Tonic.ai Ranks CustomGPT RAG Above OpenAI


Are you ready to dive into the cutting-edge world of retrieval-augmented generation (RAG)? In this blog post, we will explore the latest research on how RAG is revolutionizing the capabilities of large language models (LLMs) by incorporating external data sources. If you want to learn more about the exciting advancements in generative AI and discover why CustomGPT.ai is outperforming OpenAI in RAG comparisons, then keep reading!

**RAG Time**

RAG is a game-changer in the realm of generative AI, offering enhanced response accuracy and quality while reducing hallucinations. The key to RAG’s success lies in its vector embeddings, which provide LLMs with robust probabilistic information for better information retrieval. Tonic.ai has been conducting a series of studies using its evaluation platform, Tonic Validate, to compare RAG systems. One recent test focused on CustomGPT.ai, a no-code tool that simplifies the deployment of generative AI chatbots using a company’s vector storage.

During the test, CustomGPT.ai went head-to-head with OpenAI’s RAG capabilities, using a set of essays by Paul Graham and benchmark questions. The results were clear – CustomGPT.ai consistently delivered more precise and contextually relevant responses compared to OpenAI. With a mean score of 4.4 and only 6 answers below a score of 4, CustomGPT.ai emerged as the top performer in the evaluation.

**The Future of RAG**

While OpenAI may lead in LLM development, it’s important to note that RAG accuracy depends on more than just the LLM generating the response. Factors like data sources, vector embeddings, and chunking strategy play a crucial role in determining the quality of RAG outputs. Interested in learning more about RAG benchmarks and CustomGPT’s implementation? Join us for a webinar this week, featuring experts from CustomGPT, MIT, and Tonic.ai.

Don’t miss this opportunity to gain insights into the future of generative AI and discover how CustomGPT.ai is redefining the chatbot landscape. Register now for the webinar and stay ahead of the curve in the world of artificial intelligence.🌟

Make sure to follow @voicebotai and @erichschwartz on Twitter for the latest updates on AI and technology trends. Stay tuned for more exciting developments in the world of generative AI!

If you’re curious about other recent advancements in AI, check out our previous articles on [OpenAI Unveils Custom ‘GPTs’](https://voicebot.ai/2023/11/06/openai-unveils-custom-gpts-allowing-anyone-to-build-chatgpt-agents), [Cohere Releases Enterprise LLM Command R+](https://voicebot.ai/2024/04/05/cohere-releases-enterprise-llm-command-r-signs-up-with-microsoft-azure-to-host), and [Hugging Face Launches Free Customizable Generative AI Chatbots](https://voicebot.ai/2024/02/05/hugging-face-launches-free-customizable-generative-ai-chatbots).

Stay informed, stay curious, and stay ahead of the game in the world of AI! 🚀🔍🤖

*Author:* Eric Hal Schwartz – Head Writer and Podcast Producer for Voicebot.AI. Based in New York City, Eric specializes in telling the stories of how science and technology intersect with business and society.

Don’t forget to check out our previous article: [Spotify Releases Generative AI Playlist Creator](https://voicebot.ai/2024/04/08/spotify-releases-generative-ai-playlist-creator). 🎧🎶

*Article Published on April 8, 2024 at 7:00 pm* 📆


👉🔗 For more details, [visit the original article link here](https://www.tonic.ai/blog/rag-evaluation-series-validating-the-rag-performance-of-openai-vs-customgpt-ai).

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