Learn to incorporate Llama Guard into RAG pipelines for moderating LLM inputs/outputs and combating prompt injection. Find more details on Towards Data Science.

The rise of large language models driven by artificial intelligence has reshaped natural language processing. Post-training quantization (PTQ) presents a challenge in deploying these models, with optimization choices during pre-training significantly impacting quantization performance. Cohere AI’s research delves into these intricacies, challenging the belief that quantization sensitivity is solely determined by model scale. The study’s…

Privacy in machine learning models has become a critical concern due to Membership Inference Attacks (MIA). The new Relative Membership Inference Attack (RMIA) method, developed by researchers at the National University of Singapore, demonstrates its superiority in identifying membership within machine learning models, offering practical and scalable privacy risk analysis. For more information, visit the…

Autonomous driving technology combines AI, machine learning, and sensors to create vehicles capable of human-like decision making. DriveLM, a new model, employs Vision-Language Models for autonomous driving, demonstrating superior adaptability in handling complex driving scenarios. This approach represents a significant advancement in enhancing vehicle perception and decision-making, potentially revolutionizing autonomous driving technology.

MIT, MyShell.ai, and Tsinghua University researchers have developed OpenVoice, an open-source instant voice cloning method. It overcomes voice cloning challenges by enabling flexible voice style control and zero-shot cross-lingual cloning. OpenVoice can replicate a voice, generate speech in multiple languages, control voice styles, and accurately clone the reference speaker’s tone color.