatGPT itself. Recently, OpenChat, an open-source alternative, boasted of surpassing ChatGPT’s performance on the Vicuna GPT-4 Benchmark. But a closer look reveals that these claims may not hold up.

Not for Commercial Use:
OpenChat is built on top of LLaMA-13B, a model designed exclusively for research purposes by Meta. As a result, OpenChat cannot be used for commercial purposes. This limitation undermines the credibility of its claims to outperform ChatGPT. Additionally, it is crucial to consider the dataset used for fine-tuning. The LLaMA-based model is trained on only 6,000 conversations out of the available 90,000 on ShareGPT, an online hub for sharing outputs generated by ChatGPT and GPT-4.

Flawed Evaluation Metrics:
The Vicuna GPT-4 Benchmark primarily tests the style and not the informativeness of the generated content. Moreover, this evaluation metric is GPT-based, which means models trained on ChatGPT or GPT-4 data will receive higher ratings when evaluated using GPT, rendering the benchmarking process unreliable. Hugging Face, a prominent platform, discovered similar discrepancies between the evaluation benchmarks published by other open-source models and their performance on Hugging Face’s own benchmarks.

False Hype and Style Imitation:
Experts have criticized the trend of imitating ChatGPT by training models on ChatGPT-generated output, branding it as false progress. These models often excel in mimicking the chatbot’s style while delivering better results on specific tasks. However, when assessed across various general tasks, ChatGPT proves to be the superior assistant.

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Transition to MT-bench and Disappointing Results:
In response to the criticisms, the researchers behind OpenChat decided to transition to MT-bench for testing its performance. Surprisingly, compared to ChatGPT based on GPT-3.5, OpenChat performed significantly worse, amplifying concerns regarding evaluating the model based on Vicuna GPT-4 Benchmark.

Quality Data Drives Success:
The underlying message emerging from this discourse is the undeniable importance of high-quality data for training chatbots. OpenAI’s ChatGPT stands out as it possesses a unique and powerful dataset that sets it apart from its competitors. While the open-source community strives to replicate ChatGPT’s success, training on ChatGPT’s synthetic data might not be the most effective approach. OpenAI has already faced multiple lawsuits for training its models on internet data.

In conclusion, the claims made by models trained on ChatGPT data often fail to live up to expectations when benchmarked against the same metrics as their counterparts. OpenAI’s ChatGPT remains the frontrunner in the realm of chatbots, demonstrating its superiority across various tasks. Regardless of the hype surrounding these new models, the significance of high-quality data cannot be underestimated. OpenAI’s proprietary dataset has played a pivotal role in its success, making it challenging for open-source alternatives to replicate its achievements.

Frequently Asked Questions (FAQs) Related to the Above News

What is the article discussing?

The article discusses the emergence of open-source chatbots in response to OpenAI's ChatGPT and highlights the shortcomings in their claims to outperform ChatGPT.

Why do many open-source chatbots resort to shortcuts?

Many open-source chatbot developers resort to shortcuts to gain attention and replicate ChatGPT's success quickly.

What is one popular shortcut used by open-source chatbots?

One popular shortcut is training chatbots on data generated by ChatGPT itself.

Can OpenChat be used for commercial purposes?

No, OpenChat is built on a model designed exclusively for research purposes and cannot be used commercially.

What is a limitation of OpenChat's claims to outperform ChatGPT?

The limitation arises from OpenChat's restricted commercial use and the small dataset used for fine-tuning.

What flaws are identified in the evaluation metrics used to compare chatbots?

The Vicuna GPT-4 Benchmark, which evaluates the performance of chatbots, primarily tests style rather than informativeness. The benchmarking process is also unreliable since models trained on ChatGPT or GPT-4 data receive higher ratings when evaluated using GPT.

What has been criticized by experts regarding the imitation of ChatGPT?

Experts criticize the trend of training models on ChatGPT-generated output, as it often leads to false progress and models that excel in mimicking the chatbot's style but are inferior in overall performance.

How did OpenChat perform when tested on MT-bench compared to ChatGPT?

OpenChat performed significantly worse on MT-bench than ChatGPT based on GPT-3.5, raising concerns about its performance evaluation based on the Vicuna GPT-4 Benchmark.

What is the significant factor highlighted in the article that drives the success of chatbots?

The article emphasizes the importance of high-quality data in training chatbots, with OpenAI's ChatGPT possessing a unique and powerful dataset that sets it apart from competitors.

Is training on ChatGPT's synthetic data an effective approach for open-source alternatives?

No, training on ChatGPT's synthetic data has not proven to be the most effective approach for open-source alternatives to replicate ChatGPT's success.

Why is OpenAI's proprietary dataset challenging to replicate for open-source alternatives?

OpenAI has faced lawsuits for training its models on internet data, making it legally and practically challenging for open-source alternatives to replicate the quality of data used by ChatGPT.

What stands out as the frontrunner among chatbots according to the article?

OpenAI's ChatGPT stands out as the frontrunner among chatbots, demonstrating its superiority across various tasks.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Aniket Patel
Aniket Patel
Aniket is a skilled writer at ChatGPT Global News, contributing to the ChatGPT News category. With a passion for exploring the diverse applications of ChatGPT, Aniket brings informative and engaging content to our readers. His articles cover a wide range of topics, showcasing the versatility and impact of ChatGPT in various domains.

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