What I've Learned Building Interactive Embedding Visualizations
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What I've Learned Building Interactive Embedding Visualizations
- Requirements (or constraints) : What does success look like? What can we not do?
- Methodology : How will we use data and code to achieve success?
- Implementation : What infrastructure is needed in production?
Real-time Machine Learning For Recommendations
3 days reading through the code of the paper that solved this, here are some notes:
- Long term interactions: the promise of LLM agents is to potentially run over weeks. A lot of the ideas in the paper tackle exactly this problem
- Memory: It’s easy to write down interactions of agents. But how do we track these over time? How do these change with ti... See more
- Long term interactions: the promise of LLM agents is to potentially run over weeks. A lot of the ideas in the paper tackle exactly this problem
- Memory: It’s easy to write down interactions of agents. But how do we track these over time? How do these change with ti... See more
Sanyam Bhutani • Tweet
An embedding is a numerical representation of content in a way that machines can process and understand.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
First of all, I'd say you have a bigger problem where your company is trying to find nails with a hammer. That is where your sentiment comes from, and could be an obstacle for both you and the company. It's the same deal when I see people keep on talking about RAG, and nowadays "modular RAG", when really, you could treat everything as a software co... See more