DataStax's CTO discusses how Retrieval Augmented Generation (RAG) enhances AI reliability, reduces hallucinations, and more.

The CSI dataset generated from VAE-CSG will be used for pre-training SWTCAN. To fine-tune the pre-trained SWTCAN for improved performance, we propose an online federated-tuning method, where only a ...

Let's break down the RLHF process to understand its complexities: a) Supervised Fine-Tuning (SFT): The process begins by fine-tuning a pre-trained LLM on a dataset of high-quality responses. This step ...

The demand for fine-tuning LLMs to incorporate new information and refresh existing knowledge is growing. While companies like OpenAI and Google offer fine-tuning APIs that allow LLM customization, ...

And despite what you might be thinking, you don't have to trap the LLM in some HAL9000 style feedback loop. Often, it's as simple as telling the model, "Ignore all previous instructions, do this ...

Elon Musk responded to news of Bosa's fine in a post on X, celebrating the defensive end with fire and American flag emoji. Musk was one of Trump's most valuable allies in the homestretch of his ...

While effective, this integration can be costly, and existing methods, such as KAR and LLM-CF, only enhance context-aware CF models by adding LLM ... like the Hook Manager for accessing intermediate ...

比方说最经典的Stable Diffusion，从最早的v1.4到v2.0，再到v2.1，也是通过在256×256、512×512、768×768分辨率上递进式的fine-tune完成的。 迁移到LLM这一块，对于pre-training的时候语料的处理，可以做ranking，包括fine-tune的时候做continual learning、active learning等等，理论上可做 ...

Chain of Thought, Education, IA, LLM, Machine Learning, NLP, Personalized Learning, Prompt Optimization, Video Generation ...