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A Chatbot Capable of Learning from Its Mistakes

By Anthony Burr | TH3FUS3 Managing Editor

September 6, 2024 07:04 AM

Reading time: 1 minute, 56 seconds

TL;DR HyperWrite AI has introduced 'Reflection 70B,' an innovative chatbot capable of learning from its mistakes. CEO Matt Schumer claims it to be the top open-source model. The AI uses a new technique called 'Reflection-Tuning' to correct its own errors.

HyperWrite AI has recently launched a groundbreaking addition to the artificial intelligence landscape: the Reflection 70B. CEO Matt Schumer announced it in a September 5 post on X. This new chatbot is said to stand out from the crowd by its ability to learn from its mistakes.

The World's Top Open-Source Model

According to Schumer, Reflection 70B is not just another AI chatbot. He declared it to be "the world's top open-source model."

This high praise is backed by the innovative training technique known as Reflection-Tuning. This process enables large language models (LLMs) to identify and correct their errors.

Reflection 70B is based on Meta's open-source AI, Llama-3.1, which was launched in July.

Schumer claimed that Reflection 70B could hold its own against even the top closed-source models, such as Anthropic's Claude 3.5 Sonnet and OpenAI's GPT-4o. This ability to compete with these heavyweights makes Reflection 70B a formidable contender in the AI arena.

Tackling AI Hallucinations

One of the significant advancements in Reflection 70B is its ability to address the issue of AI hallucinations. Schumer noted that current AI models often hallucinate and can't recognize when they do so.

AI hallucinations occur when a generative AI chatbot perceives patterns or objects that don't exist, resulting in inaccurate outputs.

Reflection-Tuning allows the AI to analyze and learn from its outputs. This technique feeds AI responses back into the system, where it evaluates its outputs.

The AI can continuously refine its abilities by identifying strengths, weaknesses, and areas for improvement. "With the right prompting, it's an absolute beast for many use cases," Schumer added, providing a demo link for the new model.

Industry Insights

The AI industry has been actively researching ways to mitigate hallucinations. In 2023, Microsoft-backed OpenAI released a research paper discussing methods to prevent AI hallucinations.

One idea proposed was process supervision, which trains AI models to reward themselves for each correct step of reasoning rather than just for the final correct answer.

"Detecting and mitigating a model's logical mistakes, or hallucinations, is a critical step towards building aligned AGI [artificial general intelligence]," said Karl Cobbe, a researcher at OpenAI.

HyperWrite AI's Reflection 70B is a significant step toward creating more reliable and self-aware AI models. Its unique Reflection-Tuning technique aims to set a new standard in the ever-evolving field of artificial intelligence.

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