- Discusses the use of consumer graphics cards for fine-tuning large language models (LLMs)
- Compares consumer graphics cards, such as NVIDIA GeForce RTX Series GPUs, to data center and cloud computing GPUs
- Highlights the differences in GPU memory and price between consumer and data center GPUs
- Shares the author's experience using a GeForce 3090 RTX card with 24GB of GPU memory for fine-tuning LLMs
ChatQA, a new family of conversational question-answering (QA) models developed by NVIDIA AI. These models employ a unique two-stage instruction tuning method that significantly improves zero-shot conversational QA results from large language models (LLMs). The ChatQA-70B variant has demonstrated superior performance compared to GPT-4 across multiple conversational QA datasets.
Delving into transformer networks
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