Study Says LLMs Predict the Future Better Than Humans
Forget crystal balls, language models are the new fortune tellers. Research suggests they can forecast almost as well as humans, and might even surpass us in some cases!
Forget crystal balls, language models are the new fortune tellers. Research suggests they can forecast almost as well as humans, and might even surpass us in some cases!
Explore the inner workings of Large Language Models (LLMs) and learn how their memory limitations, context windows, and cognitive processes shape their responses. Discover strategies to optimize your interactions with LLMs and harness their potential for nuanced, context-aware outputs.
The Apollo project is revolutionizing global healthcare by creating multilingual medical AI models that bring medical knowledge to 6 billion people in 6 languages.
This paper introduces a novel method to bypass the filters of Large Language Models (LLMs) like GPT4 and Claude Sonnet through induced hallucinations, revealing a significant vulnerability in their reinforcement learning from human feedback (RLHF) fine-tuning process.
Explore the intricate balance between memorization and generalization in large language models (LLMs). Discover the factors influencing memorization, its implications, and strategies to enhance generalization for reliable and adaptive AI systems.
Groq's LPU: Faster LLM inference with real-world benefits. Explore how this new tech empowers developers & unlocks potential for various applications.