Ever since ChatGPT came out, people have been building a personalized ChatGPT for their data. We even wrote a tutorial on this, and then ran a competition about this a few months ago. The desire and demand for this highlights an important limitation of ChatGPT - it doesn’t know about YOUR data, and most people would find it more useful if it did. So how do you go about building a chatbot that knows about your data?
I built an app for question-answering over the full history of Lex Fridman podcasts. It uses Whisper for audio-to-text followed by Langchain for dataset processing and embedding. It uses Pinecone to store embeddings and Langchain vectorDB search to find relevant podcast clips given a user question. It uses UI elements inspired by Mckay Wrigley’s work. Code is here.
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All production ML models need monitoring. NLP models are no exception. But, monitoring models that use text data can be quite different from, say, a model built on tabular data.
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Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights. It is an empirical science and the effect of prompt engineering methods can vary a lot among models, thus requiring heavy experimentation and heuristics.
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Use TypeScript to build, test, and deploy serverless functions driven by events or a schedule to any platform in seconds, with zero infrastructure.
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Getting a working machine learning model deployed for user consumption is a great achievement. We see statistics showing that machine learning models often fail to make it into production, whether this is due to insufficient data, lack of direction or other reasons.
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Moving across the typical machine learning lifecycle can be a nightmare. From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot.
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ChatGPT has reimagined the possibilities for chatbots! This webinar will show you how Botpress is reinventing the entire bot-building process with generative AI.
[Link](ChatGPT has reimagined the possibilities for chatbots! This webinar will show you how Botpress is reinventing the entire bot-building process with generative AI.)
