Intense Battle Against AI Hallucinations: Is Google or Anthropic Leading?

Galileo Releases Latest Hallucination Index

It was just recently announced that Galileo, a leading provider of generative artificial intelligence (AI) for business applications, has released its most recent Hallucination Index.

Evaluation of Leading Gen AI LLMs

Twenty-two significant Gen AI LLMs from top organizations such as OpenAI, Anthropic, Google, and Meta were assessed as part of the evaluation technique, which was built around Retrieval Augmented Generation (RAG). In order to appropriately represent the quick rise of both open-source and closed-source LLMs over the course of the prior eight months, the index during this year witnessed significant growth, which included the incorporation of eleven more models.

Challenges in Utilizing Generative AI

Vikram Chatterji, the Chief Executive Officer and Co-founder of Galileo, stated that in the current dynamic environment of artificial intelligence (AI), developers and businesses face a significant obstacle. This obstacle arises from the question of how to effectively utilize the capabilities of generative AI while simultaneously managing the factors of cost, precision, and dependability. Benchmarks that are now in use usually rely on academic scenarios rather than practical applications that are used in the real world.

Use of Context Adherence Metric

In order to validate output inaccuracies throughout a wide range of input durations, ranging from 1,000 to 100,000 tokens, the index made use of context adherence, which is Galileo’s own assessment metric designed specifically for this purpose. The purpose of this approach is to provide companies with the assistance they need to make well-informed decisions concerning the ideal balance between price and performance when it comes to the use of artificial intelligence technology.

Key Findings from the Index

The index illustrates a number of important discoveries, including:

• Top Performers: The Claude 3.5 Sonnet by Anthropic was found to be the model with the highest performance, as it consistently achieved scores that were very close to ideal in situations involving short, medium, and lengthy contexts.
• Cost-Effective Models: The Gemini 1.5 Flash from Google was discovered to be the most cost-effective option, exhibiting outstanding performance across the board.
• Premier Open-Source Model: It was Alibaba’s Qwen2-72B-Instruct that emerged as the premier open-source model, displaying remarkable performance in circumstances including short and medium contexts.

Trends in the LLM Sector

Additionally, the index recognized and highlighted a number of prevalent themes in the LLM sector, including the following:

• Closing Gap Between Open and Closed Source Models: The gap between open-source and closed-source models is rapidly shrinking despite the fact that open-source models offer improved hallucinatory performance at lower costs.
• Efficiency in Analyzing Larger Contexts: RAG Language Models (LLMs) that are currently in use have demonstrated significant improvements in their ability to efficiently analyze larger contexts without sacrificing the quality or accuracy of their information.
• Importance of Efficient Design: There are times when smaller models demonstrate superior performance in comparison to larger ones, which suggests that the importance of efficient design may be greater than the size of the product.
• Global Competition in LLM Development: The development of LLMs is becoming increasingly competitive on a worldwide scale, as seen by the emergence of significant competitors from nations other than the United States, such as Mistral’s Mistral-large and Alibaba’s qwen2-72b-instruct.

Shifting Dynamics in the AI Industry

In spite of the fact that closed-source models like Claude 3.5 Sonnet and Gemini 1.5 Flash are now in the lead due to the fact that they have access to exclusive training data, the index indicates that the situation is rapidly shifting. It is astonishing that Google was able to get such fantastic results, considering that its open-source Gemma-7b model had substandard performance, whereas its closed-source Gemini 1.5 Flash consistently achieved high ranks.

Addressing Hallucinations in AI Models

As a result of the difficulties that the artificial intelligence industry is currently experiencing in dealing with hallucinations, the development of Gen AI products that are ready for production is being blocked. Galileo’s Hallucination Index provides companies with essential information that might assist them in selecting the model that is most suited to meet their specific goals and constraints of their financial resources.

Industry Events and Further Learning

Do you have an interest in acquiring more in-depth knowledge about artificial intelligence and big data from notable personalities in the industry? Attend the Artificial Intelligence and Big Data Expo that is taking place in Amsterdam, California, and London. A number of other notable events, including the Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo, are held concurrently with the comprehensive event that is being held.

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