Interesting Engineering
Mar 26, 2026Feb 09, 2024🪖 How Gotland-Class Submarines transform NATO's approach to China and RussiaCheck out this week's top 5 IE Originals videos, featuring the most fascinating stories in science, e
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Interesting Engineering
Mar 26, 2026Mar 08, 2024🧬 Why are gene-editing babies controversial? and How the $33 million USAF UAVs are operatedCheck out this week's top 5 IE Originals videos, featuring the most fascinating stories in
All Trends AI
Mar 26, 2026🧠 ChatGPT can now read its answers out loudPLUS: Elon Musk’s response to OpenAI’s blog post
What you need for better GenAI applications
Learn more from Pinecone Research on how Retrieval Augmented Generation (RAG) using Pinecone serverless increases relevant answers from GPT-4 by 50%.
•The larger the search data, the more “faithful” the results.
•RAG with massive on-demand data outperforms GPT-4 (without RAG) by 50%, even with the data *it was explicitly trained on*.
•RAG, with a lot of data, ensures state of the art performance no matter the LLM you choose, encouraging the use of different LLMs (e.g., open-source or private LLMs).
Learn more here
All Trends AI
Mar 26, 2026🧠 ChatGPT can now read its answers out loudPLUS: Elon Musk’s response to OpenAI’s blog post
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Pinecone
All Trends AI
Mar 26, 2026👓 Brilliant Labs’ new AI glasses have ‘Superpowers’ and a comical charging nosePLUS: Google Gemini vs ChatGPT: The Final Showdown
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What you need for better GenAI applications
Learn more from Pinecone Research on how Retrieval Augmented Generation (RAG) using Pinecone serverless increases relevant answers from GPT-4 by 50%.
•The larger the search data, the more “faithful” the results.
•RAG with massive on-demand data outperforms GPT-4 (without RAG) by 50%, even with the data it was explicitly trained on.
•RAG, with a lot of data, ensures state of the art performance no matter the LLM you choose, encouraging the use of different LLMs (e.g., open-source or private LLMs).
All Trends AI
Mar 26, 2026🧠 Air Canada’s chatbot failPLUS: The jobs most likely to be taken over by AI
What you need for better GenAI applications
Learn more from Pinecone Research on how Retrieval Augmented Generation (RAG) using Pinecone serverless increases relevant answers from GPT-4 by 50%.
•The larger the search data, the more “faithful” the results.
•RAG with massive on-demand data outperforms GPT-4 (without RAG) by 50%, even with the data *it was explicitly trained on*.
•RAG, with a lot of data, ensures state of the art performance no matter the LLM you choose, encouraging the use of different LLMs (e.g., open-source or private LLMs).
Learn more here