Language Models Represent Space and Time https://arxiv.org/abs/2310.02207 GLaM: Efficient Scaling of Language Models with Mixture-of-Experts https://arxiv.org/abs/2112.06905 Adam: A Method for Stochastic Optimization https://arxiv.org/abs/1412.6980 Efficient Estimation of Word Representations in V...
d The three panels represent three hypotheses on the link between deep language models and the brain. Each dot represents one embedding. Algorithm are said to converge to brain-like computations if their performance (x-axis: i.e., accuracy at predicting a word from its previous context) ...
Agent-based modeling and simulation have evolved as a powerful tool for modeling complex systems, offering insights into emergent behaviors and interactions among diverse agents. Recently, integrating large language models into agent-based modeling and simulation presents a promising avenue for enhancing si...
The expressive power and effectiveness of large language models (LLMs) is going to increasingly push intelligent agents towards sub-symbolic models for nat
This makes sense because loading less language models means less memory consumption and better runtime performance.In general, it is always a good idea to restrict the set of languages to be considered in the classification process using the respective api methods. If you know beforehand that ...
models. Because these labeled datasets require time-consuming annotation—a process involving manual labeling by humans—gathering sufficient data can be prohibitively difficult. Self-supervised approaches can be more time-effective and cost-effective, as they replace some or all manually labeled training...
It is recommended to unpack the nemo model to avoid the unpacking inside the docker container - it may overflow disk space. For that you can run: mkdir MY_MODEL tar -xvf MY_MODEL.nemo -c MY_MODEL Multi-GPU evaluation with NVIDIA nemo models By default, only one GPU is used. But we...
One core principle of RAG is theseamless integration of retrieval and generation, which hinges on the quality of the retrieval mechanism. Effective retrieval depends on vector embeddings that accurately represent semantic meaning. For instance, dense retrieval models like DPR (Dense Passage Retrieval) ...
The concept of theoretical morphospace32 was introduced within evolutionary biology33,34,35 as a systematic way of exploring all possible structures allowed to occur in a given system. This includes real (morphological) structures as well as those resulting from theoretical or computational models. ...
Synthesis protocol exploration is paramount in catalyst discovery, yet keeping pace with rapid literature advances is increasingly time intensive. Automated synthesis protocol analysis is attractive for swiftly identifying opportunities and informing predictive models, however such applications in heterogeneous cat...