After appropriately accounting for this issue, the authors' results reverse from a small but highly significant finding to no evidence of model bias. DISCUSSION. The establishment of best practices for LLM research is urgently needed, as demonstrated in this case where accounting for repeat prompting...
Their intuitive documents editor is integrated with helpful AI research and writing tools that make it easy to create any content you need from a simple text prompt or command. You can also upload PDF files and ask questions about it on the chatbot, or take advantage of its web connection t...
Whether you want to enhance communication, automate content creation, or derive insights from vast textual data, LLMs automate repetitive tasks. However, there are plenty of LLMs by OpenAI, Meta, Microsoft, Google, and other companies in the market. Each LLM has varying functionalities and multip...
Hofstra Law has 10 national and global centers of excellence to foster your research, education and action on critical issues facing today's society. These centers are just a part of a massive network of resources that will help you build your skill set and get the hands-on experience you ...
Awesome-Code-LLM 👨💻 An awesome and curated list of best code-LLM for research. Awesome Federated Learning Systems A curated list of Federated Learning Systems related academic papers, articles, tutorials, slides and projects. Awesome Federated Learning A curated list of federated learning pu...
Cleo is a money management app powered by AI and a system of large language models (LLMs) to help you understand your spending behavior. The app features a user-friendly interface and a conversational AI assistant, so you can talk to Cleo similarly to how you would a friend. Using AI, ...
However, it is not clear how the LLM interprets and handles queries. How much does it cost? As of January 2025, the annual cost for a single terminal subscription is $31,980. The annual cost for multiple terminal subscriptions is $28,320 per terminal for clients with more than one ...
2. Using LLMs to Convert Unstructured Data to Knowledge Graphs Noah demonstrates how LLMs can be used for entity extraction, semantic relationship recognition, and context inference to generate interconnected knowledge graphs. This is a great inspiration to harness LLMs for your uses of unstructured...
“算法-数据-算法-数据…”这是必然的上升螺旋,作为研究人员也要服从历史的进程。 ZenMoore 不只是多模态和数据集, 看Outstanding Paper 里面 Theory of Mind 那篇,是从认知科学的角度切入 NLP. NLP 本质上做的是认知而不是感知,不像 CV 感觉就是感知智能之集大成者。所以个人感觉从认知科学那里找找突破口也不...
data membership inference attacks enable an attacker to determine whether a particular bit of information already known to them was likely contained within the training data of the model. For instance, they might be able to determine whether their PII in particular was used to train the LLM. ...