Large language models (LLMs) have shown strong performance in tasks across domains but struggle with chemistry-related problems. These models also lack access to external knowledge sources, limiting their usefulness in scientific applications. We introduce ChemCrow, an LLM chemistry agent designed to ...
A chief goal of artificial intelligence is to build machines that think like people. Yet it has been argued that deep neural network architectures fail to accomplish this. Researchers have asserted these models’ limitations in the domains of causal reas
The expressive power and effectiveness of large language models (LLMs) is going to increasingly push intelligent agents towards sub-symbolic models for natural language processing (NLP) tasks in human–agent interaction. However, LLMs are characterised by a performance vs. transparency trade-off that...
similar to a pre-activation residual network (He et al., 2016) (原来layernorm后置的设计被改成前置)and an additional layer normalization was added after the final self- attention block(最后一个self attention layer额外增加了一个layer norm). A modified initialization which accounts for the accumulat...
Artificial intelligence (AI), particularly generative AI and Large Language Models (LLMs), could hold the key to generating, even automating, this key data and as such be considered a co-creative add-on. This study contributes to the literature by introducing the use of Meta's open-source ...
GitHub Copilot is powered by Large Language Models (LLMs) to assist you in writing code seamlessly. In this unit, we focus on understanding the integration and impact of LLMs in GitHub Copilot. Let's re...
A large language model (LLM) is a type of artificial intelligence model that is designed to understand and generate human-like language on a large scale.
It is also relatively versatile, allowing users to apply it to multiple kinds of tasks. Note that although it is the most commonly used LLM application, ChatGPT is not always the best tool for what you want to do; other AI tools, such as GitHub Copilot and Llama, are optimised for ...
When it comes to the sizes of language models, small models are actually no slouches; they can be highly usable for completing specialized tasks. But it’s the large-scale language models — those comprising massive datasets, such as those powering OpenAI’s GPT (which stands for generative pr...
Large Language Models (LLMs) have a wide range of applications across industries, enabling businesses to automate tasks, enhance customer interactions, and streamline workflows. Here are some key use cases: AI-Powered Copywriting - LLMs like GPT-3, ChatGPT, Claude, Llama 2, Cohere Command, and...