Thanks for the video. So, is Weaviate a database service that is leveraging the LLM to generate natural language queries to access the data? So, basically rather than hiring an SQL programmer, you just feed Weaviate the data (somehow), and use the LLM to gen the queries, which are then fed back to Weaviate so it can provide the query results?
Thanks for watching it and for your question! Weaviate is a vector database (we've made a whole video on that topic, it's linked in the description, if you're interested), which means in addition to storing structured and unstructured data, like a "classical" database, it also stores the vector embeddings of the items. This way you can find related terms and use natural language queries. The default way to interact with Weaviate as a developer would be through GraphQL, or one of the other APIs (e.g. Python). Do check out our video on the topic, if you want to know more details!
Are there any LLM's out there that are specialized on teaching(potential students) and optimized by collaborating with people that are specialists in pedagogical frameworks and pedagogical tools?
Haven't heard of something like this, except Khan Academy who announced they will use LLMs in teaching. Also, check out Karpathy's new company. x.com/karpathy/status/1813263734707790301?t=1Fng5bSgI4Bm5tcoJdHIYA&s=19
Cool! I love these hands-on videos with code examples! Thanks for sharing the notebook!
Awesome! Thanks for sharing!
Great video! 🤌
Great video Letitia
Thank you! 😁
Awesome!!
Thanks for the video. So, is Weaviate a database service that is leveraging the LLM to generate natural language queries to access the data? So, basically rather than hiring an SQL programmer, you just feed Weaviate the data (somehow), and use the LLM to gen the queries, which are then fed back to Weaviate so it can provide the query results?
Thanks for watching it and for your question! Weaviate is a vector database (we've made a whole video on that topic, it's linked in the description, if you're interested), which means in addition to storing structured and unstructured data, like a "classical" database, it also stores the vector embeddings of the items. This way you can find related terms and use natural language queries. The default way to interact with Weaviate as a developer would be through GraphQL, or one of the other APIs (e.g. Python). Do check out our video on the topic, if you want to know more details!
@@AICoffeeBreak Ah Thanks!
nice one
Are there any LLM's out there that are specialized on teaching(potential students) and optimized by collaborating with people that are specialists in pedagogical frameworks and pedagogical tools?
Haven't heard of something like this, except Khan Academy who announced they will use LLMs in teaching. Also, check out Karpathy's new company. x.com/karpathy/status/1813263734707790301?t=1Fng5bSgI4Bm5tcoJdHIYA&s=19
☺
but is the benefit worth the potential negatives? surely, there are tradeoffs here.
nice video. I am from India. I am working in the AI field. do you have any remote opportunities for me?
Hey letitia. I think you should consider changing the logo. It kinda looks like a turd