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The Reflexion method [68] constructs an agent that learns over multiple episodes. At the end of each episode, the LLM is given the record of the episode, and prompted to think up "lessons learned", which would help it perform better at a subsequent episode. These "lessons learned" are given to the agent in the subsequent episodes. [citation needed]
Mamba LLM represents a significant potential shift in large language model architecture, offering faster, more efficient, and scalable models [citation needed]. Applications include language translation, content generation, long-form text analysis, audio, and speech processing [ citation needed ] .
The original BERT paper published results demonstrating that a small amount of finetuning (for BERT LARGE, 1 hour on 1 Cloud TPU) allowed it to achieved state-of-the-art performance on a number of natural language understanding tasks: [1] GLUE (General Language Understanding Evaluation) task set (consisting of 9 tasks);
The paper introduced a new deep learning architecture known as the transformer, based on the attention mechanism proposed in 2014 by Bahdanau et al. [4] It is considered a foundational [5] paper in modern artificial intelligence, as the transformer approach has become the main architecture of large language models like those based on GPT.
The original Transformer paper reported using a learned positional encoding, [70] but finding it not superior to the sinusoidal one. [1] Later, [ 71 ] found that causal masking itself provides enough signal to a Transformer decoder that it can learn to implicitly perform absolute positional encoding without the positional encoding module.
The R1 paper claims the model was trained on the equivalent of just $5.6 million rented GPU hours, which is a small fraction of the hundreds of millions reportedly spent by OpenAI and other U.S ...
Gemini's launch was preluded by months of intense speculation and anticipation, which MIT Technology Review described as "peak AI hype". [50] [20] In August 2023, Dylan Patel and Daniel Nishball of research firm SemiAnalysis penned a blog post declaring that the release of Gemini would "eat the world" and outclass GPT-4, prompting OpenAI CEO Sam Altman to ridicule the duo on X (formerly Twitter).
As LLM scholars and practitioners dissect the DeepSeek papers, here is what we know so far: “DeepSeek’s model does not fire on all cylinders at all times but rather gets activated at different ...