AI models, particularly Large Language Models (LLMs), have grown rapidly. ChatGPT by OpenAI, 2. Claude by Anthropic, and Claude Projects (仅pro和work账户可用) and Artifacts https://www.reworked.co/c…
Key Facts and Features What Is GPT-4? GPT-4 is a powerful large language model (LLM) from OpenAI that can help with a range of tasks, from writing emails to generating code. GPT-4 is a major upgrade from previous generative AI models from OpenAI. Which you can see in how it handles...
Large language models (LLMs) demonstrate remarkable multilingual capabilities without being pre-trained on specially curated multilingual parallel corpora. It remains a challenging problem to explain the underlying mechanisms by which LLMs process multilingual texts. In this pap...
Large language models (LLMs) have significantly advanced the field of natural language processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of applications. However, directly applying LLMs to solve sophisticated problems in specific domains meets many hurdles, caused...
Large Language Models (LLMs). LLMs are essentially the ‘bibliophiles’ of AI models. They consume vast amounts of text data and generate human-like text. LLMs are used for a myriad of NLP tasks, including text completion, translation, and question-answering. Prime examples include GPT-3 ...
What will the final landscape look like after the fierce competition for developing large language models? Huang Tiejun, head of the Beijing Academy of Artificial Intelligence, gives us a glimpse. "In the long run, large models will become the infrastructure of the whole society, just like water...
When we talk about AI, you can distill it into a more natural interface using natural language, a reasoning engine that works on top of all your data, giving you more power. Those are the two things that we should keep in mind and ground ourselves. ...
Useful if you're planning to pre-train a very large language model (in this case, 175B parameters). LLM 360: A framework for open-source LLMs with training and data preparation code, data, metrics, and models. 4. Supervised Fine-Tuning Pre-trained models are only trained on a next-...
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. - arangodb/arangodb
直觉上似乎使用更多头可以减少计算压力。但相反,我们建议使用更少的头,因为我们观察到线性注意力存在 Free Lunch 效应,如图 5 所示。图 5 展示了使用线性注意力的 Small,Base,Large,XLarge 模型使用不同头数量的延迟和 GMACs 变化。 图5:线性注意力中的 Free Lunch 效应:不同头数量线性注意的延迟与理论 GMACs ...