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AI Revolution - Transformers and Large Language Models (LLMs)
LLMs struggle with challenges like the compositionality gap (Measuring and Narrowing the Compositionality Gap in Language Models by Ofir Press and colleagues; 2023). This means LLMs cannot connect inferences or adapt responses to new situations. Overcoming these obstacles requires augmenting LLMs with techniques that add true comprehension.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
Horizontal LLMs will lose .
Rob May • 5 Contrarian AI Theses For Early Stage Investors
maintain the Transformers Python library, which is used for NLP tasks, includes implementations of state-of-the-art and popular models like Mistral 7B, BERT, and GPT-2, and is compatible with PyTorch, TensorFlow, and JAX.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
LeCun points to four essential characteristics of human intelligence that current AI systems, including LLMs, can’t replicate: reasoning, planning, persistent memory, and understanding the physical world. He stresses that LLMs’ reliance on textual data severely limits their understanding of reality: “We’re easily fooled into thinking they are intel... See more