Did you know that the global service robotics market is projected to grow from $41.5 billion in 2023 to $84.8 billion by 2028? That’s nearly doubled in just five years! Robots aren’t just cool gadgets anymore – they’re becoming essential tools in maintenance and repair tasks. […]
All Posts
Discover how multi-round jailbreaking attacks expose critical vulnerabilities in Large Language Models (LLMs). Learn about the MRJ-Agent's novel strategies and the implications for AI safety and development. Dive into the research findings that reveal the limitations of current defense mechanisms against sophisticated dialogue-based attacks.
Discover how Photon is revolutionizing the training of large language models by enabling federated learning across distributed GPUs, drastically reducing communication overhead and costs. Learn about its innovative approach and impressive performance gains.
Discover how to evaluate the performance of Large Language Models (LLMs) using OpenAI's Python API and Opik. Learn about detecting hallucinations, measuring context recall, and integrating with CI/CD pipelines to ensure your LLM applications are accurate and reliable.
Discover how the groundbreaking paper 'Attention Is All You Need' revolutionized AI and LLMs, influencing models like GPT-3 and BERT. Explore its impact on various industries and the future challenges in AI development.
Discover how NVIDIA's Star Attention mechanism is transforming large language model (LLM) inference, reducing time and memory usage by up to 11x while maintaining high accuracy. Learn about its innovative two-phase process and seamless integration with Transformer-based LLMs.
Explore the debate between RL-trained reasoners and traditional LLMs in AI. Can reinforcement learning truly enhance reasoning, or do traditional models hold their ground? Dive into the latest advancements and challenges in AI reasoning capabilities.
Large Language Models (LLMs) like GPT-4 and Bard have transformed AI, but recent research reveals they lack genuine step-by-step reasoning. Discover the implications for robotics, business intelligence, and ethical concerns in our latest blog.
Discover how pruning and quantization are revolutionizing large language models like Meta's Llama 3.1 8B, achieving remarkable efficiency and performance gains. Explore the latest advancements and their far-reaching implications for AI and machine learning.
Discover how LLM embeddings excel in high dimensional regression, the impact of RL-HF on model performance, and innovative solutions from Giga ML, Langdock, and Alibaba. Explore advancements in business intelligence and robotics, all driven by large language models.
Discover how fine-tuning language models can transform AI interactions from robotic responses to natural, friendly conversations. Explore the latest experiment aiming to make AI feel more like chatting with a friend, and its vast implications across various fields.
Columbia University is now accepting PhD applications for research in neural models and language interaction. Dive into groundbreaking studies on LLM control methods, property discoveries, and innovative pretraining techniques. Join esteemed faculty in addressing core challenges and advancing AI understanding.
Discover how the integration of Large Language Models (LLMs) is evolving from simple text files to more complex, persuasive interactions. Explore the future of AI, ethical considerations, and the impact on various industries. Dive into the fascinating world of LLMs and their transformative potential.
