Total Recall with NLP and LLMs - Deep Random Talks
4🤔 Have you ever thought about the relationship between cognition, language, and creativity? It's a fascinating topic! Language serves as our interface to communicate our thoughts and explore cognitive abilities. It's like connecting the dots between different ideas and finding unique overlaps.
💡 What's even more intriguing is how language technology has advanced over the years. Initially, sentiment analysis was the limit, but then Transformers revolutionized the field. Now, we have generatively pre-trained models with emergent multitask capabilities. Language is not just the interface of cognition but also becoming the interface of intelligence in machines.
🗨️ Conversations play a vital role in the creative thinking process. When we discuss ideas with others, it becomes clearer what we're trying to convey, and their input can even change our perspective. Language technology, focused on understanding and generating text, aims to facilitate this creative activity.
⚡ We now have the ability to convey information to machine learning models using language. However, we still have much to learn about the representations used by these models. Understanding these representations will be crucial as we move forward and treat these models as if they have human-like representations.
💭 Exploring the possibilities of three-way interactions between humans and machines is where it gets truly interesting. By involving humans as tools within the language models' process, we can bridge the context gap. Machines can ask follow-up questions, seek further information, and act as mediators in conversations, enriching the overall communication.
🔍 This human-machine collaboration can be invaluable, providing different perspectives and helping to refine ideas. It's like having a third brain involved, keeping track of the conversation's nuances and providing valuable insights.