#retrieval augmented generation

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NVIDIA GTC 2024: Top 5 Trends

NVIDIA GPUs power generative AI for enterprise
Trends at NVIDIA GTC 2024: retrieval-augmented generation and 'AI factories'

Google's DataGemma is the first large-scale Gen AI with RAG - why it matters

Google's DataGemma enhances generative AI's accuracy by integrating retrieval-augmented generation with publicly available data from Data Commons.

Why experts are using the word 'bullshit' to describe AI's flaws

AI language models can produce false outputs, termed as 'hallucinations' or 'bullshit', with retrieval-augmented generation technology attempting to reduce such errors.

Want generative AI LLMs integrated with your business data? You need RAG

RAG integrates LLMs with information retrieval, enhancing AI's accuracy and relevance in business applications.

Why AI language models choke on too much text

Large language models are evolving to handle more tokens, allowing for greater complexity in tasks and improved capabilities.

Understanding RAG: How to integrate generative AI LLMs with your business knowledge

RAG integrates generative AI with information retrieval, enhancing accuracy and relevance in business applications.

NVIDIA GTC 2024: Top 5 Trends

NVIDIA GPUs power generative AI for enterprise
Trends at NVIDIA GTC 2024: retrieval-augmented generation and 'AI factories'

Google's DataGemma is the first large-scale Gen AI with RAG - why it matters

Google's DataGemma enhances generative AI's accuracy by integrating retrieval-augmented generation with publicly available data from Data Commons.

Why experts are using the word 'bullshit' to describe AI's flaws

AI language models can produce false outputs, termed as 'hallucinations' or 'bullshit', with retrieval-augmented generation technology attempting to reduce such errors.

Want generative AI LLMs integrated with your business data? You need RAG

RAG integrates LLMs with information retrieval, enhancing AI's accuracy and relevance in business applications.

Why AI language models choke on too much text

Large language models are evolving to handle more tokens, allowing for greater complexity in tasks and improved capabilities.

Understanding RAG: How to integrate generative AI LLMs with your business knowledge

RAG integrates generative AI with information retrieval, enhancing accuracy and relevance in business applications.
moreretrieval-augmented-generation

Improving ChatGPT's Ability to Understand Ambiguous Prompts

Large language models (LLMs) like ChatGPT are driving innovative research and applications.
Retrieval augmented generation (RAG) enhances the accuracy of generated responses by integrating external knowledge.
The open source project Akcio utilizes the RAG approach to create a robust question-answer system.
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