explains, “Crafting effective prompts for LLMs is an art. The key lies in keeping them concise and focused. Instead of cramming in multiple questions, ask one clear and specific question at a time. Providing w
Why are there so many LLMs? Until a few years ago, LLMs were limited to research labs and tech demos at AI conferences. Now, they're powering countless apps and chatbots, and there are hundreds of different models available that you can run yourself (if you have the computer skills)....
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...
Knowledge graphs are a reliable option for grounding LLMs with their ability to represent both structured and unstructured data,opens in new tabunlike vector databases. This technique is calledopens in new tabretrieval augmented generation(RAG) First, the LLMretrievesrelevant information from the knowl...
自动驾驶作为目前cv三大最可能大规模落地的应用(LLM, AIGC, AD)，不管是从技术栈本身的全面性，还是...
LLMsare black box AI systems that use deep learning on extremely large datasets to understand and generate new text. Modern LLMs began taking shape in 2014 when the attention mechanism -- a machine learning technique designed to mimic human cognitive attention -- was introduced in aresearch pape...
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 ...
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. ...
Bloomberg recently made its foray into generative AI with its BloombergGPT large language model (LLM), which is purpose-built for finance and is trained on a vast range of financial data. Their model is safeguarded against hallucination since all genAI responses must be grounded in Bloomberg cont...
Large language models can perform content generation, translation, and analytical reasoning tasks. Find out the top 10 LLMs to use in 2024.